The Class of Series – Parallel Graphs. Part I

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PHD,GRK系列平行钢铆夹具说明书

PHD,GRK系列平行钢铆夹具说明书

Precision Jaw Movement Highest Grip Force in Its ClassGRK01AWear CompensatingOver Life of Unit• High Moment CapacityAllows for Longer Toolingand Greater Part WeightsPatent PendingIdeal for Assembly and RoboticsSERIES GRKPARALLEL GRIPPERS GRK(800) 624-8511/grkGRK01A© Copyright 010, by PHD, Inc. All Rights Reserved. Printed in the U.S.A .ORDERING DATA: SERIES GRK PARALLEL GRIPPERSINDEX:Ordering Data Page Benefits Page 3Dimensions Pages 4 and 5Engineering Data Pages 6 to 9Options & AccessoriesPages 10 to 16TOTAL JAW TRAVEL = OPEN POSITION - CLOSED POSITION3(800) 624-8511/grkGRK01Agasket and seals standard unit includes magnet for use with two-position teachableor single position switchesproximity switch target and mounting brackets are optionalfor use with inductiveproximity switchesavailable in hardened steel jaws with accurate mounting of toolingprotects magnetic large oval bore highest average grip force to height ratio in its class increased mounting flexibilitywear-compensating jaw guide system provides of jaw hardened steel cam driver provides high grip force and synchronous jaw movementprovides Spring assist available on open or close. See pages 10 and 11 for detailed information.On average 30% higher grip forces than previously cataloged!SERIES GRK PARALLEL GRIPPERSMajor Benefits• Compact, low profile design provides high grip force and large moment capacities with low overall weight.• Ultra-rigid, wear-compensating jaw guide system eliminates jaw “free-play ” and dramatically reduces jaw deflection when gripping or moving loads over life of unit.• True parallel jaw motion simplifies jaw tooling and is ideal for centering parts of various sizes.• H7-tolerance dowel pin holes included for accurate alignment of tooling and gripper mounting.• Rugged construction ensures long operating life.• Two grip force/jaw travel combinations available for each size of gripper.• Double acting for use in both internal and external gripping applications.• Manifold porting capability allows for nested gripper installation.• Mounting provided from top, bottom, front and back of gripper.• Available with metric and imperial mounting threads and ports.• Supplied “switch-ready ” for easy integration of optional magnetic position sensing switches.• Magnetic sensing for new two-position teachable switch available to simplify set-up and integration. Two teachable positions per switch.• Inductive proximity switches available for discrete indication of jaw position (option -CB).• Standard four working day delivery reduces integration time.Industry/Process Uses• Assembly machine and machine builders • Robotic integrators • Automotive• Medical device manufacture • Semiconductor manufacture• Laboratory processing applications• Clamping and fixturing during assembly operations • Centering and registration of parts• Incorporation into space restricted processing and manufacturing equipment4(800) 624-8511/grkGRK01AA OPEN (LONG)5(800) 624-8511/grkGRK01ANOTES:1)DESIGNATED C IS CENTERLINE OF UNIT 2)METRIC INFORMATION SHOWN IN [ ]3)CIRCLED NUMBERS INDICATE POSITIONS4)*A OPEN REFLECTS SMALLEST POSSIBLE OPEN DIMENSION A CLOSED REFLECTS LARGEST POSSIBLE CLOSED DIMENSION5)ALL DIMENSIONS ARE REFERENCE ONLY UNLESS SPECIFICALLY TOLERANCEDL6(800) 624-8511/grkGRK01A*Spring force (S F ) varies with spring compression. The minimum spring grip force values occur with the spring at least compression (jawsfully closed on spring close units and fully open on spring open units). The maximum spring grip force values occur with the spring at most compression (jaws fully open on spring close units and fully closed on spring open units).7(800) 624-8511/grkGRK01AFa: Total for both jawsMx: Maximum allowable moment per jaw, relative to the jawmounting surfaceMy: Maximum allowable moment per jaw, relative to the geometriccenter of the jaw dowel hole pairMz: Maximum allowable moment per jaw, relative to the jawmounting surface When calculating the value for Fa, include the tooling weight, part weight, external forces, and accelerations. When calculating values for Mx, My, and Mz, include the grip force per jaw, tooling weight, part weight, external forces, and accelerations as applicable.RECOMMENDATIONSDesign tooling so that the grip point is as close to the gripper surfaces as possible. The grip force factor (Gf) values given in the table on page 6 are for zero tooling length. As the grip point is moved away from the jaw surface, the applied moment causes jaw friction to increase, resulting in reduced effective grip force. Use the tooling length factor chart on the following page to calculate the effective grip force for a specific grip point.The maximum load that grippers can handle will vary based on: size of the part being picked up, shape of the part, texture of the part, speed at which the part is transferred, working pressure, shape of the fingers, etc.TOOLING LENGTH FACTORAs the grip point is moved away from the jaw surface, the grip force is reduced due to additional friction generated by the grip induced moment. The tooling length factor allows calculation of the grip force at any grip point. The graph also indicates the maximum tooling length for each gripper size.1.000.950.900.850.800.750.700.650.600.550.50T O O L I N G L E N G T H F A C T O RTOOLING LENGTH in [mm]0.01.02.03.04.05.06.07.08.0[25.4][50.8][76.2][101.6][127.0][152.4][177.8][203.2]GRK35GRK46GRK58GRK75GRIP FORCE CALCULATION EqUATIONS:IMPERIAL: Total Grip Force [lb] = (Pressure [psi] x Gf) x Tooling Length FactorTotal Grip Force With Springs [lb] = ((Pressure [psi] x Gf) ± S F [lb]) x Tooling Length FactorMETRIC: Total Grip Force [N] = (Pressure [bar] x Gf) x Tooling Length FactorTotal Grip Force With Springs [N] = ((Pressure [bar] x Gf) ± S F [N]) x Tooling Length Factor(800) 624-8511/grkGRK01AOn average 30% higher grip forcesthan previously cataloged!GRIP FORCETotal gripping force relative to tooling length is shown below at 7 psi [6 bar] pressure. Grip force per jaw equals the total grip force divided by two. The graphs also indicate the maximum tooling length for each gripper size.0.000.50 1.00 1.50 2.00 2.50 3.00 3.50 4.000.000.50 1.00 1.500.000.50 1.00 1.50 2.000.000.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.000.001.002.003.004.005.006.000.001.002.000.001.002.003.000.001.002.003.004.005.006.007.00[12.7][25.4][38.1][50.8][63.5][76.2][88.9][101.6][12.7][25.4][38.1][50.8][63.5][76.2][88.9][101.6][114.3][127.0][25.4][50.8][76.2][101.6][127.0][152.4][162.0]6.38[25.4][50.8][76.2][101.6][127.0][152.4][177.8][190.5]7.50250 [1112.1]200 [889.6]150 [667.2]100 [444.8]50 [222.4]0[12.7][25.4][38.1][12.7][25.4][38.1][50.8]450 [2001.7]400 [1779.3]350 [1556.9]300 [1334.5]250 [1112.1]200 [889.6]150 [667.2]100 [444.8]50 [222.4]0700 [3113.7]600 [2668.9]500 [2224.1]400 [1779.3]300 [1334.5]200 [889.6]100 [444.8]0[25.4][50.8][1200 [5337.8]1000 [4448.2]800 [3558.6]600 [2668.9]400 [1779.3]200 [889.6]0[25.4][50.8][76.2]Open CloseSpring Open Spring Close 140 [622.7]120 [533.8]100 [444.8]80 [355.9]60 [266.9]40 [177.9]20 [89.0]0250 [1112.1]200 [889.6]150 [667.2]100 [444.8]50 [222.4]0 350 [1556.9]300 [1334.5]250 [1112.1]200 [889.6]150 [667.2]100 [444.8]50 [222.4]0600 [2668.9]500 [2224.1]400 [1779.3]300 [1334.5]200 [889.6]100 [444.8]0T O T A L G R I P F O R C E l b [N ]TOOLING LENGTH in [mm]T O T A L G R I P F O R C E l b [N ]TOOLING LENGTH in [mm]T O T A L G R I P F O R C E l b [N ]TOOLING LENGTH in [mm]T O T A L G R I P F O R C E l b [N ]TOOLING LENGTH in [mm]T O T A L G R I P F O R C E l b [N ]TOOLINGT O T A L G R I P F O R C E l b [N ]TOOLINGT O T A L G R I P F O R C E l b [N ]TOOLINGT O T A L G R I P F O R C E l b [N ]TOOLINGGRK3512 mm LONG TRAVELGRK4616 mm LONG TRAVELGRK5820 mm LONG TRAVELGRK7526 mm LONG TRAVEL6.5 mm S8 mm S10.5 mm12.5 mm9(800) 624-8511/grkGRK01AOn average 30% higher grip forces than previously cataloged!.00 2.50 3.00 3.50 4.000.000.50 1.00 1.50 2.00 2.50 3.00 3.50 4.000.000.50 1.00 1.50 2.00 2.50 3.00 3.50 4.00 4.50 5.002.50 3.00 3.50 4.00 4.50 5.004.00 5.00 6.000.001.002.003.004.005.006.000.001.002.003.004.005.006.007.004.00 5.00 6.007.0050.8][63.5][76.2][88.9][101.6]63.5][76.2][88.9][101.6][114.3][127.0]][101.6][127.0][152.4][162.0]6.38[101.6][127.0][152.4][177.8][190.5]7.50250 [1112.1]200 [889.6]150 [667.2]100 [444.8]50 [222.4]0[12.7][25.4][38.1][50.8][63.5][76.2][88.9][101.6][12.7][25.4][38.1][50.8][63.5][76.2][88.9][101.6][114.3][127.0]450 [2001.7]400 [1779.3]350 [1556.9]300 [1334.5]250 [1112.1]200 [889.6]150 [667.2]100 [444.8]50 [222.4]0700 [3113.7]600 [2668.9]500 [2224.1]400 [1779.3]300 [1334.5]200 [889.6]100 [444.8]0[25.4][50.8][76.2][101.6][127.0][152.4][162.0]6.381200 [5337.8]1000 [4448.2]800 [3558.6]600 [2668.9]400 [1779.3]200 [889.6]0[25.4][50.8][76.2][101.6][127.0][152.4][177.8][190.5]7.50Open CloseSpring Open Spring Close NGTH in [mm]NGTH in [mm]NGTH in [mm]NGTH in [mm]T O T A L G R I P F O R C E l b [N ]TOOLING LENGTH in [mm]T O T A L G R I P F O R C E l b [N ]TOOLING LENGTH in [mm]T O T A L G R I P F O R C E l b [N ]TOOLING LENGTH in [mm]T O T A L G R I P F O R C E l b [N ]TOOLING LENGTH in [mm]RK35ONG TRAVELRK46ONG TRAVELRK58ONG TRAVELRK75ONG TRAVELGRK356.5 mm SHORT TRAVELGRK468 mm SHORT TRAVELGRK5810.5 mm SHORT TRAVELGRK7512.5 mm SHORT TRAVEL10(800) 624-8511/grkGRK01ASPRING ASSIST CLOSE SPRING ASSIST OPENOPTIONS: SERIES GRK PARALLEL GRIPPERSspring assist provides 35% of grippingspring assist cap dimensions and manifold optionsspring assist optionseals Series GRK available in spring assist close or open configurations(close shown)hardcoat aluminum cap in Imperial and metric configurationshardcoat aluminum pistonMajor BenefitsThe GRK spring assist option provides all the benefits of the standard GRK with the following additional benefits:• Provides a mechanical method to retain part in case ofpressure loss.• Increases gripping force.• Provide single acting gripping actuation.2X � K7NOTES:1)ALL DIMENSIONS ARE REFERENCE ONLY UNLESS SPECIFICALLY TOLERANCED 2)METRIC INFORMATION SHOWN IN [ ]3)CIRCLED NUMBERS INDICATE POSITIONSWARNING:The spring assist option maintains a minimum gripping force if air pressure is reduced or lost. The FSR option acts as a closing force, and the FSE option acts as an opening force. The spring assist option also provides single acting actuation of the gripper and increases grip force in a specific direction when used with air pressure. Working pressure for spring assist units is 66 psi min. to 90 psi max. [4.6 bar min. to 6. bar max.]. For spring grip forces, see table on page 6.1NOTES:1)DESIGNATED C IS CENTERLINE OF UNIT 2)ALL DIMENSIONS ARE REFERENCE ONLY UNLESS SPECIFICALLY TOLERANCED 3)CIRCLED NUMBERS INDICATE POSITIONS 4)*I.D. x CROSS-SECTIONL8 mm THREADED INDUCTIVE PROXIMITY SWITCH READY WITH ONE SWITCH MOUNTING BRACKET1)DESIGNATED C IS CENTERLINE OF UNIT 2)ALL DIMENSIONS ARE REFERENCE ONLY UNLESS SPECIFICALLY TOLERANCED 3)CIRCLED NUMBERS INDICATE POSITIONSLWith this option the gripper includes a target extending from the front of the gripper along with one or two mm threaded inductive proximity switch mounting brackets.NOTE: Inductive proximity switches are shown for reference only. Switches are not included with this option. See Series 514 switches on page 14.8 mm THREADED INDUCTIVE PROXIMITY SWITCH READY WITH TWO SWITCH MOUNTING BRACKETSCB2 SHOWN7575 2.95326 1.024MAGNETIC SWITCHES8 mm THREADED INDUCTIVE PROXIMITY SWITCHESTOTAL JAW TRAVEL = OPEN POSITION - CLOSED POSITIONshould be checked with the fluid manufacturer for proper application.The switches perform best when gripping part(s) in the “Optimal Part Detection Range” which is the middle area of the jaw travel. As the position to be sensed moves nearer to either end of jaw travel (area “B”) the switching point accuracy will decrease.Once the first position is taught, the jaws must travel a “minimum distance” before the second position can be taught.This minimum distance equals the Minimum Difference in Part Size that can be detected based on total jaw travel. See Travel Distance Chart for these distances as it pertains to the model of GRK gripper you will be using.NOTE: Minimum Difference in Part Size can fall anywhere within the Optimal Part Detection Range.When one taught position is full open or full closed, then each jaw must travel “B” distance before the next point can be taught.Use this data in applying the Series JC1ST Teachable GRK SHORT TRAVELSWITCHES WITH SERIES GRKThis switch provides the ability to identify two separately programmable jaw positions with a single switch. Programmable capability means no “fine-tuning.” With switch properly aligned, just place jaws in desired position and program. Solid-state sensing technology provides a highly reliable switch. Elliptical housing allows for easy “drop-in” installation. Includes LED indicators forconvenient means of positioning and programming. Available with cable or mm threaded Quick Connect.SERIES JC1ST TWO POSITION TEACHABLE MAGNETIC SWITCH167.5M-I 1/10 009PHD, Inc.9009 Clubridge DriveP .O. Box 9070, Fort Wayne, Indiana 46899 U.S.A.Phone (260) 747-6151 • Fax (260) •******************PHDinEurope GmbH Arnold-Sommerfeld-Ring 252499 Baesweiler, GermanyTel. +49 (0)2401 805 230 • Fax +49 (0)2401 805 232•*******************This switch provides the ability to identify a single jawposition. Solid-state sensing technology provides a highly reliable switch. Elliptical housing allows for easy “drop-in” installation. Includes LED indicator for convenient means of positioning. Available with PNP or NPN output. Available with cable or mm threaded Quick Connect.SERIES JC1SD MAGNETIC SWITCHBELOW SURFACE OF GRIPPER)JC1SDx-5JC1SDx-K (Quick Connect)。

英国A-level数学教材内容汇总

英国A-level数学教材内容汇总

A-Leve l数学(Mathe matl cs)由四亍郃分姐成.换业数学・C ore Mathe matlcs h 力学数学t M ech an les Mathemati csx 轨计數H (Stali^tl cs Mathematitsy 决第數学Decision M ath&mati c& □选择学耳数学(Mathematics)^生,際了孩心数学心时Mathemahcs:^必修的基础数学之尔学生还需^据自己将来的犬学报读若业选择茸中T磯学『力Mechanics Mathematics},统计数学:Statistics f.fathemstics}.决董数学Decision Mathematics]・50将采读工程删]字主.可追力学数学谢xhanlcs);读社会科学觀金融经桥类的.可选:比计數字(Slatistlcs):僂计算机嗽件类的.町选: 决策数韋Decision Maltieinalics^Core Mathematicsl (AS/A2) ------ 核心数学11. Algebra and fun ctio ns --- 代数和函数2. Quadratic functions ----- 二次函数3. Equati ons and in equalities --- 等式和不等式4. Sketchi ng curves ----- 画图(草图)5. Coordinate geometry in the (x, y) plane--------- 平面坐标系中的坐标几何6. Seque nces and series——数歹U7. Differe ntiation ------ 微分8. In tegrati on --- 积分Core Mathematics2 (AS/A2) ----- 核心数学21. Algebra and fun ctio ns --- 代数和函数2. The sine and cos ine rule ---- 正弦和余弦定理3. Expo nen tials and logarithm ----- 指数和对数4. Coordinate geometry in the (x, y) plane--------- 平面坐标系中的坐标几何5. The bi no mial expa nsion --- 二项展开式6. Radia n measure and its applicati on --- 弧度制及其应用7. Geometric seque nces and series ---- 等比数歹U8. Graphs of trig ono metric functions ----- 三角函数的图形9. Differe ntiation ------ 微分10. Trigonometric identities and simple equations ------ 三角恒等式和简单的三角等式11. I ntegration ---- 积分Core Mathematics3 (AS/A2) ----- 核心数学31. Algebra fractio ns ------ 分式代数2. Functions ------ 函数3. The expo nen tial and log fun ctio ns --- 指数函数和对数函数4. Numerical method ----- 数值法5. Tran sform ing graph of functions ---- 函数的图形变换6. Trigon ometry ------- 三角7. Further trig ono metric and their applicati ons ---- 高级三角恒等式及其应用8. Differe ntiation ------ 微分Core Mathematics4 (AS/A2) ----- 核心数学41. Partial fractio ns ---- 部分分式2. Coordinate geometry in the (x, y) plane--------- 平面坐标系中的坐标几何3. The bi no mial expa nsion --- 二项展开式4. Differe ntiation ------ 微分5. Vectors ----- 向量6. In tegrati on --- 积分A-Level :核心数学 Core Maths ,力学数学,统计数学,决策数学 1 2 3 4 5 6 7oio14 14 1520 24 252b3S丽48b4Core Mathematics1 (AS/A2 ) ----- 核心数学 1 8. In tegrati on ------ 积分 每章内容:SketclSketching < \4.1 4.2 4.3 4.44.5Quadratic functions 2A2.2 2.3 2.4 2.5 2.6 1 Algebra and futictlons1.1 1.2 L3 1用 IS L6 L7 L8 Summary of key poinisPlotting the s^phs of Solvingquadratic eqi 】“ 沪 巧 Completingthe: Solving quddratiuSolving quadrate t ions by “Sketching Z> JSummary of kfy 尸為Equations 匚 M Solving sinSolving simultaneob.Using substISolving linGi 『 in 何亦It 華& Solving quadratic^^^ii^sj.jtions by elimination 屈tion* by substitutinn f equation Is linear and the other is quadraticSimplifying an expression by collecting like termsThe laws Qf indicesExpanding an expression Factorhing an expressionFactorising a quadr^k expressionThv las\s of indices for dll rational exponents The use and nianipulation of it rdsRationalising the iknonnridtor of a fraction ivhen 才二dw: XCxsE by ractor i sa ti映>;肯『 c equtijLArby comgTfctjng th 」square .' 'J u iht^m uh Quadratic formulae ; ^ncc^is liiKar rq 3.13.2 33 3J 3.5Suiiunary of 匕叮心疋试he 护ph$ of cubic functions Interpr^lW^yaphs nf cubk fuiKtioiuSketch inutile reciprocal function JK ■ttivinicr sect ion points of o[ functions to solv< equations of the triinsfbr mat ions f(x + ⑷ dnd 冃工-川 舉effect of the transforiiiations fiux) and'Fftrfotming transformations on the sketches of curves詁ry of key pointsAlgebra and fun ctio ns ----- 代数和函数 Quadratic functions ----- 二次函数Equati ons and in equalities --- 等式和不等式 Sketchi ng curves --- 画图(草图)Coordinate geometry in the (x , y ) plane -------- 平面坐标系中的坐标几何 Seque nces and series ——数列Differe ntiation ------ 微分5 Coordinate geonwtry in the (x9 y) plane 6S5.1 The equation of a straight line in the form y = nix + c or ax + 如 + c = 0 655.2 The gradient of a straight line 605.3 The equation of a straight line of the form y - y严ifi(x - 心) 7&5.4 The formula for finding the equation of a straight line5.5 The conditions for two straight lines to be parallel or perpendicular ' 75Summary of key points6 Sequences and series6.1 Introduction to sequences6.2 The nth term of a sequence 0 836.3 Sequences generated by a recurrence relationship i \ // ()856.4 Arithmetic sequences 二886.5 Arithmetic series \C/^ \ °°6.6 The sum to n of an arithmetic series 936.7 Using X notation 」97Summary of key points ' 〃丿) 101 7 Differentiation (//. 1027」The derivative of f(x) as the thiCpn^kto tft^ graph y = f(x) 102105109113114115116117121122122124125126128130Core Mathematics2 (AS/A2 ) 核心数学 21. Algebra and fun ctio ns ---- 代数和函数2. The sine and cos ine rule ---- 正弦和余弦定理3. Expo nen tials and logarithm ---- 指数和对数4. Coordinate geometry in the (x , y ) plane -------- 平面坐标系中的坐标几何5. The bi no mial expa nsion --- 二项展开式6. Radia n measure and its applicati on --- 弧度制及其应用7. Geometric seque nces and series --- 等比数歹 U8. Graphs of trig ono metric functions ---- 三角函数的图形9. Differe ntiation ------ 微分 10. Trigonometric identities and simple equations ------ 三角恒等式和简单的三角等式 11. I ntegration ---- 积分 每章内容: Aigcbrj dEid luiKtions 1J1.2 13 1.4 Simplifying algebraic fractions by division Dividing apolynomial by (x i p)Factorising a polynomial using the Factor TheoremUsing the Remainder Theorem Summary of k (?y pointsThe sint : and cosine ruleUsing the sine rule to find missing sides Using the sine nde find unF^wn angles The rule andfinding two w* Using the cosine ruEc ia Fin# Using the cosine rule tc a Using the sine tl «Calculaikng the area 2A 2.2 23 2.4 2.5 2.6 2.7 f or a nih^F Eo切 Mck ssing an^ic^ L . ■ #4RI le 3 nr< !'『 庶耳竝遁 Theo re mot^Jy^ngle us)闵jExponctuiah an<r^ogaMh * 3J王2 玉33.43.5 3.6Summary of key pointsCk Coordinate in the (x, y\ plant4.1 The 4.2 The ciiibi Suniinjjy of key polrt 115 10 131718 18 21 23 24 27 30 32 36 37 37 39 4() 41 43 45 4ti 49 49 57 60 68 70 70 72 73 75 79tnsTh<bfunctk 严 Writing ns as a Calculating *丄耳 to Laws of JogarithmS Solvi ng equations 汐 a' - b Changing the mt ni ot A line M 峥曲亡two points on a line 4*3 The equatitJiiif a circle Summiiry of fr r/ points iriomTal expansion s triangle X Combinntions and factorialUsing (:) m the binomial expansion5-4 Expanding (d + bxY r using the binomial expansion Summary of key point*11o Kaaian measure ana its applications Using radians to measure angles The length ofthe arc of a circle The area of a sector of a circle The area of a segment of a circle Geometric sequences Geometric progressions and the nth term Usinggeometric sequences to solve problems The sum of a geometric seriesThe sum to infinity of a geometric series Graphs of trigonometric functionsSine, cosine andtangent(unctionsThe values of trigonomef/ functions in the Exact values and surds f Graphs of sine 0f cos J J 、 Simple transformants oDifferentiation9.1 Increasing s ・9.2 Stationarymaximun 、, minipjum and points of inflexion 9.3Using f^rninjf points to Summar 1 “ 亠 inisTrigonom^/ Jidentitie】0.161 6.2 6.3 6.4Summary of key pointsGeometric sequences and series 7.1 7.2 7.3 7.4 7.5Summary of key points8.1 8.2 8.3 8.4 &5Summary of key poE ;' le equations titles ometrical equations e formsin(nd + a), cos(n0 + a) and tan(n0 + a) = k ig?nometrical equationsSimple trigoSolving simj SolvingeqySolving qudIntegratio11.1 11.2 11.3 Are n.4 94 94 9598 100 103 109 110 110 114 117 118 121 127 141 141 146 149 151 156157 157 159 161 164 169 17710129 129 131135 1406 93 ms10.210.310.4Summary ote integrationa curvea curve that gives negative values n a straight line and a curve rapezium Rule of key points11Core Mathematics3 (AS/A2 ) 核心数学 31 2 3 4 5 6 7 8101Ki.S1 12每章内容:7.5 i'hc racloi tbrinuiai'Alxvbrdit Iriiciions1.1 1.2 1.3I'rigonomctry64 6.2AjipJying a corn^ixiatj Sketching trar^8 Differentiation8.1 B.2 8.3 K 4 8.58.68.71281301311322 E r unctioi-i^2,1 2.2 2-3 2.4 2.5Differentiating ti&ing the chain rule Differ ent tatlng using the product rult Differs nt latL ng using the quotient rukr I if fere nt iat j ng the exponential function Finding the differential of the logarithmic function. _Differentiating 5in x(C~Di fferenti ati ng cos xDifferent is tin^ t^n xDifferenliatkng further trigonometrLcaJ functions[differentiating functians formed by combining frigon 九丁贰#乎卜 cxprtncniiaL logfkritl-imLc and polynomial fLinctior^ ;Simplify algebraic fractions by LUI 1{.C IL UI ^ 口 Multiply dix jdici^frjLiujii->Adding and subtracting algvbrd k frautionsI nx alxvbriiit fr*ittic.jri^ jind tiir rcn )i»iii<lvr Ltit.-c.i^int <ln y 4-cn U>iTi 耳$ [JCX JJ€»TLOkl t k J I fLIIlC'Floriiir^^of <> gr^jj^/ica11 y 「_ ___2 =」cth^Js^lcrlind approximate root 萤 of 陶仟彳Tran 露Fermi 订呂 graf^/of fui^ctiini^5-1 Sketch! tig graphs ot 1^hhockx!^^ 4^u net ion y 一 lf(x)l 5u2 Sketching g^r^phs y = f(lxl) (A p olvin^a mcxluliis mictions to sketch erv«?« 什fih 订花JJ CFIM H 11 台 Mlielling lhe co-ordinates ofgiven H, cosecant 仇 and cotaingEfU 丹 f ^tant 也 cosecant 优 and cotangent 甘 xpressicmsj proving iclentiti^ iind solving equations, usingMapping diingrarns and 耳of opaeiiitions ( JFunc-tions <irid functioii notatk>tiRange, mapping diagrams,, graphs and definitionsJUsing composite functions #*f 丿Finding and using inverse-The exponential and log f u net ion s°3/1 Introdticing exponent ial ・ rtions of lhe I'omCj^ . h 心 3・立 Graphs of exponential旷卞:」^ 前m 扌匸卩 存占;逆"二tlxfn 琴, 严U^irig 护 ^Eidinwu b©■—主亠二亠亠」一■■Numerical method? ” 4.1 Finding approx if 4.2 U^ing ilerati algebraic iiicthi l ^irs'lw^nnd approximate rt>ots The fijnr/Q?6?/I TieSimplifying £ sec 他 cowO?R and cot Hidcnlitles l 十 lan 2^ = $2H and 1 + cot-^ = cosec 2IJs.iriglmerse trigcinometricai Uinclions and their graphs7 ..Further tngimonietrk identities and theif applies HonsSt/LMrig addition trigoiionietrical lormulac二Using double an^lc trigoiiDmctrical farmulae7?T Solving equdtiom and proving Idcntltiics using doubk iirigle foniiuLie ^^7 4 Usin^ the fonii a cos b sin B lin striving trigonotnetrical piobiennAlgebra fractions ------ 分式代数 Functions ----- 函数Transforming graph of functions -------函数的图形变换 Trigonometry ----- 三角Further trigonometric and their applications ------ 高级三角恒等式及其应用 Differentiation ------ 微分The exponential and log functions Numerical method ------ 数值法指数函数和对数函数Core Mathematics3 (AS/A2 ) 核心数学4Core Mathematics3 (AS/A2 ) 核心数学 51 2 3 4 556 vector37074 11B4 2110ft6J1111126139 SI6264 fi2 «2 AIXJUL L l||\ ULHJK2A3.2 33 Exam style paperFormulae you need to know List of symbols and notation AnswersIndexof two vectors n of a straightAdding and subtracting algehraic fractionsPartial fractions with two linear factors in the denominatorPartial fractions with ttnee or mor^ linear factors in th<? denominator Partial tract ions with repeated linear factors in the denominator Improper fractions into partial fractions1 Partial fractions L:y 1 ■jitrgrating £t^ndard Junctions Integrating using the reverse chain rule Using trigonometric identities in integrationUsing partial fractions to Integrate expressionsUsing standard patterns to integrdle expre^iorr liitvgraUon by subtjtiti.ition Integration by parts Numericalintegration Integration to find ateas and volumes 1Using integration to solvedifferential equations Difkrtntiai rquatjom in context2 Cootdinate geometry in the (x, y) 2」Parametric equations used toParametric equations used to dtiine the uxirdin^tes ot a Using paranictrkequ 訓 UKndinate 驴oimtr* Converting paramet^. jitions into cartesian 世qiut 档才 Finding the itrea ^iidche airve given by pannr 严旷 ^quations3 Fhe binomial ex3,i UMII^ VtXUMl IU UtSUilW J-^JJJLS I ;In 2 or 3 dimensions 二,二二 55Cartesian toniponeidi Gf a \yytor in 2dimensionsCartesian components ol in 3 dimensio%7^; Extending 2 /悸幺?冲results io ]he seal;| The vect*[nUT^clrnjfetraighi line vector 戸理逖石kFx linesJo between two straight Using partial fracti>#w$ Kjtw tiiv ■binamiai expanjy^f \、 Different la Uon4.1 Differentki(I nti ;ons givenpararnetricaifrf/4 2 Diffenyitiating^uationwhich arc implicitO43 Diffett»y^a!ing the function a 1 4.4{垃 tSftitiibn and rates of change4.5 唏蛙少他rtrntjai equations 5 VecS^ ?<^54,Ve?tor d^fmitipns 4nd vector ^^iiAgrams r 、§,2 Vector arithmetic and the unit vectorThe binomial expulsion a - positive integral index Using the binomidexpand + l^x)"\ j ' 6. In tegrati on ------ 积分 每章内容:The bi no mial expa nsion --- 二项展开式 Differe ntiation ------微分 Vectors ----- 向量Partial fractio ns ---- 部分分式 Coordin ate geometry in the ( x , y ) pla ne 平面坐标系中的坐标几何。

Festo HGPL平行手爪介绍说明书

Festo HGPL平行手爪介绍说明书

Parallel grippers HGPL, heavy-duty with long strokeKey features At a glanceSpace-saving and suitable for high forces–Two parallel and opposingpistons move the gripper jawsdirectly and without loss of force Reliable–A pinion that synchronises themovement of both gripper jawsensures controlled, precise andcentred gripping–The space-saving design of theparallel gripper jaws permits along guide length for the gripperjaws Sturdy–The T-slot in combination witha long guide length allows thegripper jaws to withstand highforces and torquesFlexible range of applications–Double-acting gripper suitablefor external and internal gripping –Versatile mounting options andcompressed air connections–Opening stroke can be adjustedto optimise time-H-Note Sizing software for gripper selection è 1Gripper jaw2Synchronising element3Piston with magnet4Moment compensatorWide range of supply ports Mounting optionsDirect Via adapter plate Direct mountingfrom the front from underneath from above from underneath1Supply ports2Centring sleeves3O-rings1Mounting screws2Centring sleeves-H-NoteThese grippers are not suitable forthe following or similar applicationexamples:Aggressive mediaMachiningWelding splashesSubject to change – 2018/05 2è Internet: /catalog/...2018/05 – Subject to change 3è Internet: /catalog/...Peripherals overview and type codes Peripherals overviewSystem product for handling and assembly technologyAccessoriesType Size Descriptionè Page/Internet 1Centring sleeve ZBH14 … 63 For centring gripper jaw blanks/gripper fingers on the gripper jaws 4 included in the scope of delivery 172Proximity sensor SME/SMT-1014 … 40 For sensing the piston position 18Proximity sensor SME/SMT-863 For sensing the piston position 3Position transmitter SME/SMT-863 For sensing the piston position184Push-in fitting QS14 … 63For connecting compressed air tubing with standard O.D.qs 5Blanking plug B14 … 63For sealing supply ports when using ports at the front 176Centring sleeve ZBH14 … 63 For centring the gripper during mounting 2 included in the scope of delivery 177Stroke reducing kit HGPL-HR-...14 … 63For reducing the opening stroke 168Adapter kitDHAA, HMSV, HMVA, HAPG 14 … 63Drive/gripper connections13–Gripper jaw blank BUB-HGPL14 (63)Blank specially matched to the gripper jaws for custom production of gripper fingersLEERER MERKERType codesHGPL—14—40—AType HGPL Parallel gripperSize Stroke [mm]Position sensing AVia proximity sensorSubject to change – 2018/054è Internet: /catalog/...Technical data Function Double-acting HGPL-…-A-N-Size14 … 63 mm -T-Stroke40 … 300 mm-W- Wearing parts kits èpage 12General technical data Size 14254063DesignSynchronised pneumatic pistons Force-guided motion sequence Mode of operationDouble-acting T-shape Gripper functionParallel Number of gripper jaws 2Stroke per gripper jaw [mm]20, 40, 60, 8020, 40, 60, 8020, 40, 60, 80, 10060, 100, 150Pneumatic connectionM5G1/8Max. load per external gripper finger 1)[g]80250420940Repetition accuracy 2)[mm]< 0.03Max. interchangeability [mm]< 0.2Max. operating frequency [Hz]< 1Rotational symmetry [mm]< ∅ 0.2Position sensing Via proximity sensor –Position transmitterType of mounting Via through-holes and centring sleeves Via female thread and centring sleeves Mounting positionAny1)Valid for unthrottled operation2)End-position drift under constant conditions of use with 100 consecutive strokes in the direction of movement of the gripper jawsOperating and environmental conditions Operating pressure [bar]3 (8)Operating mediumCompressed air in accordance with ISO 8573­1:2010 [7:4:4]Note on operating/pilot medium Operation with lubricated medium possible (in which case lubricated operation will always be required)Ambient temperature 1)[°C]+5 … +60Corrosion resistance class CRC 2)21)Note operating range of proximity sensors2)Corrosion resistance class CRC 2 to Festo standard FN 940070Moderate corrosion stress. Indoor applications in which condensation may occur. External visible parts with primarily decorative requirements for the surface and which are in direct contact with the ambient atmo­sphere typical for industrial applications.Weight [g]Size14254063Stroke per gripper jaw20 mm 3051015 2560 –40 mm 4401400 3300 –60 mm 5951780 4165 10460 80 mm 7202200 4800 –100 mm ––5340 13800 150 mm–––181002018/05 – Subject to change 5è Internet: /catalog/...Technical data Materials Sectional viewParallel gripper 1Gripper jaw Steel, nitrided 2Piston High-alloy steel3Housing Wrought aluminium alloy, hard-anodised –SealsNitrile rubber, polyurethane –Note on materialsFree of copper and PTFE RoHS-compliantMeasured gripping force [N] at 6 bar (èalso see graphs starting on page 7)Size14254063Gripping force per gripper jaw Opening 632065191233 Closing792566081371Total gripping force Opening 1264121038 2466 Closing1585121216 2742Characteristic load values at the gripper jawsThe indicated permissible forces and torques apply to a single gripper jaw.They include the lever arm, additional applied loads due to the workpiece or external gripper fingers and acceleration forces occurring during movement. The zero coordinate line (guide groove of the gripper jaws)must be taken into consideration for the calculation of torques.Size14254063Max. permissible force F z [N]5001500 2500 9000 Max. permissible torque M x [Nm]35100125300Max. permissible torque M y [Nm]356080200Max. permissible torque M z[Nm]3570100250Technical dataMass moment of inertia [kgm2x10-4]Mass moment of inertia of the parallelgripper in relation to the central axis,without external gripper fingers,without load.Size14254063 Stroke per gripper jaw20 mm 1.4011.9827.60–40 mm 6.6918.8866.83–60 mm11.4339.95118.30470.0780 mm21.9378.70198.87–100 mm––318.251018.17150 mm–––2247.54Opening and closing times [ms] at 6 barWithout external gripper fingersWith external gripper fingersThe indicated opening and closingtimes [ms] were measured at roomtemperature at an operating pressureof 6 bar with horizontally mountedgrippers without additional gripperfingers. The grippers must be throttledfor greater loads [g]. Opening andclosing times must then be adjustedaccordingly.Size14254063Stroke mm20406080204060802040608010060100150 Without external gripper fingersOpening times1201712702861702253704231902384304146204106501020 Closing times110163230270150230370418180205430438690330600850 Max. permissible opening and closing times with external gripper fingers (as a function of the load per gripper finger)Load of the gripper fingers100 g123108257243––––––––––––200 g174136364343––––––––––––300 g213167445420164210405401––––––––400 g246192514485190243468463––––––––500 g––––212272523518196260469478676–––600 g––––––––215284514524741–––700 g––––––––232307555565800–––800 g––––––––248328593604856–––900 g–––––––––––––3235878321000 g–––––––––––––3406198771100 g–––––––––––––3576499191200 g–––––––––––––373678960Subject to change – 2018/05 6è Internet: /catalog/...2018/05 – Subject to change 7è Internet: /catalog/...Technical dataGripping force F h per gripper jaw as a function of operating pressure and lever arm x The gripping forces as a function of operating pressure and lever arm can be determined from the followinggraphs.Gripping force F h per gripper jaw as a function of operating pressure and lever arm x External gripping (closing)HGPL-14HGPL-25HGPL-40HGPL-633 bar 6 bar8 barSubject to change – 2018/058è Internet: /catalog/...Technical dataGripping force F h per gripper jaw as a function of operating pressure and lever arm x Internal gripping (opening)HGPL-14HGPL-25HGPL-40HGPL-633 bar 6 bar8 bar2018/05 – Subject to change 9è Internet: /catalog/...Technical dataGripping force F h per gripper jaw at 6 bar as a function of lever arm x and eccentricity a and b The following formula must be used to calculate the lever arm x with eccentric gripping:The gripping force F h can be read from the graphs (è page 7) using the calculated value x.x +a 2)b 2ǸCalculation example Given:Distance a = 45 mm Distance b = 40 mm To be calculated:The gripping force at 6 bar,with an HGPL-25,used as an external gripperProcedure:Calculating the lever arm x x = 60 mmx +452)402ǸThe graph (è page 7) shows a value of F h= 225 N for the gripping force.Technical data10è Internet: /catalog/...Subject to change – 2018/052018/05 – Subject to change 11è Internet: /catalog/...Technical data TypeB1±0.05B2±0.1B3±0.1B6±0.01D1D2∅+0.1D3∅H8/h7D4D5∅H8/h7D8∅H13D9D10EEE1HGPL-144834.53722M5 4.25M397.46M3M5M3HGPL-2580606538M6 5.17M59108M5M5M5HGPL-40106708750M108.59M615158M6M5M5HGPL-6315411613078M1210.415M81516.515M10G1/8G1/8TypeH1H2±0.1H3±0.1H4–0.3H5–0.3H6±0.1H7±0.1H8±0.1H9±0.1L1±0.1L2±0.021)±0.12)L3±0.021)±0.12)L4±0.5HGPL-14-20302911 1.9 1.2–10121873.6–3662HGPL-14-40113.660102HGPL-14-60153.6100142HGPL-14-80193.6182HGPL-25-20504918 1.9 1.4–18203086–6064HGPL-25-40126104HGPL-25-60166100144HGPL-25-80206184HGPL-40-208078.56 2.9 1.94617.54050.596–6670HGPL-40-40136100110HGPL-40-60176150HGPL-40-80216180190HGPL-40-100256200230HGPL-63-60121.512014 2.9 2.960305874.8190.8–100160HGPL-63-100270.8200240HGPL-63-150370.8300340TypeL5±0.5L7±0.1L8±0.1L9±0.2L10±0.021)±0.12)L11±0.5L12±0.1T1min.T2+0.1T3+0.1T4min.T5min.T7+0.1T9HGPL-14-202241416.88916.812.5 1.3 2.1 5.5 6.5101HGPL-14-40HGPL-14-60HGPL-14-80HGPL-25-20241114201017.52012.5 1.6 2.18.57171HGPL-25-40HGPL-25-60HGPL-25-80HGPL-40-20301332–1520.5–15.52.13.110.58301HGPL-40-4021HGPL-40-60HGPL-40-80HGPL-40-100HGPL-63-604028.530–2229–18 3.1 3.117.58451HGPL-63-100HGPL-63-1501)For centring 2)For through-holeTechnical dataOrdering dataSize Stroke Double-acting without compression spring[mm][mm]Part No.Type1420567820HGPL-14-20-A40535852HGPL-14-40-A60567821HGPL-14-60-A80535853HGPL-14-80-A2520567822HGPL-25-20-A40535854HGPL-25-40-A60567823HGPL-25-60-A80535855HGPL-25-80-A4020567824HGPL-40-20-A40535856HGPL-40-40-A60567825HGPL-40-60-A80535857HGPL-40-80-A100567826HGPL-40-100-A6360567827HGPL-63-60-A100567828HGPL-63-100-A150567829HGPL-63-150-AOrdering data – Sets of wearing partsSize[mm]Part No.Type14701585HGPL-14-A25701586HGPL-25-A40701587HGPL-40-A63752917HGPL-63-A12è Internet: /catalog/...Subject to change – 2018/05AccessoriesAdapter kitDHAA, HAPG, HMSV, HMVA Material:Wrought aluminium alloyFree of copper and PTFERoHS-compliant-H-NoteThe kit includes the individualmounting interface as well as thenecessary mounting material.1)Corrosion resistance class CRC 2 to Festo standard FN 940070Moderate corrosion stress. Indoor applications in which condensation may occur. External visible parts with primarily decorative requirements for the surface and which are in direct contact with the ambient atmo­sphere typical for industrial applications.2018/05 – Subject to change13è Internet: /catalog/...AccessoriesAdapter kit DHAA Material:Wrought aluminium alloyFree of copper and PTFERoHS-compliant-H-NoteThe kit includes the individualmounting interface as well as thenecessary mounting material.1)Corrosion resistance class CRC 2 to Festo standard FN 940070Moderate corrosion stress. Indoor applications in which condensation may occur. External visible parts with primarily decorative requirements for the surface and which are in direct contact with the ambient atmo­sphere typical for industrial applications.Subject to change – 2018/05 14è Internet: /catalog/...AccessoriesAdapter kit DHAA, HAPG Material:Wrought aluminium alloyFree of copper and PTFERoHS-compliant-H-NoteThe kit includes the individualmounting interface as well as thenecessary mounting material.1)Corrosion resistance class CRC 2 to Festo standard FN 940070Moderate corrosion stress. Indoor applications in which condensation may occur. External visible parts with primarily decorative requirements for the surface and which are in direct contact with the ambient atmo­sphere typical for industrial applications.2018/05 – Subject to change15è Internet: /catalog/...AccessoriesDimensions and ordering dataFor size [mm]B1±0.1D1D2H1±0.1H2±0.1H3±0.1H4±0.1H5±0.1149M6M327.523.517.59.512 2512M8M547.537.529.517.520 4018M12M67763501740 6319M14M8118.594.574.529.558For size [mm]L1±1L2±0.1L3±0.1L4±0.1ß1ß2Weight[g]Part No.Type146145371110345539092HGPL-HR-14 2561776519134150539093HGPL-HR-25 40611038725196455539094HGPL-HR-40 6381151130392261060 567831HGPL-HR-63Subject to change – 2018/05 16è Internet: /catalog/...2018/05 – Subject to change 17è Internet: /catalog/...AccessoriesGripper jaw blank BUB-HGPL (scope of delivery: 2 pieces)Material:AluminiumFree of copper and PTFEDimensions and ordering data For size B1B2B3D1D2H1H2∅∅[mm]±0.1+0.02+0.1H8±0.1142584 3.2580112535108 5.371201********* 6.49150186368221210.51520020For size L1L2L3T1Weight per blank Part No.Type[mm]±0.1+0.1+0.1+0.1[g]1420.58 3.3 1.375537316BUB-HGPL-142536125 1.6295537317BUB-HGPL-254049.516.58 2.1720537318BUB-HGPL-40637727123.11960567830BUB-HGPL-631)Packaging unitAccessoriesProximity sensors for size 14 (40)Proximity sensors for size 6318è Internet: /catalog/...Subject to change – 2018/052018/05 – Subject to change 19è Internet: /catalog/...AccessoriesProximity sensors for size 63Position transmitterThe position transmitter continuously senses the position of the piston.It has an analogue output with an out­put signal in proportion to the piston position.Festo - Your Partner in AutomationConnect with us/socialmedia 1Festo Inc.2Festo Pneumatic 3Festo Corporation 4Regional Service Center 5300 Explorer DriveMississauga, ON L4W 5G4CanadaAv. Ceylán 3,Col. Tequesquináhuac 54020 Tlalnepantla, Estado de México1377 Motor Parkway Suite 310Islandia, NY 117497777 Columbia Road Mason, OH 45040Festo Customer Interaction CenterTel:187****3786Fax:187****3786Email:*****************************Multinational Contact Center 01 800 337 8669***********************Festo Customer Interaction Center180****3786180****3786*****************************S u b j e c t t o c h a n g e。

P41

P41

UNIVERSITY OF CAMBRIDGE INTERNATIONAL EXAMINATIONSGeneral Certificate of Education Advanced Level*7303645500*PHYSICS9702/41Paper 4 A2 Structured Questions May/June 20101 hour 45 minutesCandidates answer on the Question Paper.No Additional Materials are required.READ THESE INSTRUCTIONS FIRSTWrite your Centre number, candidate number and name on all the work you hand in.Write in dark blue or black pen.Y ou may use a soft pencil for any diagrams, graphs or rough working.Do not use staples, paper clips, highlighters, glue or correction fluid.DO NOT WRITE IN ANY BARCODES.Answer all questions.Y ou may lose marks if you do not show your working or if you do not use appropriate units.At the end of the examination, fasten all your work securely together.The number of marks is given in brackets [ ] at the end of each question or part question.For Examiner’s Use 1 2 3 4 5 6 7 8 9101112TotalDataspeed of light in free space, c = 3.00 × 108m s–1 permeability of free space, μ0= 4π × 10–7H m–1 permittivity of free space, ε0= 8.85 × 10–12F m–1 elementary charge, e = 1.60 × 10–19 Cthe Planck constant, h = 6.63 × 10–34J s unified atomic mass constant, u = 1.66 × 10–27 kg= 9.11 × 10–31 kgrest mass of electron, me= 1.67 × 10–27 kgrest mass of proton, mpmolar gas constant, R = 8.31 J K–1 mol–1= 6.02 × 1023 mol–1the Avogadro constant, NAthe Boltzmann constant, k = 1.38 × 10–23J K–1 gravitational constant, G = 6.67 × 10–11N m2 kg–2 acceleration of free fall, g = 9.81 m s–2© UCLES 20109702/41/M/J/109702/41/M/J/10© UCLES 2010[Turn overFormulaeuniformly accelerated motion, s = ut + at 2v 2 = u 2 + 2as work done on/by a gas, W = p ⌬Vgravitational potential, φ = – Gmrhydrostatic pressure, p = ρgh pressure of an ideal gas, p =Nm V<c 2>simple harmonic motion, a = – ω2xvelocity of particle in s.h.m., v = v 0 cos ωtv = ± ω √⎯ (x 02 – x 2)electric potential, V =Q 4πε0rcapacitors in series, 1/C = 1/C 1 + 1/C 2 + . . .capacitors in parallel, C = C 1 + C 2 + . . .energy of charged capacitor, W = QV resistors in series, R = R 1 + R 2 + . . .resistors in parallel, 1/R = 1/R 1 + 1/R 2 + . . .alternating current/voltage, x = x 0 sin ωt radioactive decay, x = x 0 exp(–λt )decay constant,λ =0.693t9702/41/M/J/10© UCLES 2010For Examiner’s UseSection AAnswer all the questions in the spaces provided.1 (a) Define the radian . (2)(b) A stone of weight 3.0 N is fixed, using glue, to one end P of a rigid rod CP , as shownin Fig. 1.1.NFig. 1.1The rod is rotated about end C so that the stone moves in a vertical circle of radius 85 cm.The angular speed ω of the rod and stone is gradually increased from zero until the gluesnaps. The glue fixing the stone snaps when the tension in it is 18 N.For the position of the stone at which the glue snaps, (i) on the dotted circle of Fig. 1.1, mark with the letter S the position of the stone, [1] (ii) calculate the angular speed ω of the stone.angular speed = ................................... rad s –1 [4]9702/41/M/J/10© UCLES 2010[Turn overForExaminer’s Use2 (a) Some gas, initially at a temperature of 27.2 °C, is heated so that its temperature risesto 38.8 °C.Calculate, in kelvin, to an appropriate number of decimal places, (i) the initial temperature of the gas,initial temperature = ............................................. K [2](ii) the rise in temperature.rise in temperature = ............................................ K [1](b) The pressure p of an ideal gas is given by the expressionp = 13ρϽc 2Ͼ where ρ is the density of the gas.(i) State the meaning of the symbol Ͻc 2Ͼ................................................................................................................................... (1)(ii) Use the expression to show that the mean kinetic energy <E K > of the atoms of anideal gas is given by the expression<E K > = 32kT .Explain any symbols that you use................................................................................................................................... .................................................................................................................................. .................................................................................................................................. .................................................................................................................................. .. (4)9702/41/M/J/10© UCLES 2010For Examiner’s Use(c) Helium-4 may be assumed to behave as an ideal gas. A cylinder has a constant volume of 7.8 × 103 cm 3 and contains helium-4 gas at apressure of 2.1 × 107 Pa and at a temperature of 290 K.Calculate, for the helium gas,(i) the amount of gas,amount = ......................................... mol [2](ii) the mean kinetic energy of the atoms,mean kinetic energy = .............................................. J [2](iii) the total internal energy.internal energy = .............................................. J [3]9702/41/M/J/10© UCLES 2010[Turn overFor Examiner’s Use3 (a) State what is meant by (i) oscillations ,.................................................................................................................................. (1)(ii) free oscillations,.................................................................................................................................. (1)(iii) simple harmonic motion ................................................................................................................................... .................................................................................................................................. (2)(b) Two inclined planes RA and LA each have the same constant gradient. They meet attheir lower edges, as shown in Fig. 3.1.Fig. 3.1A small ball moves from rest down plane RA and then rises up plane LA. It then moves down plane LA and rises up plane RA to its original height. The motion repeats itself.State and explain whether the motion of the ball is simple harmonic. (2)9702/41/M/J/10© UCLES 2010For Examiner’s Use4 (a) Explain what is meant by the potential energy of a body. (2)(b) Two deuterium (21H) nuclei each have initial kinetic energy E K and are initially separatedby a large distance.The nuclei may be considered to be spheres of diameter 3.8 × 10–15 m with their massesand charges concentrated at their centres.The nuclei move from their initial positions to their final position of just touching, asillustrated in Fig. 4.1.Hinitiallykinetic energy E K21H–15 mat rest finallykinetic energy E K21Fig. 4.1(i) For the two nuclei approaching each other, calculate the total change in1. gravitational potential energy,energy = ............................................ J [3]2. electric potential energy.energy = ............................................ J [3]9702/41/M/J/10© UCLES 2010[Turn overFor Examiner’s Use(ii) Use your answers in (i) to show that the initial kinetic energy E K of each nucleusis 0.19 MeV .[2](iii) The two nuclei may rebound from each other. Suggest one other effect that couldhappen to the two nuclei if the initial kinetic energy of each nucleus is greater than that calculated in (ii)................................................................................................................................... (1)9702/41/M/J/10© UCLES 2010For Examiner’s Use5 (a) A constant current is maintained in a long straight vertical wire. A Hall probe is positioneda distance rfrom the centre of the wire, as shown in Fig. 5.1.Fig. 5.1(i) Explain why, when the Hall probe is rotated about the horizontal axis XY , the Hallvoltage varies between a maximum positive value and a maximum negative value................................................................................................................................... .................................................................................................................................. (2)(ii) The maximum Hall voltage V H is measured at different distances r . Data for V H and the corresponding values of r are shown in Fig. 5.2.V H / V r / cm0.2900.1900.1400.0970.0730.0601.01.52.03.04.05.0Fig. 5.2It is thought that V H and r are related by an expression of the formV H = krwhere k is a constant.ForExaminer’sUse1. W ithout drawing a graph, use data from Fig. 5.2 to suggest whether theexpression is valid. [2]2. A graph showing the variation with 1rof V H is plotted. State the features of the graph that suggest that the expression is valid.........................................................................................................................................................................................................................................................[1] (b) The Hall probe in (a) is now replaced with a small coil of wire connected to a sensitivevoltmeter. The coil is arranged so that its plane is normal to the magnetic field of the wire.(i) State Faraday’s law of electromagnetic induction and hence explain why thevoltmeter indicates a zero reading....................................................................................................................................................................................................................................................................................................................................................................................................... (3)(ii) State three different ways in which an e.m.f. may be induced in the coil.1. ................................................................................................................................................................................................................................................................2. ................................................................................................................................................................................................................................................................3. .............................................................................................................................. (3)For Examiner’s Use6A student is asked to design a circuit by which a direct voltage of peak value 9.0 V is obtained from a 240 V alternating supply.The student uses a transformer that may be considered to be ideal and a bridge rectifier incorporating four ideal diodes.The partially completed circuit diagram is shown in Fig. 6.1.240 V loadFig. 6.1(a) On Fig. 6.1, draw symbols for the four diodes so as to produce the polarity across theload as shown on the diagram. [2] (b) Calculate the rationumber of turns on the secondary coil number of turns on the primary coil. ratio = (3)For Examiner’s Use7Negatively-charged particles are moving through a vacuum in a parallel beam. The particles have speed v . The particles enter a region of uniform magnetic field of flux density 930 μT. Initially, theparticles are travelling at right-angles to the magnetic field. The path of a single particle is shown in Fig. 7.1.uniform magnetic field,flux density 930 μTarc of radius 7.9 cmFig. 7.1The negatively-charged particles follow a curved path of radius 7.9 cm in the magnetic field. A uniform electric field is then applied in the same region as the magnetic field. For an electricfield strength of 12 kV m –1, the particles are undeviated as they pass through the region of the fields.(a) On Fig. 7.1, mark with an arrow the direction of the electric field. [1] (b) Calculate, for the negatively-charged particles,(i) the speed v ,v = ....................................... m s –1 [3](ii) the ratio charge mass .ratio = .................................... C kg –1 [3]For Examiner’s Use8A π0 meson is a sub-atomic particle.A stationary π0 meson, which has mass 2.4 × 10–28 kg, decays to form two γ-ray photons. The nuclear equation for this decay isπ0 γ + γ. (a) Explain why the two γ-ray photons have the same energy...........................................................................................................................................................................................................................................................................................................................................................................................................................[2] (b) Determine, for each γ-ray photon,(i) the energy, in joule,energy = .............................................. J [2](ii) the wavelength, wavelength = ............................................ m [2](iii) the momentum.ForExaminer’sUsemomentum = ........................................... N s [2]For Examiner’s UseSection BAnswer all the questions in the spaces provided.9 The circuit diagram of Fig. 9.1 is an amplifier circuit incorporating an operational amplifier(op-amp).1.5Fig. 9.1(a) (i) On Fig. 9.1, mark, with the letter X, the virtual earth.[1](ii) Explain what is meant by a virtual earth ....................................................................................................................................................................................................................................................................................................................................................................................................... (3)(b) In bright sunlight, the light-dependent resistor (LDR) has resistance 200 Ω.(i) Calculate, for the LDR in bright sunlight, the voltmeter reading. reading = ............................................ V [3]For Examiner’sUse (ii) The sunlight incident on the LDR becomes less bright. State and explain the effect on the voltmeter reading of this decrease in brightness....................................................................................................................................................................................................................................................................................................................................................................................................... (3)For Examiner’s Use 10 (a) Briefly explain the principles of CT scanning. (6)For Examiner’sUse(b)A simple section through a body consists of four voxels, as illustrated in Fig. 10.1.section directionsFig. 10.1An X-ray image of the section is obtained by viewing along each of the directions shown in Fig. 10.1. The detector readings for each direction of viewing are summed to give the pattern of readings shown in Fig. 10.2.25342231Fig. 10.2For any one direction, the total of the detector readings is 16.(i) For the pattern of readings of Fig. 10.2, state the magnitude of the backgroundreading.background reading = (1)(ii) On Fig. 10.1, mark the pattern of pixels for the four-voxel section.[2]For Examiner’s Use 11 Many radio stations now broadcast on FM rather than on AM. In general, FM is broadcast atmuch higher frequencies than AM.(a) Explain what is meant by FM (frequency modulation ).....................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................................[2] (b) State two advantages and two disadvantages of FM transmissions when compared withAM transmissions.advantages of FM transmissions1. ...............................................................................................................................................................................................................................................................................2. ............................................................................................................................................................................................................................................................................... disadvantages of FM transmissions1. ...............................................................................................................................................................................................................................................................................2. ..................................................................................................................................... (4)Examiner’sUseCalculate the power of the signal received by the satellite.(a)power = .......................................... W [3](b)The signal received by the satellite is amplified and transmitted back to Earth.(i) Suggest a frequency for the signal that is sent back to Earth.frequency = ...................................... GHz [1] (ii) Give a reason for your answer in (i)................................................................................................................................... (1)Permission to reproduce items where third-party owned material protected by copyright is included has been sought and cleared where possible. Every reasonable effort has been made by the publisher (UCLES) to trace copyright holders, but if any items requiring clearance have unwittingly been included, the publisher will be pleased to make amends at the earliest possible opportunity.University of Cambridge International Examinations is part of the Cambridge Assessment Group. Cambridge Assessment is the brand name of University of Cambridge Local Examinations Syndicate (UCLES), which is itself a department of the University of Cambridge.。

序列平行图的最小填充英文

序列平行图的最小填充英文

3
Rece ived date :Mar 11 ,2009 Founda tion item : Supported by t he Natural Science Foundation of He nan Province ( 082300460190 ) , Spo nsore d by Pro gra m f or Scie nce and Technology Innovation Talents in Univer sities of He nan Province ( 2010 HAS TIT 04 3) Biogra phy :Z HA NG Zhe n2kun , male , Han , Hena n ,a ssociate p rof essor ,maj or in graph theory and combi 2 nato rial optimization.
Key wor ds :Chordal graph ; Fill2i n num ber ;Serie s2parallel graph ;Decomposi tion t ree CL C Number :O157. 5 AM S( 2000) Subject Cla ssif ica t ion :05C78 ;90C27 Document code :A Ar t icle ID :100129847 (2010) 0120130208
1 . Intr oduction
A graph is sai d to be chordal if any cycl e wit h at least fo ur ve rtice s has a chord. The mi nim um fill2i n p roblem of a grap h G i s to find an a dded edge set F s uch t hat graph G + F i s chordal ,a nd t he number of adde d edges ,denot ed by | F| , is mi ni mized. The importance of t he problem st ems f rom it s applica tions to numerical al gebra. In many fields , s uc h as VL SI de 2 si gn ,solut io n of li near equations ,si gnal proce ssing and ot her s[3 ] ,one has to perform a Gaus si2 an eli mi nat ion on a sparse symmet ric posit ive2definit e mat rix M. Duri ng t he eli mi nation process ,zero ent ries may become nonze ros . Diff ere nt eli mi nation order s ma y int roduce differ 2 ent set s of new nonzero element s int o t he mat ri x. Therefore ,it is desi rable to fi nd an elimina 2 t ion or der such t hat a mi nim um number of zero ent ries is fi lled in wit h no nzero s. The p roble m of finding a n elimination order for mat rix M , such t hat fewes t new nonzero element s are in2 t roduced ,is equi valent to t he mi ni mum fill2i n p roblem on a grap h whose vertices cor re spond t o t he rows of M and i n w hich ( i , j) is an edge if a nd onl y if M i , j ≠ 0 .

高中数学课程描述(英文)

高中数学课程描述(英文)

Mathematics Course DescriptionMathematics course in middle school has two parts: compulsory courses and optional courses. Compulsory courses content lots of modern mathematical knowledge and conceptions, such as calculus, statistics, analytic geometry, algorithm and vector. Optional courses are chosen by students which is according their interests.Compulsory Courses:Set TheoryCourse content:This course introduces a new vocabulary and set of rules that is foundational to the mathematical discussions. Learning the basics of this all-important branch of mathematics so that students are prepared to tackle and understand the concept of mathematical functions. Students learn about how entities are grouped into sets and how to conduct various operations of sets such as unions and intersections (i.e. the algebra of sets). We conclude with a brief introduction to the relationship between functions and sets to set the stage for the next stepKey Topics:➢The language of set theory➢Set membership➢Subsets, supersets, and equality➢Set theory and functionsFunctionsCourse content:This lesson begins with talking about the role of functions and look at the concept of mapping values between domain and range. From there student spend a good deal of time looking at how to visualize various kinds of functions using graphs. This course will begin with the absolute value function and then move on to discuss both exponential and logarithmic functions. Students get an opportunity to see how these functions can be used to model various kinds of phenomena. Key Topics:➢Single-variable functions➢Two –variable functions➢Exponential function➢ Logarithmic function➢Power- functionCalculusCourse content:In the first step, the course introduces the conception of limit, derivative and differential. Then students can fully understand what is limit of number sequence and what is limit of function through some specific practices. Moreover, the method to calculate derivative is also introduced to students.Key Topics:➢Limit theory➢Derivative➢DifferentialAlgorithmCourse content:Introduce the conception of algorithm and the method to design algorithm. Then the figures of flow charts and the conception of logical structure, like sequential structure, contracture of condition and cycle structure are introduced to students. Next step students can use theknowledge of algorithm to make simple programming language, during this procedure, student also approach to grammatical rules and statements which is as similar as BASIC language.Key Topics:➢Algorithm➢Logical structure of flow chart and algorithm➢Output statement➢Input statement➢Assignment statementStatisticsCourse content:The course starts with basic knowledge of statistics, such as systematic sampling and group sampling. During the lesson students acquire the knowledge like how to estimate collectivity distribution according frequency distribution of samples, and how to compute numerical characteristics of collectivity by looking at numerical characteristics of samples. Finally, the relationship and the interdependency of two variables is introduced to make sure that students mastered in how to make scatterplot, how to calculate regression line, and what is Method of Square.Key Topics:➢Systematic sampling➢Group sampling➢Relationship between two variables➢Interdependency of two variablesBasic Trigonometry ICourse content:This course talks about the properties of triangles and looks at the relationship that exists between their internal angles and lengths of their sides. This leads to discussion of the most commonly used trigonometric functions that relate triangle properties to unit circles. This includes the sine, cosine and tangent functions. Students can use these properties and functions to solve a number of issues.Key Topics:➢Common Angles➢The polar coordinate system➢Triangles properties➢Right triangles➢The trigonometric functions➢Applications of basic trigonometryBasic Trigonometry IICourse content:This course will look at the very important inverse trig functions such as arcsin, arcos, and arctan, and see how they can be used to determine angle values. Students also learn core trig identities such as the reduction and double angle identities and use them as a means for deriving proofs. Key Topics:➢Derivative trigonometric functions➢Inverse trig functions➢Identities●Pythagorean identities●Reduction identities●Angle sum/Difference identities●Double-angle identitiesAnalytic Geometry ICourse content:This course introduces analytic geometry as the means for using functions and polynomials to mathematically represent points, lines, planes and ellipses. All of these concepts are vital in student’s mathematical development since they are used in rendering and optimization, collision detection, response and other critical areas. Students look at intersection formulas and distance formulas with respect to lines, points, planes and also briefly talk about ellipsoidal intersections. Key Topics:➢Parametric representation➢Parallel and perpendicular lines➢Intersection of two lines➢Distance from a point to a line➢Angles between linesAnalytic Geometry IICourse content:Students look at how analytic geometry plays an important role in a number of different areas of class design. Students continue intersection discussion by looking at a way to detect collision between two convex polygons. Then students can wrap things up with a look at the Lambertian Diffuse Lighting model to see how vector dot products can be used to determine the lighting and shading of points across a surface.Key Topics:➢Reflections➢Polygon/polygon intersection➢LightingSequence of NumberCourse content:This course begin with introducing several conceptions of sequence of number, such as, term, finite sequence of number, infinite sequence of number, formula of general term and recurrence formula. Then, the conception of geometric sequence and arithmetic sequence is introduced to students. Through practices and mathematical games, students gradually understand and utilize the knowledge of sequence of number, eventually students are able to solve mathematical questions.Key Topics:➢Sequence of number➢Geometric sequence➢Arithmetic sequenceInequalityThis course introduces conception of inequality as well as its properties. In the following lessons students learn the solutions and arithmetic of one-variable quadratic inequality, two variables inequality, fundamental inequality as well how to solve simple linear programming problems.Key Topics:➢Unequal relationship and Inequality➢One-variable quadratic inequality and its solution➢Two-variable inequality and linear programming➢Fundamental inequalityVector MathematicsCourse content:After an introduction to the concept of vectors, students look at how to perform various important mathematical operations on them. This includes addition and subtraction, scalar multiplication, and the all-important dot and cross products. After laying this computational foundation, students engage in games and talk about their relationship with planes and the plane representation, revisit distance calculations using vectors and see how to rotate and scale geometry using vector representations of mesh vertices.Key Topics:➢Linear combinations➢Vector representations➢Addition/ subtraction➢Scalar multiplication/ division➢The dot product➢Vector projection➢The cross productOptional CoursesMatrix ICourse content:In this course, students are introduced to the concept of a matrix like vectors, matrices and so on. In the first two lessons, student look at matrices from a purely mathematical perspective. The course talks about what matrices are and what problems they are intended to solve and then looks at various operations that can be performed using them. This includes topics like matrix addition and subtraction and multiplication by scalars or by other matrices. At the end, students can conclude this course with an overview of the concept of using matrices to solve system of linear equations.Key Topics:➢Matrix relations➢Matrix operations●Addition/subtraction●Scalar multiplication●Matrix Multiplication●Transpose●Determinant●InversePolynomialsCourse content:This course begins with an examination of the algebra of polynomials and then move on to look at the graphs for various kinds of polynomial functions. The course starts with linear interpolation using polynomials that is commonly used to draw polygons on display. From there students are asked to look at how to take complex functions that would be too costly to compute in a relatively relaxed studying environment and use polynomials to approximate the behavior of the function to produce similar results. Students can wrap things up by looking at how polynomials can be used as means for predicting the future values of variables.Key Topics:➢Polynomial algebra ( single variable)●addition/subtraction●multiplication/division➢Quadratic equations➢Graphing polynomialsLogical Terms in MathematicsCourse content:This course introduces the relationships of four kinds of statements, necessary and sufficient conditions, basic logical conjunctions, existing quantifier and universal quantifier. By learning mathematical logic terms, students can be mastered in the usage of common logical terms and can self-correct logical mistakes. At the end of this course, students can deeply understand the mathematical expression is not only accurate but also concise.Key Topics:➢Statement and its relationship➢Necessary and sufficient conditions➢Basic logical conjunctions➢Existing quantifier and universal quantifierConic Sections and EquationCourse content:By using the knowledge of coordinate method which have been taught in the lesson of linear and circle, in this lesson students learn how to set an equation according the character of conic sections. Students is able to find out the property of conic sections during establishing equations. The aim of this course is to make students understand the idea of combination of number and shape by using the method of coordinate to solve simple geometrical problems which are related to conic sections.Key Topics:➢Curve and equation➢Oval➢Hyperbola➢Parabola。

模拟退火算法

模拟退火算法
模拟退火算法 (Simulation Annealing) 及其改进
目录
搜索算法简介
模拟退火算法的原理
模拟退火算法的应用
英文文献介绍
参考文献
搜索问题
最小最优解的搜索
局部最优
除对当 前的位 置外, 对环境 无任何 感知。
全局最优
搜索算法
• 盲目搜索与启发式搜索 • 按照预定的控制策略实行搜索,在搜索过程中 获取的中间信息不用来改进控制策略,称之为 盲目搜索,反之,称为启发式搜索。 • 盲目搜索
文献讲解——问题描述
• 如图,为一个二维运输网,由供应商,直接转运设施与用 户组成,本文做出以下相关假设,约束条件方便建模。
文献讲解——算法应用
• 退火算法流程 所示如图
• 求新解的方法 1.改变货物的顺序 2.改变进入车的顺序 3.改变出去车的顺序
文献讲解——计算与结论
• 通过设置不同的参数(S/C/D/Fmax) • 文中设置了两个例子分析:单产品,单卡车模型与多产品 多卡车模型。
外文文献讲解[2]
• 文献题目:Simulated annealing approach for transportation problem of cross-docking network design • 译名:使用模拟退火方法解决运输问题中的直接转运网的 设计 • 2014年,Uludag 大学,第二届世界商业经济管理大会 • 研究背景:在产品供应链管理中,运输效率是一个重要因 素,高效的运输既满足了顾客的需求,也降低了成本。直 接转运策略降低了储存成本加速了产品流通,而直接转运 网的设计与优化是一个研究热点。 • 研究目的:设计二维的直接转运网络,设计卡车载运计划 与货物的流通路径来实现最低的运输费用。

笛卡尔积图的线性荫度

笛卡尔积图的线性荫度

笛卡尔积图的线性荫度陶昉昀;林文松【摘要】线性森林是指所有分支都是路的森林.图G的线性荫度la(G)是划分G的边集E(G)所需的线性森林的最小数目.图G和H的笛卡尔积图G□□H定义为:顶点集V(G□□H)={(u,v)|u∈V(G),v∈V(H)}.边集E(G□□H)={(u,x)(v,y)|u=v且xy∈E(H),或uv∈E(G)且x=y}.令Pm与Gm分别表示m个顶点的路和圈,Kn表示n个顶点的完全图.证明了la(Kn□□Pm)=[n+1/2](m≥2),la(Kn□□Cm)=[n+2/2]以及la(Kn□Km)=[n+m-1/2].证明过程给出了将这些图分解成线性森林的方法.进一步的线性荫度猜想对这些图类是成立的.【期刊名称】《东南大学学报(英文版)》【年(卷),期】2013(029)002【总页数】4页(P222-225)【关键词】线性森林;线性荫度;笛卡尔积【作者】陶昉昀;林文松【作者单位】东南大学数学系,南京211189;南京林业大学数学系,南京210037;东南大学数学系,南京211189【正文语种】中文【中图分类】O157.5In this paper, all the graphs are simple, finite and undirected. For a realnumber x, 「x⎤ is the least integer not less than x and ⎤x」 is the largest integer not larger than x. Let G be a graph. We use V(G), E(G) and Δ(G) to denote the vertex set, the edge set and the maximum degree of G, respectively.A linear forest is a forest whose components are paths. The linear arboricity la(G) of G defined by Harary[1] is the minimum number of linear forests needed to partition the edge set E(G) of G.Akiyama et al.[2] conjectured that la(G)=「(Δ(G)+1)/2⎤ for any regular graph G. They proved that the conjecture is true for complete graphs and graphs with Δ=3,4[2-3]. Enomoto and Péroche[4] proved that the conjecture is true for graphs with Δ=5,6,8. Guldan[5] proved that the conjecture is true for graphs with Δ=10. It is obvious that la(G)≥「Δ(G)/2⎤for every graph G and la(G)≥「(Δ(G)+1)/2⎤ for every regular graph G. So the conjecture is equivalent to the following linear arboricity conjecture (LAC)[2]. For any graph G, 「Δ(G)/2⎤≤la(G)≤「(Δ(G)+1)/2⎤.Akiyama et al.[2] determined the linear arboricity of complete bipartite graphs and trees. Martinova[6] determined the linear arboricity of the maximal outerplanar graphs. Wu et al.[7-8] proved that the LAC is true for all the planar graphs. Wu[9] also determined the linear arboricity of the series-parallel graphs. Some other researches on linear arboricity can be found in Refs.[10-12].The Cartesian product of two graphs G and H (or simply product), denoted by G□H, is defined as the graph with vertex set V(G□H)={(u,v)|u∈V(G),v∈V(H)} and edge set E(G□H)={(u,x)(v,y)|u=v and xy∈E(H), or uv∈E(G) andx=y}. Let Pm and Cm respectively, denote the path and cycle on m vertices and Kn denote the complete graph on n vertices. In this paper, we determine the linear arboricity of Kn□Pm, Kn□Cm and Kn□Km.The following lemmas are useful in our proofs.Lemma1 If H is a subgraph of G, then la(H)≤la(G).Lemma2 la(G□H)≤la(G)+la(H).Lemma 2 holds by the definition of the linear arboricity and the Cartesian product of graphs.Lemma3[2] la(Kn)=「n/2⎤.Lemma4[13] For n≥3, the complete graph Kn is decomposable into edge disjoint Hamilton cycles if and only if n is odd. For n≥2, the complete graph Kn is decomposable into edge disjoint Hamilton paths if and only if n is even.Lemma5[14] Let V(K2n)={v0,v1,…,v2n-1}. For 0≤i≤n-1, putFi=v0+iv1+iv2n-1+iv2+iv2n-2+i…vn+1+ivn+iwhere the indices of vj’s are taken modulo 2n. Then F0,F1,…,Fn-1 are disjoint Hamilton paths of K2n; i.e., K2n is decomposed into edge disjoint Hamilton paths F0,F1,…,Fn-1.1 la(Kn□Pm)Let V(Kn)={u,v0,v1,…,vn-2} and V(Pm)={y0,y1,…,ym-1}. For convenience, we denote any vertex (x,yj)∈V(Kn□Pm) by x(j). For a fixed j (j=0,1,…,m-1), we use to denote the complete graph induced by {u(j),,,…,}.The following lemma deals with the decomposition of the complete graph K2n+1.Lemma6 E(K2n+1)=nP2n+1∪Mn, where Mn is a matching of order n. Proof Let V(K2n+1)={u,v0,v1,…,v2n-1}. For 0≤i≤n-1, putFi=v0+iv1+iv2n-1+iv2+iv2n-2+i…vn+1+ivn+iwhere the indices of vj’s are taken modulo 2n. Then, by Lemma 5, the complete graph K2n+1\{u} is decomposed into n disjoint Hamilton paths: F0,F1,…,Fn-1. For 0≤i≤n-1, let ei be the n-th edge of Fi andMn={e0,e1,…,en-1}. Then ei=vi+「n/2⎤vi-「n/2⎤ for i=0,1,…,n-1 andMn={v0vn,v1vn+1,…,vn-1v2n-1}. Clearly, Mn is a matching of order n. For each 0≤i≤n-1, by deleting ei from Fi and adding two edges uvi, uvn+i to Fi, we obtain a path on 2n+1 vertices. The n paths obtained in this way together with Mn form a decomposition of K2n+1 as claimed in the lemma. Theorem1 la(Kn□Pm)= for m≥2.Proof If m=2, then la(Kn□Pm)≥ since Kn□Pm is n-regular. If m≥3, thenla(Kn□Pm)≥=, where Δ=Δ(Kn□Pm). We now prove the reverse inequality. If n is even, then la(Kn□Pm)≤la(Kn)+la(Pm)=+1= by Lemmas 2 and 3. Thus Theorem 1 holds for even n.Now suppose that n is odd. Let n=2k+1, where k≥1. For 0≤i≤k-1 and0≤j≤m-1, putwhere the indices of ’s are taken modulo 2k. Then by Lemmas 4 and 5, for 0≤j≤m-1, is decomposed into k edge disjoint Hamilton cycles=u(j)(i=0,1,…,k-1).Let be the k-th edge of and = \{} for 0≤i≤k-1 and 0≤j≤m-1. From the proof of Lemma 6, each complete graph can be decomposed into k edgedisjoint Hamilton paths ,,…, and a matching ={,,…,}.Let Nxi={j=1,3,…,s}, where s=m-2 if m is odd and s=m-3 if m is even; and Nyi={j=0,2,…,t}, where t=m-3 if m is odd and t=m-2 if m is even.Let Li=()∪Nxi∪Nyi for 0≤i≤k-1. Then L0,L1,…,Lk-1 are k edge disjoint Hamilton paths of Kn□Pm. After we take away these Hamilton paths from Kn□Pm, the remaining edges form a linear forest. Thus,la(Kn□Pm)≤k+1=+1=. This com pletes the proof.2 la(Kn□Cm)Theorem2 la(Kn□Cm)=.Proof Since Kn□Cm can be decomposed into a Kn□Pm and a matching of size n, we have la(Kn□Cm)≤la(Kn□Pm)+1=+1 by Theorem 1. On the other hand, since Kn□Cm is (n+1)-regular, la(Kn□Cm)≥=. If n is odd, thenla(Kn□Cm)≤=. Therefore the theorem holds for odd n.Now we consider the case that n is even. Note that , we only need to show that Kn□Cm can be decomposed into linear forests. Let n=2k, where k≥1. Let V(Kn)={v0,v1,…,v2k-1} and V(Cm)={y0,y1,…,ym-1}. For convenience, we denote any vertex (vi,yj)∈V(Kn□Cm) by . For a fixed j (j=0,1,…,m-1), we use to denote the complete graph induced by {,,…,}. By Lemma 5, for 0≤j≤m-1, each can be decomposed into k edge disjoint Hamilton paths (i=0,1,…,k-1), whereand the subscripts are taken modulo 2k.For i=0,1,…,k-1, let Li=()∪{}∪{}. It is easy to see that L0,L1,…,Lk-1 are k edge disjoint linear forests and the remaining edges in Kn□Cm form onelinear forest. Thus, la(Kn□Cm)≤k+1=, which completes the proof.3 la(Kn□Km)Theor em3 la(Kn□Km)= if n and m are both even.Proof By Lemmas 2 and 3, la(Kn□Km)≤la(Kn)+la(Km)=+=. Since Kn□Km is (n+m-2)-regular, la(Kn□Km)≥=.Now, we consider the case that at least one of n,m is odd.Theorem 4 la(Kn□Km)= if n is even and m is odd.Proof Let n=2k, k≥1. Let V(Kn)={v0,v1,…,vn-1} and V(Km)={y0,y1,…,ym-1}. For convenience, we denote any vertex (vi,yj)∈V(Kn□Km) by . For a fixed j (j=0,1,…,m-1), we use to denote the complete graph induced by {,,…,}. For a fixed i (i=0,1,…,n-1), we use to denote the complete graph induced by {,,…,}. By Lemma 5, for 0≤j≤m-1, each can be decomposed into k edge disjoint Hamilton paths (i=0,1,…,k-1), whereand the subscripts are taken modulo 2k.For i=0,1,…,k-1, let Ni={j=0,2,…,m-3} and Ni+k={j=1,3,…,m-2}. It is easy to see that each Ni(i=0,1,…,2k-1) is a matching of and |Ni|=. By Lemma 6, the edges in each Ni(i=0,1,…,2k-1) can be partitioned into Hamilton paths. So the edges in E()\Ni(i=0,1,…,2k-1) form linear forests together. Furthermore, for 0≤i≤k-1, each ()∪Ni∪Ni+k forms a linear forest. So la(Kn□Km)≤+k=+=. On the other hand, la(Kn□Km)≥= since Kn□Km is (n+m-2)-regular. This completes the proof.Theorem5 la(Kn□Km)= if n and m are both odd.Proof We use the same notations in Theorem 4; i.e., letV(Kn□Km)={i=0,1,…,n-1;j=0,1,…,m-1}. For a fixed j (j=0,1,…,m-1), we use to denote the complete graph induced by {,,}. For a fixed i (i=0,1,…,n-1), we use to denote the complete graph induced by {,,…,}.Let Hi={j=0,2,…,m-3} for i=0,1,3,5,…n-2 and Hi={j=1,3,…,m-2} fori=2,4,6,…n-1. Then each Hi is a matching of with edges. By Lemma 6, the edges in each E()\Hi(i=0,1,…,n-1) can be partitioned into Hamilton paths. So the edges in E()\Hi(i=0,1,…,n-1) form linear forests together.Let Lj={,,…,} for j=0,1,…m-1. Then each Lj is a matching of with edges. Again by Lemma 6, the edges in each E()\Lj(j=0,1,…,m-1) can be partitioned into Hamilton paths. So the edges in E()\Lj(j=0,1,…,m-1) form linear forests together.It is clear that (Hi)∪(Lj) forms a linear forest. So la(Kn□Km)≤++1=. On the other hand, since Kn□Km is (n+m-2)-regular, la(Kn□Km)≥=. This completes the proof.Summarizing Theorems 3 to 5, we have the following theorem. Theorem6 la(Kn□Km)=.References[1]Harary F. Covering and packing in graphs 1 [J]. AnnalsoftheNewYorkAcademyofSciences, 1970, 175(1): 198-205.[2]Akiyama J, Exoo G, Harary F. Covering and packing in graphs 3: cyclic and acyclic invariants [J]. MathSlovaca, 1980, 30(4): 405-417.[3]Akiyama J, Exoo G, Harary F. Covering and packing in graphs 4: linear arboricity [J]. Networks, 1981, 11(1): 69-72.[4]Enomoto H, Péroche B. The linear arboricity of some regular graphs [J].JournalofGraphTheory, 1984, 8(2): 309-324.[5]Guldan F. The linear arboricity of 10-regular graphs [J]. MathSlovaca, 1986, 36(3): 225-228.[6]Martinova M K. Linear arboricity of maximal outerplanar graphs [J]. GodishnikVisshUchebnZavedPrilozhnaMath, 1987, 23: 147-155. (in Bulgarian)[7]Wu Jianliang. On the linear arboricity of planar graphs [J]. JournalofGraphTheory, 1999, 31(2): 129-134.[8]Wu Jianliang, Wu Yuwen. The linear arboricity of planar graphs of maximum degree seven are four [J]. JournalofGraphTheory, 2008, 58(3): 210-220.[9]Wu Jianliang. The linear arboricity of series-parallel graphs [J]. GraphsandCombinatorics, 2000, 16(3): 367-372.[10]Lu Xiaoxu, Xu Baogang. A note on vertex-arboricity of plane graphs [J]. JournalofNanjingUniversity: NaturalSciences, 2007, 43(1): 13-18.[11]Tan Xiang, Chen Hongyu, Wu Jianliang. The linear arboricity of planar graphs with maximum degree at least five [J]. BulletinoftheMalaysianMathematicalSciencesSociety, 2011, 34(3): 541-552.[12]Wu Jianliang, Hou Jianfeng, Liu Guizhen. The linear arboricity of planar graphs with no short cycles [J]. TheoreticalComputerScience, 2007,381(1/2/3): 230-233.[13]Bollobs B. Moderngraphtheory [M]. New York:Springer-Verlag, 1998.[14]Chen B L, Huang K C. On the linear k-arboricity of Kn and Kn,n [J].DiscreteMath, 2002, 254(1/2/3): 51-61.。

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JOURNAL OF FORMALIZED MATHEMATICSVolume14,Released2002,Published2003Inst.of Computer Science,Univ.of BiałystokThe Class of Series–Parallel Graphs.Part IKrzysztof RetelUniversity of BiałystokSummary.The paper introduces some preliminary notions concerning the graph the-ory according to[18].We define Necklace n as a graph with vertex{1,2,3,...,n}and edgeset{(1,2),(2,3),...,(n−1,n)}.The goal of the article is to prove that Necklace n and Com-plement of Necklace n are isomorphic for n=0,1,4.MML Identifier:NECKLACE.WWW:/JFM/Vol14/necklace.htmlThe articles[21],[20],[24],[11],[1],[15],[6],[3],[22],[2],[23],[25],[27],[17],[7],[12],[19], [26],[8],[10],[9],[13],[4],[5],[14],and[16]provide the notation and terminology for this paper.1.P RELIMINARIESWe follow the rules:n denotes a natural number and x1,x2,x3,x4,x5,y1,y2,y3denote sets.Let x1,x2,x3,x4,x5be sets.We say that x1,x2,x3,x4,x5are mutually different if and only if: (Def.1)x1=x2and x1=x3and x1=x4and x1=x5and x2=x3and x2=x4and x2=x5and x3=x4 and x3=x5and x4=x5.We now state several propositions:(1)If x1,x2,x3,x4,x5are mutually different,then card{x1,x2,x3,x4,x5}=5.(2)4={0,1,2,3}.(3)[:{x1,x2,x3},{y1,y2,y3}:]={ x1,y1 , x1,y2 , x1,y3 , x2,y1 , x2,y2 , x2,y3 , x3,y1 , x3,y2 , x3,y3 }.(4)For every set x and for every natural number n such that x∈n holds x is a natural number.(5)For every non empty natural number x holds0∈x.Let us observe that every set which is natural is also cardinal.Let X be a set.Observe thatδX is one-to-one.One can prove the following proposition(6)For every set X holds id X=X.Let R be a trivial binary relation.One can check that dom R is trivial.Let us observe that every function which is trivial is also one-to-one.One can prove the following propositions:(7)For all functions f,g such that dom f misses dom g holds rng(f+·g)=rng f∪rng g.1c Association of Mizar Users(8)For all one-to-one functions f,g such that dom f misses dom g and rng f misses rng g holds(f+·g)−1=f−1+·g−1.(9)For all sets A,a,b holds(A−→a)+·(A−→b)=A−→b..b)−1=b−→.a.(10)For all sets a,b holds(a−→(11)For all sets a,b,c,d such that a=b iff c=d holds[a−→c,b−→d]−1=[c−→a,d−→b].The scheme Convers deals with a non empty set A,a binary relation B,two unary functors F and G yielding sets,and a unary predicate P,and states that:B ={ F(x),G(x) ;x ranges over elements of A:P[x]}provided the following condition is met:•B={ G(x),F(x) ;x ranges over elements of A:P[x]}.Next we state the proposition(12)For all natural numbers i,j,n such that i<j and j∈n holds i∈n.2.A UXILIARY C ONCEPTSLet R,S be relational structures.We say that S embeds R if and only if the condition(Def.2)is satisfied.(Def.2)There exists a map f from R into S such that(i)f is one-to-one,and(ii)for all elements x,y of R holds x,y ∈the internal relation of R iff f(x),f(y) ∈the internal relation of S.Let R,S be non empty relational structures.Let us note that the predicate S embeds R is reflexive.We now state the proposition(13)For all non empty relational structures R,S,T such that R embeds S and S embeds T holdsR embeds T.Let R,S be non empty relational structures.We say that R is equimorphic to S if and only if: (Def.3)R embeds S and S embeds R.Let us notice that the predicate R is equimorphic to S is reflexive and symmetric.Next we state the proposition(14)Let R,S,T be non empty relational structures.Suppose R is equimorphic to S and S isequimorphic to T.Then R is equimorphic to T.Let R be a non empty relational structure.We introduce R is parallel as an antonym of R is connected.Let R be a relational structure.We say that R is symmetric if and only if:(Def.4)The internal relation of R is symmetric in the carrier of R.Let R be a relational structure.We say that R is asymmetric if and only if:(Def.5)The internal relation of R is asymmetric.Next we state the proposition(15)Let R be a relational structure.Suppose R is asymmetric.Then the internal relation of Rmisses(the internal relation of R) .Let R be a relational structure.We say that R is irreflexive if and only if:(Def.6)For every set x such that x∈the carrier of R holds x,x /∈the internal relation of R.Let n be a natural number.The functor n-SuccRelStr yields a strict relational structure and is defined as follows:(Def.7)The carrier of n-SuccRelStr=n and the internal relation of n-SuccRelStr={ i,i+1 ;i ranges over natural numbers:i+1<n}.The following two propositions are true:(16)For every natural number n holds n-SuccRelStr is asymmetric.(17)If n>0,then the internal relation of n-SuccRelStr=n−1.Let R be a relational structure.The functor SymRelStr R yielding a strict relational structure is defined by the conditions(Def.8).(Def.8)(i)The carrier of SymRelStr R=the carrier of R,and(ii)the internal relation of SymRelStr R=(the internal relation of R)∪(the internal relation of R) .Let R be a relational structure.One can check that SymRelStr R is symmetric.Let us note that there exists a relational structure which is non empty and symmetric.Let R be a symmetric relational structure.Observe that the internal relation of R is symmetric.Let R be a relational structure.The functor ComplRelStr R yielding a strict relational structure is defined by the conditions(Def.9).(Def.9)(i)The carrier of ComplRelStr R=the carrier of R,and(ii)the internal relation of ComplRelStr R=(the internal relation of R)c\id the carrier of R.Let R be a non empty relational structure.Observe that ComplRelStr R is non empty.Next we state the proposition(18)Let S,R be relational structures.Suppose S and R are isomorphic.Thenthe internal relation of S=the internal relation of R.3.N ECKLACE nLet n be a natural number.The functor Necklace n yielding a strict relational structure is defined by: (Def.10)Necklace n=SymRelStr n-SuccRelStr.Let n be a natural number.Observe that Necklace n is symmetric.We now state two propositions:(19)The internal relation of Necklace n={ i,i+1 ;i ranges over natural numbers:i+1<n}∪{ i+1,i ;i ranges over natural numbers:i+1<n}.(20)Let x be a set.Then x∈the internal relation of Necklace n if and only if there exists anatural number i such that i+1<n but x= i,i+1 or x= i+1,i .Let n be a natural number.One can verify that Necklace n is irreflexive.One can prove the following proposition(21)For every natural number n holds the carrier of Necklace n=n.Let n be a non empty natural number.Observe that Necklace n is non empty.Let n be a natural number.Note that the carrier of Necklace n isfinite.The following propositions are true:(22)For all natural numbers n,i such that i+1<n holds i,i+1 ∈the internal relation ofNecklace n.(23)For every natural number n and for every natural number i such that i∈the carrier ofNecklace n holds i<n.(24)For every non empty natural number n holds Necklace n is connected.(25)For all natural numbers i,j such that i,j ∈the internal relation of Necklace n holdsi=j+1or j=i+1.(26)Let i,j be natural numbers.Suppose i=j+1or j=i+1but i∈the carrier of Necklace nbut j∈the carrier of Necklace n.Then i,j ∈the internal relation of Necklace n.(27)If n>0,then{ i+1,i ;i ranges over natural numbers:i+1<n}=n−1.(28)If n>0,then the internal relation of Necklace n=2·(n−1).(29)Necklace1and ComplRelStrNecklace1are isomorphic.(30)Necklace4and ComplRelStrNecklace4are isomorphic.(31)If Necklace n and ComplRelStrNecklace n are isomorphic,then n=0or n=1or n=4.R EFERENCES[1]Grzegorz Bancerek.Cardinal numbers.Journal of Formalized Mathematics,1,1989./JFM/Vol1/card_1.html.[2]Grzegorz Bancerek.The fundamental properties of natural numbers.Journal of Formalized Mathematics,1,1989.http://mizar.org/JFM/Vol1/nat_1.html.[3]Grzegorz Bancerek.The ordinal numbers.Journal of Formalized Mathematics,1,1989./JFM/Vol1/ordinal1.html.[4]Grzegorz Bancerek.Sequences of ordinal numbers.Journal of Formalized Mathematics,1,1989./JFM/Vol1/ordinal2.html.[5]Grzegorz Bancerek.Directed sets,nets,ideals,filters,and maps.Journal of Formalized Mathematics,8,1996./JFM/Vol8/waybel_0.html.[6]J´o zef Białas.Group andfield definitions.Journal of Formalized Mathematics,1,1989./JFM/Vol1/realset1.html.[7]Czesław Byli´n ski.Basic functions and operations on functions.Journal of Formalized Mathematics,1,1989./JFM/Vol1/funct_3.html.[8]Czesław Byli´n ski.Functions and their basic properties.Journal of Formalized Mathematics,1,1989./JFM/Vol1/funct_1.html.[9]Czesław Byli´n ski.Functions from a set to a set.Journal of Formalized Mathematics,1,1989./JFM/Vol1/funct_2.html.[10]Czesław Byli´n ski.Partial functions.Journal of Formalized Mathematics,1,1989./JFM/Vol1/partfun1.html.[11]Czesław Byli´n ski.Some basic properties of sets.Journal of Formalized Mathematics,1,1989./JFM/Vol1/zfmisc_1.html.[12]Czesław Byli´n ski.A classicalfirst order language.Journal of Formalized Mathematics,2,1990./JFM/Vol2/cqc_lang.html.[13]Czesław Byli´n ski.The modification of a function by a function and the iteration of the composition of a function.Journal of FormalizedMathematics,2,1990./JFM/Vol2/funct_4.html.[14]Czesław Byli´n ski.Galois connections.Journal of Formalized Mathematics,8,1996./JFM/Vol8/waybel_1.html.[15]Agata Darmochwał.Finite sets.Journal of Formalized Mathematics,1,1989./JFM/Vol1/finset_1.html.[16]Adam Grabowski.On the category of posets.Journal of Formalized Mathematics,8,1996./JFM/Vol8/orders_3.html.[17]Shunichi Kobayashi.Predicate calculus for boolean valued functions.Part XII.Journal of Formalized Mathematics,11,1999.http:///JFM/Vol11/bvfunc24.html.[18]Stephan Thomasse.On better-quasi-ordering countable series-parallel orders.Transactions of the American Mathematical Society,352(6):2491–2505,2000.[19]Andrzej Trybulec.Binary operations applied to functions.Journal of Formalized Mathematics,1,1989./JFM/Vol1/funcop_1.html.[20]Andrzej Trybulec.Enumerated sets.Journal of Formalized Mathematics,1,1989./JFM/Vol1/enumset1.html.[21]Andrzej Trybulec.Tarski Grothendieck set theory.Journal of Formalized Mathematics,Axiomatics,1989./JFM/Axiomatics/tarski.html.[22]Andrzej Trybulec.Subsets of real numbers.Journal of Formalized Mathematics,Addenda,2003./JFM/Addenda/numbers.html.[23]Wojciech A.Trybulec.Partially ordered sets.Journal of Formalized Mathematics,1,1989./JFM/Vol1/orders_1.html.[24]Zinaida Trybulec.Properties of subsets.Journal of Formalized Mathematics,1,1989./JFM/Vol1/subset_1.html.[25]Edmund Woronowicz.Relations and their basic properties.Journal of Formalized Mathematics,1,1989./JFM/Vol1/relat_1.html.[26]Edmund Woronowicz.Relations defined on sets.Journal of Formalized Mathematics,1,1989./JFM/Vol1/relset_1.html.[27]Edmund Woronowicz and Anna Zalewska.Properties of binary relations.Journal of Formalized Mathematics,1,1989.http://mizar.org/JFM/Vol1/relat_2.html.Received November18,2002Published January2,2004。

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