激光传感器
激光传感器的工作原理

激光传感器的工作原理激光传感器是一种基于激光技术的高精度、高灵敏度的测量设备,广泛应用于工业、环保、医疗、能源等领域。
本文将介绍激光传感器的工作原理及其应用。
一、激光传感器的基本组成激光传感器由三部分组成:发光器、接收器和信号处理器。
其中发光器负责发射激光信号,接收器负责接受反射回来的信号,信号处理器负责处理接收到的信号并输出测量结果。
二、激光传感器的工作原理激光传感器主要利用激光在介质中的传播和反射特性来进行测量。
具体工作原理如下:1.光的传播激光发射器向待测物体发射激光束,激光束在空气中传播时几乎不会发生散射和吸收,因此激光束的能量保持不变,能够远距离传播。
2.光的反射当激光束照射到待测物体表面时,一部分能量会被物体吸收或散射,但大部分能量会被物体表面反射回来。
这些反射光线会被接收器接收到,进而通过信号处理器进行分析。
3.测量距离通过测量激光束从发射器到物体表面的时间差,可以计算出距离。
激光束发射后,经过一段时间后,接收器会接收到反射回来的信号。
利用光速恒定的特性和时间差可以求出物体表面距离。
三、激光传感器的优点和应用激光传感器具有高精度、高灵敏度、广测量范围、快速反应等优点。
它可以被广泛应用于下列领域中:1.工业制造:激光传感器可以被用于精度高、速度快的零件检测、定位和测量。
可以用于测量机床加工时工件的距离和位置,以保证加工精度。
2.环境监测:激光传感器可以快速准确地测量大气、水资源、土壤等环境参数,例如通过测量水位来监测洪水。
3.医疗应用:激光传感器可以被应用于眼科手术、血糖测量和激光治疗等方面,广泛用于临床医学。
4.能源领域:激光传感器可以被用于监测油井的油气流量、井口压力,以及发电站锅炉的水位、流量和压力等。
激光传感器具备高精度、稳定可靠、快速响应等优点,应用范围广泛,是现代传感技术的重要研究方向之一。
四、激光传感器的分类激光传感器可以按照测量方式、应用行业和工作原理等不同标准分类。
激光传感器工作原理

激光传感器工作原理
激光传感器是一种利用激光束进行探测和测量的设备。
其工作原理基于激光的物理特性和光电传感技术。
首先,激光传感器通过一个激光发射器产生一束高能的激光束。
这个激光束具有单色、高亮度和高方向性的特点。
然后,激光束经过聚焦镜组聚焦成一条很细的光线。
这条光线从激光传感器发射出去并照射到目标物体上。
当激光束照射到目标物体表面时,一部分光线被该物体吸收,一部分光线被反射回来。
激光传感器接收到反射回来的光线,并通过接收器将其转化成电信号。
这个接收到的电信号会被放大、滤波和数字化处理。
通过对接收到的电信号进行处理,激光传感器可以得到关于目标物体的信息,如距离、位置、形状等。
具体的处理方式取决于激光传感器的类型和应用场景。
一些激光传感器在接收到信号后,可以通过测量光线的时间延迟来计算目标物体与传感器之间的距离。
其他激光传感器则可以根据接收到的光线的强度变化来计算目标物体的表面形状。
总的来说,激光传感器利用激光束的特性以及光电传感技术,实现对目标物体的探测和测量。
通过接收并处理反射回来的光线,激光传感器可以提供准确、快速的测量数据,广泛应用于工业、医疗、安全等领域。
激光式传感器

的光子得到放大,而发射激光。
*激光器发出的光具有许多普通光不可比拟的特点,如:
1.高方向性:高平行度,光束的发散角小。
2.高亮度:光束发散角小、光能在空间高度集中的缘 故。
3.高单色性:谱线宽度很窄的一段光波。
4.高相干性:相干性是指相干波在迭加区得到稳定的 干涉条纹所表现的性质,而激光式最好的相干光源。
① 外界光子能形成受激辐射光源;
② 受激光在增益介质中多次重复放大;
③ 受激光的光能密度不断增加;
④ 受激光沿某一方向传播。
↘红宝石激光器及其原理
红宝石激光器的工作原理见图4-123。在椭圆形聚光 器4内密封红宝石棒2和脉冲氙灯3。红宝石棒的基质为
Al2O3 。掺入重量比约0.05%的铬离子Cr3+,作为增益介质,
*4.11.1 *4.11.2 *4.11.3 *4.11.4
激光发射原理 常用激光器及其原理 激光的特点 激光传感器的应用及实例
* 由物理学可知,正常分布下的原子,多处于低能级 E1 ,
除非受外界作用,原子将长期保持这一稳定状态。若在外 界光子作用下,原子吸收光子的能量为 h ,只要吸收的能 量足够大,原子就从低能级 E1 跃迁到高能级 E 2 ,这一过 程称为激发,见图4-122a。激发过程应满足:
* 利用激光的高方向性制成的车速测量仪,是公路
车辆速度监测常用的仪器,其工作原理见图4-126。 该仪器有两套完全相同的光学系统,见图4-126a。光 学系统的作用是把激光束经发射透镜、光栅和接收透 镜后,准确地投射在光敏元件上。
综上:激光是目前最亮的光源,而且其单色性最纯, 会聚角最小,光束最准直,射得最远和相干性最好。
* 激光传感器可用于测量物体的几何尺寸、振动、
激光传感器的工作原理及主要用途

激光传感器的工作原理及主要用途激光传感器是一种利用激光束与目标物体之间的相互作用来测量目标物体性质和距离的传感器。
它利用激光的高功率、高单色性和高直条性等特点,通过测量激光与目标物体之间的相互作用来获取目标物体的相关信息。
激光传感器广泛应用于工业自动化、测量仪器、环境监测、安全防护等领域。
首先,激光传感器通过激光器发射激光束。
激光器主要由一定的活性介质和一个反射器构成。
在激活介质中加入外界能量,激发它的特定能级跃迁,从而形成激光。
然后,激光束通过透镜或准直镜进行光束整形和调整。
通常会使用透镜把激光束集中到一个较小的光点上,这样可以提高测量的精度和分辨率。
接着,激光束照射到目标物体上,与目标物体相互作用。
激光束与目标物体的作用主要有散射、吸收、反射等。
目标物体不同的特性会导致激光的不同反射模式,通过测量这些反射模式可以判断目标物体的性质和状态。
最后,接收器接收反射回来的激光,并将其转换为电信号。
接收器通常由光电二极管或光电二极管阵列构成,它们能够将接收到的光信号转换为相应的电信号。
接收器将电信号传递给后续的电路处理,例如放大、滤波、数据处理等。
1.距离测量:激光传感器可以通过测量激光与目标物体的时间差来计算出目标物体与传感器之间的距离。
这种测量方式被广泛应用于测量、导航、机器人等领域。
2.非接触式测量:激光传感器可以实现对目标物体的非接触式测量,避免了物理接触所带来的干扰和破坏。
这种特点使得激光传感器在自动化生产、质量控制、产品检测等领域得到广泛应用。
3.位移测量:激光传感器可以对目标物体的位移进行测量,常用于自动控制系统、机械测量、机器人等领域。
4.高精度测量:激光传感器具有高灵敏度、高分辨率等特点,可以实现对目标物体的高精度测量。
这种特点使得激光传感器在精密测量、光学仪器、医疗设备等领域得到广泛应用。
5.速度测量:激光传感器可以通过测量激光与目标物体之间的多次反射时间来计算目标物体的速度。
这种测量方式常用于运动控制、轨道监测等领域。
多点激光传感器 原理

多点激光传感器原理
多点激光传感器是一种先进的传感技术,它利用激光束来测量目标物体的距离和形状。
这种传感器可以同时获取多个点的数据,从而实现对目标物体的高精度测量和三维重建。
它在工业自动化、机器人技术、无人驾驶汽车等领域有着广泛的应用。
多点激光传感器的原理是基于激光测距技术。
它通过发射一束激光光束,并利用光电探测器接收目标物体反射回来的光信号,然后根据激光光束的时间延迟和光信号的强度来计算目标物体的距离和形状。
与传统的单点激光传感器相比,多点激光传感器可以同时获取多个点的数据,从而实现对目标物体的全方位测量。
多点激光传感器的工作原理可以简单概括为以下几个步骤,首先,激光器发射一束激光光束,照射到目标物体上;其次,目标物体反射回来的光信号被接收并转换成电信号;然后,电信号被处理器处理,计算出目标物体的距离和形状信息;最后,这些数据被用来生成目标物体的三维模型或者进行其他应用。
多点激光传感器的原理虽然看似简单,但是其背后涉及到激光技术、光电探测技术、信号处理技术等多个领域的知识。
它的应用
也非常广泛,不仅可以用于工业测量和检测,还可以应用于地质勘探、医学影像学、文物保护等领域。
随着科技的不断进步,多点激光传感器的原理和应用也将不断得到拓展和完善,为人类的生产生活带来更多便利和可能。
激光传感器用途

激光传感器用途
激光传感器是一种应用于测量和检测的高精度传感器。
它可以测量距离、速度、角度和位移等参数,具有高精度、高速、高分辨率、非接触性等特点。
激光传感器广泛应用于机器人、自动化制造、医疗、航空航天、军事等领域。
在机器人领域中,激光传感器被用于机器人的环境感知和自主导航。
通过激光传感器获取周围环境的信息,机器人可以根据环境信息做出决策,实现自主导航。
在自动化制造领域中,激光传感器被用于工件检测、质量控制等方面。
例如,激光传感器可以测量机器人与工件之间的距离,从而确保机器人在加工过程中的精度。
在医疗领域中,激光传感器被用于医学成像和治疗。
例如,激光传感器可以用于眼科手术中,通过测量眼部组织的距离和形态,帮助医生做出更准确的手术决策。
在航空航天领域中,激光传感器被用于机器人探测和遥感。
例如,激光雷达可以用于对地球表面的三维测量,帮助科学家更好地了解地球的地形和气候。
在军事领域中,激光传感器被用于目标识别和跟踪。
例如,激光测距仪可以用于测量目标与自身距离,帮助军事人员做出更准确的瞄准和打击。
综上所述,激光传感器具有广泛的应用前景和市场需求,随着技术的不断进步和应用领域的不断拓展,激光传感器的应用前景将会越
来越广阔。
激光传感器的工作原理及应用

激光传感器的工作原理及应用概述激光传感器是一种常见的光电传感器,利用激光束进行测量和探测。
它具有高精度、高灵敏度、非接触等特点,在工业自动化、机器人、安防监控等领域得到广泛应用。
本文将介绍激光传感器的工作原理以及其在不同领域的应用。
工作原理激光传感器的工作原理基于激光束的测距原理。
其核心部件是激光发射器、接收器和信号处理器。
1.激光发射器:激光传感器通过激光发射器产生并发射激光束。
激光束一般可以分为连续型和脉冲型两种。
连续型激光束是持续发射的,适用于距离较远的测量;脉冲型激光束则以脉冲的形式发射,适用于测量更近的距离。
2.接收器:激光传感器的接收器用于接收反射回来的激光束。
接收器通常包括光学透镜和光电探测器。
光学透镜用于聚焦激光束,而光电探测器则用于将激光转换为电信号。
3.信号处理器:激光传感器的信号处理器对接收到的电信号进行处理和分析,得出测量结果。
处理器可以根据接收信号的幅值、时序等信息计算出物体与激光传感器的距离、位置等参数。
应用领域激光传感器在各个领域都有广泛的应用。
以下是一些典型的应用案例:工业自动化•测距和测量:激光传感器可用于测量物体的距离、高度、宽度等参数,被广泛应用于机器人导航、机械加工、流水线控制等领域。
•检测和定位:激光传感器可以用于检测物体的位置、形状等特征,常用于自动控制、目标定位等系统。
•物体识别:激光传感器可以识别、辨别不同材料的物体,广泛应用于质量检测、物料分拣等场景。
安防监控•周界安防:激光传感器可以通过监测激光束是否被遮挡来实现周界安防,常用于仓库、园区等场所。
•运动检测:激光传感器可通过检测物体的运动来实现安防监控,常用于智能门禁、入侵报警等系统。
•人体检测:激光传感器可以识别和跟踪人体,用于人体计数、行为分析等应用场景。
环境监测•污染检测:激光传感器可以检测大气中的颗粒物,用于空气污染监测、工业排放监控等。
•温度测量:激光传感器可以通过测量物体表面的红外辐射来实现非接触式温度测量,常用于物体表面温度检测。
激光测距传感器工作原理

激光测距传感器工作原理激光测距传感器是一种常用于测量物体距离的设备。
它利用激光束发射和接收的时间差来计算物体与传感器之间的距离。
本文将介绍激光测距传感器的工作原理及其应用。
1. 原理概述激光测距传感器基于飞行时间原理工作。
它发射一束脉冲激光束到物体上,并测量激光从传感器到物体的时间。
通过计算光速以及激光发射和接收的时间差,传感器可以准确地计算出物体与传感器之间的距离。
2. 发射和接收激光束在激光测距传感器中,激光器负责发射激光束,而接收器则用于接收从物体反射回来的激光束。
激光器通常是半导体激光器,使用红外激光。
反射激光经过光学透镜聚焦到接收器上,接收器将接收到的激光转换为电信号。
3. 计算测距在激光测距传感器中,测距过程可以分为几个步骤:•发射激光脉冲:激光测距器发射一个短脉冲的激光束。
•接收激光脉冲:传感器接收从物体反射回来的激光脉冲。
•计算时间差:传感器测量激光发射和接收的时间差。
这个时间差被称为飞行时间。
•计算距离:使用光速和飞行时间计算出物体与传感器之间的距离。
由于光速是已知的,因此计算出的距离就是非常准确的。
激光测距传感器可以在毫秒级的时间内完成一次测距操作。
4. 精度和范围激光测距传感器的精度和测量范围是两个重要的参数。
精度指的是传感器测量距离的准确程度。
通常以毫米为单位,精度越高,测量结果越准确。
测量范围是指传感器可以测量的最大物体距离。
不同型号的传感器具有不同的测量范围,通常在几米到几十米之间。
5. 应用激光测距传感器在工业和消费电子领域有着广泛的应用。
一些常见的应用包括:•工业自动化:激光测距传感器被广泛用于机器人导航、自动化仓储和物流系统中的精确定位和避障。
•距离测量:激光测距传感器可用于测量建筑物的高度、距离和位置,还可用于测量地质和测绘应用中的地形变化。
•安全监控:激光测距传感器可用于安防系统中的人体检测、入侵报警和跟踪设备。
6. 总结激光测距传感器利用激光束的发射和接收时间差来计算物体与传感器之间的距离。
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A SENSOR FOR LASER ULTRASONIC MEASUREMENT OF ELASTIC PROPERTIES DURING MANUFACTUREP. Ridgway 1, R. Russo 1, E. Lafond 2, T. Jackson 2, X. Zhang 2Lawrence Berkeley National Laboratory, Berkeley, CA, USA; 2 Institute of Paper Science and Technology at Georgia Tech, Atlanta, GA, USAAbstract: An automated sensor has been developed for use in paper manufacturing and for demonstration on a full scale paper machine during commercial operation. This laser ultrasonic sensor provides non-contact and on-line measurement of the elastic properties of paper and paperboard. It was tested on a pilot web handler at web speeds up to 12.7 m/s. Measurements of flexural rigidity and out-of-plane shear rigidity were made by fitting the frequency dependence of the phase velocity of A o Lamb waves mode to a model equation. Ultrasonic waves were generated in the paper with a pulsed Nd:YAG laser and detected with a Mach-Zehnder interferometer coupled with a scanning mirror/timing system to compensate for paper motion. On-line measurements agreed very well with off-line laboratory measurements.IntroductionIn Laser Ultrasonics (LU), also known as laser-based ultrasonics, acoustic waves can begenerated with a pulsed laser in a material to determine one or more of its physical properties. These acoustic waves are also often monitored with a laser-based detector, usually a form of interferometer, without physical contact to the sample (1). In this work, plate waves (also called Lamb waves) (2) are detected several millimeters from the generation point as they propagate along the sheet. A diagram of this system is shown in Figure 1.Laser ultrasonics has been applied in recent years to measurement of mechanical properties of paper in the laboratory (3,4). Further laboratory demonstrations of LU on moving paperdemonstrated the possibility for routine measurement of these properties during manufacture, and for feedback control of the papermaking processbased on these measurements (5,6). Further developments in signal processing and the results of a miniaturized and industrialized scanning LU sensor on moving paper are discussed in this paper.Figure 1. System for laser ultrasonic analysis of paper.BackgroundLU signal energy in paper goes predominantly into the zero order anti-symmetric (A o) mode plate wave (3). The A o mode is characterized by relatively large (hundreds of nanometers) out-of plane displacements, which are easily detected with commercially available laser vibrometers. In this work, a Fourier transform, ‘phase unwrapping’ computational method was used to calculate two elastic properties from a phase velocity versus frequency dispersion curve that was constructed from two A o wave signals (7). The properties are flexural rigidity (D) and out-of-plane Shear Rigidity, SR (for homogeneous material shear rigidity is equal to shear modulus times caliper). Flexural rigidity differs slightly (for paper it is typically about 9% larger) from Bending Stiffness (BS) through a term that depends on the in-plane Poisson’s ratios (νxy and νyx):D = BS/(1-νxyνyx)The flexural rigidity measurement comes primarily from the low frequency portions of the dispersion curve, whereas shear rigidity comes from the high frequency components. As basis weight decreases (the basis weight is the weight per unit area of the web), the division between the high and low frequency regimes of the dispersion curve moves to higher frequencies. For low basis weight papers, there is little range for SR determination in our LU frequency range (about 10 KHz to 600 KHz). In practice, this means that LU methods provide good estimates of D and SR for paperboard products, but only good D values for light weight papers.Bending stiffness is routinely measured in paperboard mill laboratories. Bending stiffness is of interest because it is closely related to flexural rigidity, which is the determining factor in the rigidity of paper sheets and structures. Of all the elastic parameters that could conceivably be measured “on-line” (on the papermaking machine), flexural rigidity is the one most directly related to important end use performance and the one of most practical value. Out of plane shear rigidity is a sensitive indicator of fiber bonding and is an important contributor to in-plane compressive strength (8). In addition to monitoring end-use properties, on-line measurements of D and SR are potentially useful as inputs for feedback process control.The ability to monitor bending stiffness during manufacture (and implement the corresponding feedback process control) is expected to reduce production costs by reducing the basis weight needed to reach stiffness targets and reducing the amount of off-standard (low-stiffness) product. For example, a modest 2% reduction in basis weight needed to reach stiffness targets on a 479 ton per day uncoated free sheet machine is estimated to save $1.1 million/year in reduced fiber, chemicals and energy use. If a reduction in off-standard product from 6.2 to 5.2% (a 1% increase in first grade product) is achieved, an additional savings of $0.4 million/yr is expected. Further, a reduction in paper breaks is likely since on-line monitoring will allow a more uniform stiffness in the product, and therefore a more uniform strength of the web. Additional savings from recycling less off-standard product and less web breaks have not been included in this savings estimate (9).LU measurements are complementary to contact ultrasonic techniques. Contact methods are applicable to the detection of low frequency zero order symmetric (S0) plate waves (2), in-plane shear horizontal plate waves, and out-of-plane bulk waves (10-15). Rather than flexural and shear rigidity, contact methods provide determinations of planar stiffness, in-plane shear rigidity, and effective out-of-plane bulk stiffness. The contact transducer coefficients find application through correlation with strength properties, whereas flexural rigidity is of practical importance in its own right. Another significant advantage of LU is that it does not require physical contact with the sheet, eliminating that potential cause of paper damage.Sensor HardwareThe core of the prototype miniaturized sensor developed jointly by LBNL and IPST at Georgia Tech is shown in figure 2. It is housed in an aluminum enclosure designed to be mounted on the upstream end of the “head package” of a “Smart Platform” scanning system made by ABBCorporation. The head package contains various sensors and is scanning the whole width of the web perpendicularly to the web motion as the paper is produced and goes by.LU SensorPackage Figure 2. The sensor installed on the pilot scale web simulator at IPST at Georgia Tech.The core of the sensor is shown in detail in Figure 3 with its front cover removed. The cables are enclosed in a 2” diameter plastic conduit that is external to the scanning system and connects to an ancillary instrument platform up to 5 meters away. The ultrasound generation system consists of a pulsed Nd:YAG laser (New Wave Tempest 10) that delivers a 15 nanosecond pulse at 1.06 µm into an optical fiber , which transmits the laser pulse over a distance of approximately 8 m to the sensor where it is focused onto the web. To generate the ultrasonic signal, the generation laser beam was focused with a 10mm focal length aspheric lens. Since the beam at the output of the fiber optic is highly divergent, the laser generation spot is approximately 15 mm away from the aspheric lens. The laser pulse energies ranged from 3 to 8 mJ. The detection interferometer beam was focused onto the paper at a position separated by from 5 to 15 mm from the position where the generation beam was focused. The generation spot can be moved along the Machine Direction (MD: direction in which the web is moving) or Cross Direction (CD: direction in the plane of the web perpendicular to MD) thanks to the X-Y position servos. Using a thermostat, a thermocouple and a Vortex tube, the sensor is cooled, temperature-regulated and protected from dust by an air pressure above the ambient pressure. It also incorporates a web temperature sub-sensor to correct for the effect of web temperature on the flexural rigidity.The ultrasound detector is a Mach-Zehnder interferometer (Polytec-PI CLV1000/OVD02) which includes a continuous, low-power (eye-safe) helium-neon laser source, coupled with a scanning mirror to move the detection laser beam and track paper motion, and a timing system to fire the generation laser when the detection beam is in the proper position on the paper surface.SensorSensor scannerSmartPlatformSpinningsensor temp x/y positionGeneration laserVortex Sheet temp sensorthermostat frameSheet guide lower headpackage thermocoupleInterferometerCooling Air servos optical fiberCooler Sensor SoftwareFigure 3. Detailed diagram of the core of the sensor.The scanning mirror optics innovation was crucial and is shown in figure 4. Without it, textural noise from the moving, rough paper surface under the detection laser would overwhelm the LU signal which has a much smaller amplitude. Details of the apparatus have been describedpreviously (5). The system has since been modified to rotate the scanning mirror with a feedback-controlled DC servomotor and to collect data with a personal computer equipped with an oscilloscope card (Gage Compuscope 1250).Figure 4. Detection on moving paper using a spinning mirror.Data collectionA LabVIEW-based software is used to control the mechanical system and extract D and SR values from the ultrasound signals. The software also integrates sensor data from the rest of the ABB scanning system. The sensor is capable of measuring D and SR in the MD, CD, or at any intermediate angle. During ultrasound data collection we monitor signals from other sensors within and outside the scanner and convert them to measurements of basis weight, web water content and temperature, web tension along MD and web speed. Gathering these signalssimultaneously allows precise alignment among all collected sensor data. These data are used to correct measurements of D for the effects of variations in these properties. Typically, 5 to 15 ultrasonic signals are averaged for better signal to noise ratio and consistency. All signals collected within a CD position range are joined into an averaged signal, which is displayed in the software panel shown in Figure 5. On it, one can see an averaged A0 wave starting at 10 µs with a 5 mm separation distance (in black) and an A0 wave having a 10 mm separation distance (in red). The unaveraged 10 mm signal is displayed on the middle left panel.When the intensity of the light collected by the interferometer falls below a user-selected threshold (lower left panel), then the ultrasound signal is considered invalid and is not included in the averaged signal. All sensor data, CD position, time of day, and each raw ultrasonic pulse (one per laser shot) are saved to a log file for back-up.Figure 5.Main panel for the data acquisition and dynamic averaging of the ultrasonic wavesbefore processing to extract elastic propertiesSignal AnalysisThe Fourier transforms of two ultrasonic signals, recorded at different excitation-to-reception separations (d) (usually 5 or 10 mm), were used to calculate the phase velocity C as a function of angular frequency, ω. Αt each frequency, the phase velocity was calculated from the difference in separation, ∆d, and difference in Fourier phase ∆φ,C(ω) = -ω∆d/∆φ .A plot of the phase velocity versus frequency is known as a dispersion curve. In order to calculate values of D/(basis weight, BW) and SR/BW, an approximate relationship of C(ω ) toD/BW and D/SR,C4+(D/SR)ω2C2-(D/BW)ω2 = 0 ,was fitted to a selected region of the curve by an iterated, least square method. A proper determination of the dispersion equation requires the solution of a complex transcendental equation involving in-plane and out-of-plane elastic properties (2,15). For the A o mode at low frequencies, wave motion can be modeled with beam equations. The simplified dispersion equation shown earlier is easily derived if deformation is taken as the sum of shear and bending deformations, plane sections of the beam are assumed to remain planar during wave motion, and rotational inertia is ignored. We made mathematical comparisons between the full and approximate dispersion equation for typical papers in the frequency range of our measurements and found very small differences (16).An artifact created by moving the detection beam with the paper is the changing optical path length inducing a very large amplitude distortion of the ultrasound signal at frequencies below about 5 KHz. This distortion is in the form of linear ramp that is useful in tuning the excitation laser trigger timing system, and can be filtered out when collecting ultrasound signals. The change in optical path length (~100µm) is very large compared to the displacement due to ultrasound (~100nm) we detect. This requires a very large dynamic range in the displacement measurement. The range of the Polytec vibrometer is large enough so that there is no saturation of the signal due to this changing optical path. This is partly because the vibrometer system measures out-of-plane velocity, rather than displacement. A disadvantage of out-of-plane velocity measurement is that the low-frequency sensitivity is much lower than in the case of interferometers which measure displacement, such as the LU Two-Wave Mixing (TWM) photorefractive interferometer developed at IPST at Georgia Tech for use on stationary paper and paperboard (17-18). The LU TWM-based instrument is, however, too sensitive to a fast and continuous motion of the object along the direction of the detection beam. This prevented its use in our sensor for moving paper. On the other hand, TWM signals cover a wider frequency range that can be more readily compared with theory to extract elastic properties. Thus the TWM interferometer is preferred for the development of automated algorithms for calculation of elastic properties from laser ultrasound signals on both stationary and moving paper.The software described above is used for data acquisition, signal averaging and curve fitting. Signals at each separation are averaged. The resulting pair of signals and the web basis weight are used to calculate D and SR. The software panel that analyzes the waves, calculates and displays D and SR is shown in Figure 6. One can see a 5 mm (top window, in red) and a 10 mm (2nd window from top, in black) separation LU-generated Lamb wave and the magnitude of their spectra (center left window).Figure 6. Software panel for display of automated D and SR measurements in real time. D is noted FR.ResultsThe results presented hereafter are some preliminary data collected immediately after installing the sensor described above for testing on IPST at Georgia Tech’s pilot facility, prior to installation in the mill. Results of more extensive measurements made with an earlier and much more primitive version of this sensor on several paper grades at web speeds up to 25 m/s were published previously (19).Laser Ultrasonic Measurements on Moving PaperIn the data presented in table 1, the signals obtained with the LU online sensor were not averaged, and the measurements have not been corrected for web moisture content, temperature, variations in basis weight, or MD tension as those parameters were not varied. Table 1 shows the flexural rigidity along the MD and CD obtained by the laser ultrasonic on-line sensor, at varying web speeds, on a belt of “IP offset” paper (paper used for copy machines; basis weight 77 g/m2), 1 foot wide and about 40 feet in circumference. The standard deviations in the measurements indicate the large local variability in elastic properties that is characteristic of paper. Correlation with Measurements from the TWM Laboratory InstrumentThe LU values measured on the moving web were compared to offline LU measurements made with the TWM laboratory instrument. In the later case, dozens of TWM ultrasonic signals obtained at separation distances from 5 to 35 mm were combined into a single averaged measurement of the flexural rigidity of the sample. Therefore we cannot report a standard deviation of the measurement for comparison with the variation in the averaged measurements on moving paper. However, a variation of approximately 6% from location to location is expected from past work with the TWM instrument on samples of similar basis weights and dimensions. The area tested was only a few inches long, instead of a strip approximately 40 feet long for the measurements on moving paper. It is worth noticing that, thanks to averaging, the TWM results are well within the standard deviation of the results on moving paper.SensorTWMLaboratoryOnlinesensorWeb speed (m/s) 0 1-9MD 5.03E-04 5.37±1.4 E-04D (N.m) (avg)CD 3.33E-04 3.67±0.8 E-04Table 1: Laboratory TWM interferometer and online sensor measurements on “IP Offset” paperFurther work will include tests on paper samples with basis weights ranging from 50-160 g/m2, and comparison of the on-line laser ultrasonic flexural rigidity results with off-line measurements.SummaryAn automated and miniaturized laser ultrasonic sensor has been developed for non-contact measurement of flexural rigidity of moving paper during manufacture. Prototype sensor hardware and software designed for demonstration on a full-scale paper machine in commercial operation, and data collected in the initial stages of system tests at a pilot facility are described. The continuous monitoring of flexural rigidity on moving paper during manufacture that this sensor provides will allow control of the papermaking process to reduce stiffness variability and maximize stiffness while minimizing basis weight when desired, and reduce waste reprocessing costs. It is another step toward a paper manufacturing process that is more efficient and cost-effective in use of energy and natural resources.AcknowledgementWe thank Ake Hellstrom of ABB Corp. for consultation and design advice. We thank David White, technology transfer director of IPST for the economic analysis (9). This research is supported by the Department Of Energy/ Industrial Technology Programs, under Contracts No. DE-AC03-76SF00098, DE-FC07-97ID13578 and DE-FC07-02ID14344, and by internal funding from IPST at Georgia Tech.References(1) Scruby, B. and Drain, L.,“Laser Ultrasonics, Techniques and Applications”, Adam Hilger, New York (1990)(2) Graff, F., “Wave Motion in Elastic Solids”, Dover, New York (1975)(3) Johnson, M., PhD Thesis, Georgia Institute of Technology (1996)(4) Berthelot, Y., and Johnson, M., “Laser Ultrasonics in Copy Paper”, Optical Eng. 36(2):408-416 (1997)(5) Ridgway, P., Hunt, A., Quinby-Hunt, M., and Russo, R., “Laser Ultrasonics on Moving Paper”, Ultrasonic s 37:395-403 (1999)(6) Pouet, B., Lafond, E., Pufahl, B., Bacher, D., Brodeur, P., and Klein, M., “On-Machine Characterization of Moving Paper Using a Photo-Emf Laser Ultrasonics Method”, SPIE Conference on Nondestructive Evaluation Techniques for Aging Infrastructure & Manufacturing/Process Control and Sensors for Manufacturing, Newport, CA, SPIE3589:160 (1999)(7) Jong, J., Brodeur, P., Lafond E., Gerhardstein J., and Pufahl B. “Laser Ultrasonics for Noncontact Measurement of Lamb Waves in Static and Moving Paper”, J. 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