Determination of the mean base circle radius of gears by optical multi-distance measurements

IF 0.8 Q4 INSTRUMENTS & INSTRUMENTATION Journal of Sensors and Sensor Systems Pub Date : 2020-08-20 DOI:10.5194/jsss-9-273-2020
M. Pillarz, A. von Freyberg, A. Fischer
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引用次数: 3

Abstract

Abstract. The required reliability of wind turbine gearboxes increases the requirements for large gear measurements. Extensive measurements to reliably assess the geometry of large gears in the single micrometer range are necessary. Due to an individually fixed measuring volume, standard methods like coordinate and gear measuring instruments reach their limits for large gears with diameters  >  1 m. Therefore, a scalable optical measurement approach consisting of a single sensor in combination with a rotary table for multi-distance measurements with subsequent model-based evaluation of shape parameters of gears is presented. The scalable measurement approach is to be extended to a multisensory system in further work. As a fundamental shape parameter the mean base circle radius using the example of spur gears is determined. The base circle radius is used due to the geometric relationship to further shape parameters for example to the profile slope deviation. The theoretically achievable measurement uncertainty of the mean base circle radius due to sensor noise is estimated to less than 5  µ m ( k=2 ) for a small and a large gear, which verifies the scalability of the sensor system. In order to show a general proof of principle, two series of optical measurements on a gear with a diameter of 0.105 m are performed and referenced with a tactile measurement. As a result, random errors of 1.2  µ m for k=2 are determined. The remaining systematic deviations to the reference value amount to 4.3 and 1.6  µ m, respectively. Hence, the total measurement uncertainty is currently limited by systematic effects, and the defined aim of a total uncertainty of less than 5  µ m ( k=2 ) is narrowly missed by 1.5  µ m. The random errors of 1.2  µ m ( k=2 ) show, however, that an adequate measurement precision is achieved and that the multi-distance measurement approach has the potential to reach the aimed measurement uncertainty with appropriate strategies to compensate for the systematic influences. The experimental and theoretical results prove the principle applicability of the proposed single sensor multi-distance approach for the precise inspection of gears.
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用光学多距离测量法确定齿轮的平均基圆半径
摘要风力涡轮机齿轮箱所需的可靠性增加了对大齿轮测量的要求。需要进行广泛的测量,以可靠地评估单个微米范围内的大齿轮的几何形状。由于测量体积单独固定,坐标和齿轮测量仪器等标准方法达到了直径较大齿轮的极限  >  1. m。因此,提出了一种可扩展的光学测量方法,该方法由单个传感器与旋转台相结合,用于多距离测量,并随后对齿轮的形状参数进行基于模型的评估。可扩展的测量方法将在进一步的工作中扩展到多传感器系统。以直齿轮为例,确定了平均基圆半径作为基本形状参数。基圆半径是由于与其他形状参数的几何关系而使用的,例如与轮廓斜率偏差的几何关系。传感器噪声导致的平均基圆半径理论上可实现的测量不确定度估计小于5  µm(k=2),这验证了传感器系统的可扩展性。为了显示原理的一般证明,对直径为0.105的齿轮进行了两系列光学测量 m被执行并且以触觉测量作为参考。结果,1.2的随机误差  对于k=2,确定µm。与参考值的剩余系统偏差分别为4.3和1.6  µm。因此,总测量不确定度目前受到系统效应的限制,总不确定度小于5的既定目标  µm(k=2)差1.5  µm。1.2的随机误差  µm(k=2)表明,实现了足够的测量精度,并且多距离测量方法有可能通过适当的策略来补偿系统影响,从而达到目标测量不确定性。实验和理论结果证明了所提出的单传感器多距离方法在齿轮精确检测中的原理适用性。
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来源期刊
Journal of Sensors and Sensor Systems
Journal of Sensors and Sensor Systems INSTRUMENTS & INSTRUMENTATION-
CiteScore
2.30
自引率
10.00%
发文量
26
审稿时长
23 weeks
期刊介绍: Journal of Sensors and Sensor Systems (JSSS) is an international open-access journal dedicated to science, application, and advancement of sensors and sensors as part of measurement systems. The emphasis is on sensor principles and phenomena, measuring systems, sensor technologies, and applications. The goal of JSSS is to provide a platform for scientists and professionals in academia – as well as for developers, engineers, and users – to discuss new developments and advancements in sensors and sensor systems.
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