Bremen Institute for Metrology, Automation and Quality Science (BIMAQ), University of Bremen, 28359 Bremen, Germany.
Sensors (Basel). 2020 Jul 14;20(14):3910. doi: 10.3390/s20143910.
To reduce wind turbine failures by defective drive trains, deviations in the geometry of large gears (diameter ≳ 1 m) must be extensively determined with single-digit micrometer uncertainties. Fixed measuring volumes limit standard measuring methods like coordinate and gear measuring instruments for large gear measurements. Therefore, a model-based scanning multi-distance measurement approach for gear shape parameters is presented. The measurement approach has a scalable design and consists of a confocal-chromatic sensor, rotary table as a scanning unit and model-based signal processing. A preliminary study on a midsize spur gear demonstrates the general feasibility of the model-based scanning multi-distance measurement approach. As a result, the mean base circle radius as the fundamental gear shape parameter is determined with an uncertainty of <5 μm. The calibration and adjustment of the sensor arrangement were performed with a known calibration gear. Scalability is not experimentally validated in this article. However, simulations verify the scalability of the measurement approach in a first step. For gears with 1 m in diameter and varying tooth flank geometries, the estimated achievable uncertainty of the mean base circle radius is still <5 μm. Therefore, the model-based scanning multi-distance measurement approach is a promising alternative for gear inspection.
为了减少因传动链缺陷导致的风力涡轮机故障，必须以数微米的极少量测不确定度，广泛确定大齿轮（直径≥1 米）的几何形状偏差。由于固定的测量体积限制了大齿轮测量的标准测量方法，如坐标和齿轮测量仪器。因此，提出了一种基于模型的扫描多距离测量方法，用于测量齿轮形状参数。该测量方法具有可扩展的设计，由共焦-比色传感器、旋转台作为扫描单元和基于模型的信号处理组成。在一个中型正齿轮上的初步研究证明了基于模型的扫描多距离测量方法的一般可行性。结果表明，作为基本齿轮形状参数的平均基圆半径的不确定度<5μm。用已知的校准齿轮对传感器布置进行了校准和调整。在本文中，未对可扩展性进行实验验证。然而，模拟验证了测量方法在第一步中的可扩展性。对于直径为 1 米且齿廓几何形状不同的齿轮，估计的平均基圆半径的可实现不确定度仍<5μm。因此，基于模型的扫描多距离测量方法是齿轮检查的一种很有前途的替代方法。
