Tian Hao, Wu Fan, Gong Yongjun
Department of Mechanical Engineering, Dalian Maritime University, Dalian 116026, China.
Sensors (Basel). 2019 Apr 2;19(7):1589. doi: 10.3390/s19071589.
Precision modeling of the hydraulic gear pump pressure dynamics depends on the accurate prediction of volumetric displacement in the inter-tooth spaces of the gear. By accurate reconstruction of the gear profile, detailed transient volumetric information can be determined. Therefore, this paper reports a non-contact gear measurement device using two opposing laser triangulation sensors, and the key geometrical models to reconstruct the profile with geometrical error compensation. An optimization-based key parameter calculation method is also proposed to find the unknown orientation of the sensor. Finally, an experimental setup is established, the performance of the device is tested and the geometric model is validated. Initial results showed that the method is able to reconstruct the target tooth profile and compensated results can reduce the geometrical error by up to 98% compared to the uncalibrated ones.
液压齿轮泵压力动态特性的精确建模取决于对齿轮齿间容积排量的准确预测。通过精确重建齿轮轮廓，可以确定详细的瞬态容积信息。因此，本文报道了一种使用两个相对的激光三角测量传感器的非接触式齿轮测量装置，以及用于在有几何误差补偿的情况下重建轮廓的关键几何模型。还提出了一种基于优化的关键参数计算方法来确定传感器的未知方向。最后，建立了实验装置，测试了该装置的性能并验证了几何模型。初步结果表明，该方法能够重建目标齿廓，与未校准的结果相比，补偿后的结果可将几何误差降低多达98%。
