Li Junye, Li Jun, Wang Xinpeng, Tian Gongqiang, Fan Jingfeng
Ministry of Education Key Laboratory for Cross-Scale Micro and Nano Manufacturing, Changchun University of Science and Technology, Changchun 130022, China.
Chongqing Research Institute, Changchun University of Science and Technology, Chongqing 401135, China.
Micromachines (Basel). 2022 Mar 16;13(3):447. doi: 10.3390/mi13030447.
The conductive slip ring is used for power or signal transmission between two objects rotating relative to each other. It has become an essential part of modern industrial development. In traditional automated production measurements, the typical method is to use calipers, goniometers, or angle gauges to measure a parameter of the workpiece several times and then average it. These inspection means have low measurement accuracy and slow measurement speed, and measurement data cannot be processed in a timely manner. A machine vision-based method for measuring and controlling the angle of the brushes is proposed for this problem. First, the brush angle forming device was built for the conductive slip ring brush wire, forming the principle and rebound characteristics. Then, machine vision and image processing algorithms were applied to measure the key parts of the conductive slip ring brushes. The data of the forming angle value and rebound angle value were obtained during the forming process of the brush wire angle. Finally, a pre-compensation model for the brush filament rebound was developed and validated based on the curve fitting method. The test results show that the error of the angle measurement is within 0.05°. The average error of the measured rebound angle and the calculated rebound angle of the brush filament pre-compensation model was 0.112°, which verifies the correctness of the pre-compensation model. The forming angle can be controlled more precisely, and the contact performance between the brush wire and the ring body can be improved effectively. This method has the potential to be extended to engineering applications.
导电滑环用于在两个相对旋转的物体之间进行电力或信号传输。它已成为现代工业发展的重要组成部分。在传统的自动化生产测量中，典型的方法是使用卡尺、测角仪或角度规多次测量工件的一个参数，然后求平均值。这些检测手段测量精度低、测量速度慢，且测量数据无法及时处理。针对这一问题，提出了一种基于机器视觉的电刷角度测量与控制方法。首先，针对导电滑环电刷丝构建了电刷角度成型装置，分析了其成型原理和回弹特性。然后，应用机器视觉和图像处理算法对导电滑环电刷的关键部位进行测量。在电刷丝角度成型过程中获取成型角度值和回弹角度值的数据。最后，基于曲线拟合方法建立并验证了电刷丝回弹的预补偿模型。测试结果表明，角度测量误差在0.05°以内。电刷丝预补偿模型的实测回弹角与计算回弹角的平均误差为0.112°，验证了预补偿模型的正确性。可以更精确地控制成型角度，有效提高电刷丝与环体之间 的接触性能。该方法具有推广到工程应用的潜力。
