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作 者:赵大兴[1] 秦园 吴贵铭 李西兴 刘红帝 Zhao Daxing;Qin Yuan;Wu Guiming;Li Xixing;Liu Hongdi(College of Mechanical Engineering,Hubei University of Technology,Wuhan 430068,China)
机构地区:[1]湖北工业大学机械工程学院,湖北武汉430068
出 处:《机械传动》2020年第6期149-154,159,共7页Journal of Mechanical Transmission
基 金:国家自然科学基金(51805152);湖北省技术创新重大专项(2017AAA108);武汉市科技计划项目(2018010402011226)。
摘 要:双向传动误差法是基于传动误差检测的动态连续回差检测方法。为解决传统滞回曲线静态检测RV减速机存在的拟合误差问题,提出了一种改进的滞回曲线法,通过改变检测步骤使测量数据形成连续闭合的曲线,规避了数据拟合造成的测量结果误差。对比分析滞回曲线与双向传动误差法检测回差,在相同转矩下,前者测得的是某一啮合点对应的回差,后者测得的是回差的变化曲线;在不同载荷下,前者测得的是回差随转矩的变化曲线,后者测得的是回差变化的曲线簇,不仅反映了回差随啮合位置的波动,也反映了回差随载荷的变化。以RV40E样机进行测试,改进的滞回曲线法在静态检测中表现良好,但是,滞回曲线法测得的回差始终在双向传动误差法所测回差波动区间内。实验数据表明,双向传动误差法测量自动化程度高,时间缩短了25. 44%,回测检测效率有显著提高。The bidirectional transmission error method is a dynamic continuous backlash detection method based on transmission error detection. Aiming at the fitting error problem of traditional static hysteretic curve testing RV reducer,an improved hysteretic curve method is proposed. By changing the testing steps,the measured data can form a continuous closed curve,avoiding the measurement error caused by data fitting. Comparison and analysis of hysteresis curve and bidirectional transmission error method for detecting backlash,under the same torque,the former measured the backlash corresponding to a certain meshing point,while the latter measured the curve of backlash variation. Under different loads,the former measured the curve of backlash versus torque,while the latter measured the curve cluster of backlash,which not only reflected the fluctuation of backlash with meshing position,but also reflected the change of backlash with load. Tested with RV40E prototype shows that the improved hysteresis curve method performs well in static testing,but the difference measured by the hysteresis curve method is always within the fluctuation range of the bidirectional transmission error method. The experimental data show that the bidirectional transmission error method has a high degree of automation,the time is shortened by 25.44%,and the efficiency is obviously improved.
分 类 号:TH132.46[机械工程—机械制造及自动化]
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