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基于运动误差的3-D表面形貌检测方法

3-D Surface Morphology Detection Method Based on Motion Error

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【作者】 乔冠尧徐嘉忆赵春雨

【Author】 QIAO Guan-yao;XU Jia-yi;ZHAO Chun-yu;School of Mechanical Engineering & Automation, Northeastern University;

【机构】 东北大学机械工程与自动化学院

【摘要】 主轴运动误差会降低被加工表面的质量和被加工轮廓的动态精度.通过对数控车床主轴运动误差的分析和研究,提出了一种基于运动误差的车削工件3-D表面形貌检测方法 .仿真结果表明,该检测方法在求解主轴回转误差和工件表面形貌时具有很高的计算精度,可将工件表面形貌与主轴径向跳动误差和倾角摆动误差分离.为了验证该检测方法的可靠性,搭建了3-D表面形貌检测平台采集实验数据,之后通过分离算法得到了工件表面形貌数据和数控车床主轴运动误差.最后,分析了实验中异步误差和传感器误差对工件表面形貌检测结果的影响.

【Abstract】 The spindle motion error will reduce the quality of the machined surface and the dynamic accuracy of the machined profile. A 3-D surface morphology detection method for turning workpieces based on motion error was proposed after analyzing and studying the spindle motion error of the CNC lathe. The simulation results showed that the detection method has high calculation accuracy in solving spindle rotation error and workpiece surface profile and can separate the workpiece surface profile from spindle radial runout error and tilt swing error. In order to verify the reliability of the detection method, a 3-D surface topography detection platform was built to collect experimental data, and then the workpiece surface topography data and the motion error of the CNC lathe spindle were obtained by a separation algorithm. Finally, the effect of asynchronous error and sensor error on the results of surface morphology inspection of the artifacts in the experiment were analyzed.

【基金】 国家自然科学基金资助项目(52475092)
  • 【文献出处】 东北大学学报(自然科学版) ,Journal of Northeastern University(Natural Science) , 编辑部邮箱 ,2024年12期
  • 【分类号】TH161.14
  • 【下载频次】13
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