机械加工
补偿(心理学)
数控
校准
计算机科学
坐标系
控制(管理)
控制理论(社会学)
控制工程
工程类
计算机视觉
机械工程
人工智能
数学
统计
精神分析
心理学
摘要
The machining error of parts is the result of the coupling action of various error sources, such as the spatial error of machine tools in the processing system. Machining error modeling is to establish the machining error relationship model according to the source of machining error or the measurement result of the machining error to compensate and improve the error. The accuracy of the machine tool itself is difficult to meet the requirements of the product process size. Therefore, it is necessary to carry out targeted process research to improve the processing accuracy and solve the problem of insufficient production capacity. In this paper, the data verification technology of CMM is adopted to preprocess point cloud, such as point cloud elimination, curvature analysis, point cloud division, regression analysis and point cloud regeneration. Firstly, the maximum allowable error position is found in the error model to carry out the subsequent compensation research. Finally, the proposed method is tested in a simulation environment to verify its effectiveness. The research tells that it plays an important role in improving the position accuracy, shape accuracy, surface integrity and consistency of machining.
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