Research Progress on Spatial Error Modeling and Identification Methods for CNC Machine Tools Based on Error Compensation

doi:10.3901/JME.2025.19.202

Abstract

Abstract: The modeling analysis and identification of the spatial errors of CNC machine tools have always been important steps in error compensation. Firstly, the research history and technological development of the modeling theories and identification methods for machine tool spatial errors are discussed. Secondly, the modeling and analysis of machine tool spatial errors is an important prerequisite for error compensation. The modeling theory of machine tool spatial errors has been comprehensively reviewed and analyzed, including methods such as rigid body kinematics theory, homogeneous coordinate change theory, D-H transformation theory, multi-body theory, and screw theory. Thirdly, the accurate measurement and precise identification of spatial error elements in machine tools are key to achieving effective control. The current status and development trends of key measurement and identification methods for machine tool spatial errors are specifically introduced and comprehensively evaluated, including laser interferometer multi line method, body diagonal method, as well as ball bar method, laser tracker method, and other methods. Finally, the modeling, detection, and identification of spatial errors in integrated machine tools are systematically analyzed to identify the problems that still need to be solved in improving the spatial accuracy of existing CNC machine tools. The importance of technological innovation in improving measurement efficiency and accuracy is emphasized; And prospects for future development directions have certain guiding significance for improving the accuracy of CNC machine tools.

Key words: CNC machine tool, error modeling, error detection and identification, space error compensation

CLC Number:

TG659

SUN Guangming, HAN Bing, ZHANG Dawei, TIAN Wenjie, GUO Xin, ZHAO Jian, HE Gaiyun, GAO Weiguo, SU Zhe. Research Progress on Spatial Error Modeling and Identification Methods for CNC Machine Tools Based on Error Compensation[J]. Journal of Mechanical Engineering, 2025, 61(19): 202-228.

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