文献类型：期刊文献

英文题名：Sensitivity analysis method of geometric error of CNC machine tools based on error accumulation

作者：Zhang, Zekun[1];Liu, Huanlao[1];Wang, Yulin[1];Bao, Xiyu[1]

机构：[1]Guangdong Ocean Univ, Guangdong Engn Technol Res Ctr Ocean Equipment & M, Sch Mech Engn, Zhanjiang 524088, Peoples R China

年份：2026

外文期刊名：INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY

收录：SCI-EXPANDED(收录号：WOS:001683352000001)、、EI(收录号：20260720049262)、Scopus(收录号：2-s2.0-105029542398)、WOS

基金：This work was supported by the National Natural Science Foundation of China (52175458), Department of Education of Guangdong Province(2022ZDZX3006), Guangdong Provincial Department of Science and Technology(2021A05186).

语种：英文

外文关键词：CNC machine tool; Integrated error modeling; Sensitivity analysis; S-shaped specimen

外文摘要：To address the issue of varying influence weights of geometric errors in actual five-axis machining, this paper proposes a sensitivity analysis method that combines the projection relationship of individual errors onto the composite error vector with the cumulative error of each axis. Partial differential equations establish error projection formulas for individual geometric errors in each direction. Based on the actual motion trajectories of each axis during the machining of the S-shaped specimen, cumulative error calculations are performed within each axis's travel range. Following normalization processing, sensitivity coefficients for individual errors are obtained, successfully identifying 15 critical errors. After compensating for the identified critical errors through simulation, the surface accuracy of the S-shaped specimen machined by the machine tool improved by 63.24% compared to pre-compensation. The results demonstrate that this method achieves high efficiency and effectiveness in identifying critical geometric errors of five-axis machine tools, providing a new approach for enhancing machine tool precision