Guo Tieneng, Meng Lingjun, Hua Xu, Zhou Cheng, Peng Liwei
Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China.
Beijing Key Laboratory of Advanced Manufacturing Technology, Beijing University of Technology, Beijing, China.
Sci Prog. 2021 Apr-Jun;104(2):368504211016969. doi: 10.1177/00368504211016969.
Determining the weak parts of a structure is one of the key issues in the field of machine tool stiffness improvement. However, studies show that overcoming the static deformation with acquisition difficulty is a complex problem in practical structures. This study considers the machine tool cantilever structure, as a cantilever beam and bar structure, where the objective is to propose a weakness index, to identify the weak part, using system reconstruction to extract the measured static deformation data and the fitting data. Stiffness reduction is used to simulate weak parts, while the effectiveness of the method is evaluated, in the case of various weakness values and of different noise levels, using the finite element simulation approach. The validity of the proposed method is illustrated through comparison of the theoretical results to the experimental ones, using the cantilever structure of a test machine tool. The research content provides some means of improving the machining accuracy of machine tools.
确定结构的薄弱部分是机床刚度提升领域的关键问题之一。然而,研究表明,在实际结构中克服获取难度较大的静态变形是一个复杂问题。本研究将机床悬臂结构视为悬臂梁和杆结构,目的是提出一个弱点指标,通过系统重构提取测量的静态变形数据和拟合数据来识别薄弱部分。采用刚度降低来模拟薄弱部分,同时在不同弱点值和不同噪声水平的情况下,使用有限元模拟方法评估该方法的有效性。利用试验机床的悬臂结构,通过将理论结果与实验结果进行比较,说明了所提方法的有效性。该研究内容为提高机床加工精度提供了一些方法。