Study on the thermally induced spindle angular errors of a five-axis CNC machine tool
作者机构：School of Mechanical EngineeringSichuan UniversityChengdu610065People’s Republic of China
出 版 物：《Advances in Manufacturing》 (先进制造进展（英文版）)
年 卷 期：2023年第11卷第1期
页 面：75-92页
核心收录：
学科分类：08[工学] 0802[工学-机械工程] 0714[理学-统计学（可授理学、经济学学位）] 0811[工学-控制科学与工程] 0701[理学-数学] 080201[工学-机械制造及其自动化] 0812[工学-计算机科学与技术（可授工学、理学学位）]
基 金：This work is supported by the Science and Technology Program of Sichuan Province(Grant Nos.2019ZDZX0021 and 2020ZDZX0003) the Fundamental Research Funds for the Central Universities(Grant No.20826041D4254).
主 题：Machine tool Angular thermal errors Thermal error modeling Analytical model
摘 要：Thermally induced spindle angular errors of a machine tool are important factors that affect the machining accuracy of parts.It is critical to develop models with good generalization abilities to control these angular thermal errors.However,the current studies mainly focus on the modeling of linear thermal errors,and an angular thermal error model applicable to different working conditions has rarely been investigated.Furthermore,the formation mechanism of the angular thermal error remains to be studied.In this study,an analytical modeling method was proposed by analyzing the formation and propagation chain of the spindle angular thermal errors of a five-axis computer numerical control(CNC)machine tool.The effects of the machine tool structure and position were considered in the modeling process.The angular thermal error equations were obtained by analyzing the spatial thermoelastic deformation states.An analytical model of the spindle angular thermal error was established based on the geometric relation between thermal deformations.The model parameters were identified using the trust region least squares method.The results showed that the proposed analytical model exhibited good generalization ability in predicting spindle pitch angular thermal errors under different working conditions with variable spindle rotational speeds,spindle positions,and environmental temperatures in different seasons.The average mean absolute error(MAE),root mean square error(RMSE)and R2 in twelve different experiments were 4.7μrad,5.6μrad and 0.95,respectively.This study provides an effective method for revealing the formation mechanism and controlling the spindle angular thermal errors of a CNC machine tool.
维普期刊数据库