Thermal error simulation and compensation in a jig-boring machine equipped with a dual-drive servo feed system

机床 补偿(心理学) 瞬态(计算机编程) 机械加工 有限元法 热的 机械工程 控制理论(社会学) 伺服 伺服电动机 传热 发热 计算机科学 变形(气象学) 工程类 材料科学 机械 结构工程 人工智能 物理 复合材料 气象学 操作系统 控制(管理) 热力学 心理学 精神分析
作者
Jun Yang,Dongsheng Zhang,Xuesong Mei,Liang Zhao,Chi Ma,Hu Shi
出处
期刊:Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture [SAGE]
卷期号:229 (1_suppl): 43-63 被引量:20
标识
DOI:10.1177/0954405414555592
摘要

A jig-boring machine equipped with a dual-drive servo system can operate with high speed and accuracy. However, different friction behaviours and asymmetrical preloads of the double drive structures as well as asynchronous control over the master-slave motors can make the machine produce tremendous heat, causing uneven temperature distributions in the feed system and eventually leading to thermal deformation that reduces the positional accuracy of machines. To investigate the effects of thermal behaviours on machining accuracy, the thermal–structure finite element method was employed to analyse the transient thermal deformation and temperature field of the machine at different feed rates, considering boundary conditions such as the convective heat transfer coefficient and heat generation by motors, bearings, and screws. Additionally, a synchronous acquisition system was developed to measure the thermal behaviours, and the transient changes in temperature and deformation were compared with simulated values. Consequently, a synthetic thermal model was established to make accurate predictions based on the analysis of relationships between thermal error and equilibrium time, coordinate position and screw temperature. Finally, thermal error compensation was performed using a feedback integration method. The experimental data indicate that the finite element method model can accurately predict temperature distributions and thermal errors. Moreover, thermal errors were compensated at 24.1 °C and 22.6 °C with a feed rate of 18 m/min, and machining accuracy was increased by 73% and 62%, respectively.
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