基于信息融合的五轴机床热误差建模技术  

Thermal error modeling of five-axis machine tools based on information fusion technology

作　　者：郭前建[1] 于洁[1] 王红梅[1] 李爱军[1] Guo Qianjian Yu Jie Wang Hongmei Li Aijun(School of Mechanical Engineering, Shandong University of Technology, Zibo 255049, Shandong, Chin)

机构地区：[1]山东理工大学机械工程学院,淄博255049

出　　处：《现代制造工程》2016年第12期71-75,共5页Modern Manufacturing Engineering

基　　金：国家自然科学基金项目(51305244)

摘　　要：五轴机床能对复杂的自由曲面进行加工。对五轴机床热误差进行控制,是提高其加工精度的关键所在。针对现有热误差建模方法预测精度较低、通用性和鲁棒性较差的问题,提出一种基于信息融合的五轴机床热误差建模方法。与传统建模方法相比,通过实时调整模型参数,该融合预测方法能够用于不同类型、不同操作条件的机床。将该方法应用于一台双转台五轴机床的实验研究,建立了该机床热误差的融合预测模型。实验结果表明,该方法能够提高热误差模型的预测精度及鲁棒性,从而提高五轴机床加工精度。Because of the advantage of high precision free-form surface machining, five-axis machine tools is widely used today. Controlling its thermal errors is the main way for improving its machining accuracy. In order to solve the problem of low prediction accuracy, poor robustness and generality, a new thermal error modeling method is proposed based on information fusion technology. Comparing with the traditional modeling methods, the new fusion prediction method can be used in thermal error modeling of different types of machine tools with different operating conditions. The method was applied to the research of a two turntable five- axis machine tool, and the thermal error model was presented. The experiment result shows that the new method can significantly improve the accuracy and robustness of thermal error model.

关 键 词：五轴机床 热误差 建模 融合预测 

分 类 号：TH161[机械工程—机械制造及自动化]