数控机床的热误差补偿技术研究  

Thermal Error Compensation Study of CNC Machine Tools

作　　者：陈建国[1] 方辉[2] CHEN Jian-guo;FANG Hui(Department of Electrical and Mechanical Technology,Chengdu Agricultural College,Sichuan Chengdu 611130,China;College of Manufacturing Science and Engineering,Sichuan University,Sichuan Chengdu 610065,China)

机构地区：[1]成都农业科技职业学院机电技术分院,四川成都611130 [2]四川大学制造科学与工程学院,四川成都610065

出　　处：《机械设计与制造》2018年第10期142-145,共4页Machinery Design & Manufacture

基　　金：成都农业科技职业学院2015院级教改课题(JG2015-04);四川省科技支撑计划(2014GZ0122)

摘　　要：农机生产中热误差是影响数控机床加工精度的一个主要误差源,基于神经模糊系统设计了农用机械数控机床的热误差补偿模型。首先,建立一个小型数控机床来获得模型的训练数据集与测试数据集;然后,采用灰色数学理论获得各温度传感器对机械热变形的效果排名,并使用模糊c-means聚类方法将热变形效果值进行分组;最终,采用神经模糊系统设计最终的热误差补偿模型。机械实验结果表明,热误差补偿模型的预测精度较高,并具备较好的鲁棒性。The thermal error is one of the main error sources that affect the accuracy of CNC machine tools in agricultural machinery manufaction,a thermal error compensation model of agricultural machinery CNC machine tools is designed based on neuro fuzzy inference system.Firstly,a small size CNC machine tools is constructed to collect training and test datasets;then,grey math theory is adopted to compute the rank of effects of thermal deformation by temperature sensors,and fuzzy c-means clustering method is used to group the thermal deformation effect values;lastly,the neuro fuzzy inference system is used to design the final thermal error compensation model.Machinery experimental results show that the proposed thermal error compensation model performs agood predicting accuracy and robustness.

关 键 词：农用机械 数控机床 加工精度 误差补偿 神经模糊理论 

分 类 号：TH16[机械工程—机械制造及自动化]