摘要
为了提高五轴机床加工生产精度,采用最小二乘法建立机床静态误差预测模型,并对预测结果进行实验验证.采用齐次变换方法构造体积误差数学模型,对误差模型进行参数识别,设计机床误差测量示意图.引用最小二乘法对误差模型进行改进,通过具体实验测量不同刀具长度主轴产生的误差值.同时,与线性回归方法测量误差进行对比.实验结果表明:采用最小二乘法预测机床静态误差与实验测量值偏差较小,而采用线性回归法预测机床静态误差与实验值差别较大.采用最小二乘法预测机床静态误差,预测精度较高,能够提高五轴机床实际加工精度.
In order to improve the machining accuracy of five-axis machine tool,the model of static error prediction of machine tool is established by using the least square method,and the prediction results are verified by experiment.The volume error mathematical model was constructed by using the homogeneous transformation method,the parameter identification of the error model was carried out,and the error measurement diagram of the machine tool was designed.The error model is improved by using the least square method.At the same time,the measurement error is compared with the linear regression method.The experimental results show that the least square method is used to predict the static error of machine tool with small deviation from the experimental measurement value,while the linear regression method is used to predict the static error of machine tool with large difference from the experimental value.Using the least square method to predict the static error of machine tool,the prediction accuracy is higher,which can improve the actual machining accuracy of five-axis machine tool.
作者
赫焕丽
王量
HE Huanli;WANG Liang(Engineering College,Xianning Vocational Technical College,Xianning 437100,Hubei,China;School of Mechatronics Engineering,Henan University of Science Technology,Luoyang 471003,Henan,China)
出处
《中国工程机械学报》
北大核心
2019年第3期268-271,277,共5页
Chinese Journal of Construction Machinery
基金
河南省科技攻关资助项目(172102210072)
关键词
五轴机床
静态误差
最小二乘法
预测模型
five-axis machine tool
static error
least square method
prediction model
