节点文献
基于最优分割和逐步回归方法的机床热误差建模方法研究
Optimal Partition Method & Stepwise Regression Based Thermal Error Modeling for a Machine Tool
【摘要】 根据机械结构的基本热变形模式,分析加工过程中的机床热误差模态,对温度测点进行初步选择.通过最优分割法优化温度测点和逐步回归法建模,将温度测点个数从初始的16个减少到3个热关键点.机床热误差模型拟合结果与实际热误差测量结果进行比较,检验结果说明该热误差模型精确度优良.
【Abstract】 In this paper a novel concept of thermal error modes analysis is proposed to develop a better understanding of the thermal deformation on a machine tool.The basic thermal error modes for a structural element are the thermal expansion and bending mode. The selection of sensors location can be improved based on the thermal error modes analysis with finite element method for reference. Through optimal partition method and stepwise regression,key temperature variables are identified,the number of thermal sensors has been reduced from 16 to 3.The thermal error modeling based on the proposed method has been applied to a machine for verification, and the results show the thermal error model is satisfying for thermal error prediction.
【Key words】 thermal error mode; optimal partition; stepwise regression; key temperature variable; thermal error model;
- 【文献出处】 厦门大学学报(自然科学版) ,Journal of Xiamen University(Natural Science) , 编辑部邮箱 ,2010年01期
- 【分类号】TG502.1
- 【被引频次】20
- 【下载频次】340