基于DEFORM-3D的慢刀伺服车削加工表面粗糙度预测  

Roughness Prediction of Slow Tool Servo Turning Based on DEFORM-3D

作　　者：李春林[1] 康敏[1,2] 王兴盛[1] 傅秀清[1] 

机构地区：[1]南京农业大学工学院,南京210031 [2]南京农业大学江苏省智能化农业装备重点实验室,南京210031

出　　处：《机械设计与研究》2014年第4期95-99,共5页Machine Design And Research

基　　金：江苏省普通高校研究生科研创新计划资助项目(CXZZ12_0271);南京农业大学工学院引进人才科研启动基金资助项目(Rcqd11-05)

摘　　要：以慢刀伺服车削加工过程为研究对象,基于Lagrange插值理论,通过对DEFORM-3D软件的二次开发完成表面粗糙度的预测。采用局部网格细化以及自适应网格划分方式,库伦(Coulomb)摩擦力模型以及物理分离准则建立预测模型。此模型弥补了常用有限元软件只能模拟简单切削运动的缺陷,可以更加直观的研究慢刀伺服车削加工的加工过程,同时借助表面位移量这一参数对加工表面质量进行预测。最后通过试验验证了模型的正确性以及预测结果的准确性。To predict the surface roughness of slow tool servo process, secondary development of Defoem-3D based on Lagrange interpolation theory was done. The prediction model has been accomplished based on local mesh refinement and adaptive meshing method, Coulomb friction model and physical separation criterion and made up for the defects of general finite element software which can only simulate simple cutting movement. It can be used to study the machining process of slow tool servo and the effects of cutting condition on surface roughness more intuitively. Also this model can predict surface quality by surface displacement such a parameter. Experiment verified the accuracy of the model and the prediction results.

关 键 词：慢刀伺服 软件二次开发 有限元仿真 表面质量预测 

分 类 号：TH741[机械工程—光学工程]