| 基于不同刀具前角金属直角切削的数值模拟 |
| |
| 引用本文： | 李伟,陈文琳,刘宁,王世东,朱玉生.基于不同刀具前角金属直角切削的数值模拟[J].中国机械工程,2006(Z2). |
| |
| 作者姓名： | 李伟 陈文琳 刘宁 王世东 朱玉生 |
| |
| 作者单位： | 合肥工业大学，合肥工业大学，合肥工业大学，合肥工业大学，合肥工业大学 合肥，230009，合肥，230009，合肥，230009，合肥，230009，合肥，230009 |
| |
| 摘 要： | 基于大变形一大应变理论、增量理论以及更新拉格朗日算法,建立二维弹塑性金属直角切削有限元模型;采用几何分离准则(距离准则)判断材料的分离,并自动对畸变网格进行重划分;通过用不同的刀具前角对金属直角切削过程进行数值模拟,分析总结结果,得出直角切削过程中在不同切削前角时切削力、刀具与工件的温度、应力应变的分布情况,为选用刀具形状、提高切削表面质量提供了理论依据。
|
| 关 键 词： | 大变形—大应变理论 增量理论 弹塑性 有限元模型 分离准则 直角切削 |
Numerical Simulation of Metal Orthogonal Cutting Based on Different Tool Rake Angles |
| |
| Li Wei Chen Wenling Liu Ning Wang Shidong Zhu Yusheng Heifei University of Technology,Hefei.Numerical Simulation of Metal Orthogonal Cutting Based on Different Tool Rake Angles[J].China Mechanical Engineering,2006(Z2). |
| |
| Authors: | Li Wei Chen Wenling Liu Ning Wang Shidong Zhu Yusheng Heifei University of Technology Hefei |
| |
| Affiliation: | Li Wei Chen Wenling Liu Ning Wang Shidong Zhu Yusheng Heifei University of Technology,Hefei,230009 |
| |
| Abstract: | A 2-dimensional elasto-plastic finite element model of metal orthogonal cutting was developed based on large deformation-large strain theory,incremental theory and updating Lagrang- ian formulation.In order to determine the chip separation,the geometrical separation criterion(dis- tance criterion)was adopted;an automatic remesh technique was used to remesh the distortion mesh; a couple of numerical simulations had been developed on the metal orthogonal cutting process with dif- ferent tool rake angles.Some conclusions are obtained according to the simulation results:including the variational rule of cutting force,the temperature distribution of tool-workpiece and the correspond- ing distribution of stress and strain.Theoretical foundations are provided to the selection of tool geom- etry and to improve the surface quality of workpiece. |
| |
| Keywords: | large deformation-strain theory incremental theory elasto-plastic finite element model separation criterion orthogonal cutting |
| 本文献已被 CNKI 等数据库收录！ |
