东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2014, Vol. 35 ›› Issue (12): 1773-1777.DOI: 10.12068/j.issn.1005-3026.2014.12.023

• 机械工程 • 上一篇    下一篇

基于GA和DEFORM的陶瓷材料切削力数值模拟

马廉洁1,2， 李琛1， 曹小兵1， 巩亚东2   

  1. (1. 东北大学秦皇岛分校 控制工程学院， 河北 秦皇岛066004; 2. 东北大学 机械工程与自动化学院， 辽宁 沈阳110819)
  • 收稿日期:2013-11-06 修回日期:2013-11-06 出版日期:2014-12-15 发布日期:2014-09-12
  • 通讯作者: 马廉洁
  • 作者简介:马廉洁(1970-)，男，内蒙古赤峰人，东北大学副教授； 巩亚东(1958-)，男，辽宁本溪人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(51275083).

Numerical Simulation of Cutting Force Based on GA and DEFORM in Turning Ceramics

MA Lian-jie1,2， LI Chen1， CAO Xiao-bing1， GONG Ya-dong2   

  1. 1. School of Control Engineering， Northeastern University at Qinhuangdao， Qinhuangdao 066004， China; 2. School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China.
  • Received:2013-11-06 Revised:2013-11-06 Online:2014-12-15 Published:2014-09-12
  • Contact: MA Lian-jie
  • About author:-
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摘要： 通过有限元仿真及材料本构模型修正、遗传算法优化、数值模拟以及车削试验，研究了车削陶瓷材料切削力变化规律.有限元仿真成屑对比结果表明，经典的Johnson-Cook模型的切屑为连续片状，与实际加工不符；模型改进后，其仿真切屑为块状崩碎屑，对陶瓷材料有限元仿真较为适用.依据简单单因素有限元仿真数据，利用最小二乘法进行了一元回归数值拟合，获得了切削力与单一参数的解析式，相关系数检验结果表明模型具有较高的精度.利用遗传优化算法，建立了切削力多元模型.通过单因素试验、正交试验进行了多元模型验证，结果表明该模型能够准确反映切削力变化规律，具有较好的可靠性.

关键词: 切削力, 数值模拟, 遗传算法, 有限元仿真, 车削, 工程陶瓷

Abstract: Through the modification of constitutive model， finite element simulation， optimization of genetic algorithm， numerical simulations and experimental， the law of cutting force was studied in turning ceramics. Based on finite element simulation， chip formation mechanism indicates the chip was continuous layered applying classical Johnson-Cook model， and it did not accord with cutting experiment. After improving the model， the chip was crack-chip in the finite element simulation， and it was applicable for cutting ceramics. Based on least squares method， the monadic regression was carried out according to simulation data of simple single factor， and the analytical equation was obtained on cutting force with changing a single parameter. Correlation coefficient test indicated that the precision of improved model was high. The multivariate model of cutting force was established by genetic optimization algorithm. The multivariate model was verified by single factor and orthogonal tests， and the results indicated the model was accurate to present the law of cutting force and reliable.

Key words: cutting force, numerical simulation, genetic algorithm, finite element simulation, turning, engineering ceramics

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