东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2019, Vol. 40 ›› Issue (9): 1316-1322.DOI: 10.12068/j.issn.1005-3026.2019.09.018

• 机械工程 • 上一篇    下一篇

球头铣刀切削刃存在差异的切削力系数辨识

黎柏春1， 王振宇1， 张斌2， 王宛山1   

  1. (1. 东北大学 机械工程与自动化学院， 辽宁 沈阳110819; 2. 东北大学 计算机科学与工程学院， 辽宁 沈阳110169)
  • 收稿日期:2018-09-17 修回日期:2018-09-17 出版日期:2019-09-15 发布日期:2019-09-17
  • 通讯作者: 黎柏春
  • 作者简介:黎柏春(1986-)，男，重庆人，东北大学讲师，博士； 张斌(1964-)，男，辽宁沈阳人，东北大学教授，博士生导师； 王宛山(1946-)，男，辽宁沈阳人，东北大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金青年基金资助项目(51505072); 中央高校基本科研业务费专项资金资助项目(N160303001， N150306001，N182303034).

Identification of Cutting Force Coefficients in Different Cutting Edges of Ball-End Milling Cutter

LI Bai-chun1， WANG Zhen-yu1， ZHANG Bin2， WANG Wan-shan1   

  1. 1. School of Mechanical Engineering & Automation， Northeastern University， Shenyang 110819， China; 2. School of Computer Science & Engineering， Northeastern University， Shenyang 110169， China.
  • Received:2018-09-17 Revised:2018-09-17 Online:2019-09-15 Published:2019-09-17
  • Contact: LI Bai-chun
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摘要： 为了准确辨识得到球头铣刀切削刃存在差异的切削力系数，提出结合平均铣削力方法和粒子群优化算法的辨识方法.首先，建立球头铣刀的铣削力模型，推导基于平均铣削力且忽略切削刃差异的切削力系数辨识模型.然后，以基于平均铣削力方法辨识得到的切削力系数为初值、最小化铣削力仿真结果和测量结果的偏差平方和为目标，引入修正系数为设计变量，设计基于粒子群优化的切削力系数修正算法.最后，进行仿真和实验验证，相关结果表明采用修正后的切削力系数不仅能准确地预测切削刃存在差异的铣削力峰值，而且具有更好的吻合度和精度.

关键词: 球头铣刀, 切削力系数, 铣削力, 系数辨识, 粒子群优化

Abstract: In order to determine cutting force coefficients of a ball-end milling cutter， in which cutting edges have differences， a new method combining the average milling force method with particle swarm optimization(PSO)was proposed. Firstly， the milling force models and the identification models based on the average milling force method are constructed ignoring the differences of cutting edges. Then， the algorithm for searching more accurate cutting force coefficients based on PSO was given. The algorithm uses the coefficients obtained by the average milling force method as initial values， correction factors of cutting force coefficients as design parameters， and sum of squared deviations between the minimum cutting force of simulation and experiment as objective function. Finally， a series of simulations and experiments are performed. The results show that the predicted milling forces with corrected cutting force coefficients have a better consistency with measured forces.

Key words: ball-end milling cutter, cutting force coefficients, milling forces, coefficient identification, particle swarm optimization(PSO)

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