东北大学学报(自然科学版) ›› 2025, Vol. 46 ›› Issue (3): 80-87.DOI: 10.12068/j.issn.1005-3026.2025.20230275

• 机械工程 • 上一篇    下一篇

考虑铣削表面形貌的工艺参数可靠性优化

黄贤振1,2(), 王旭1, 丁鹏飞1, 姜智元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 航空动力装备振动及控制教育部重点实验室,辽宁 沈阳 110819
  • 收稿日期:2023-09-26 出版日期:2025-03-15 发布日期:2025-05-29
  • 通讯作者: 黄贤振
  • 作者简介:黄贤振(1982—), 男, 山东定陶人, 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(51975110);辽宁省应用基础研究计划项目(2023JH2/101300160)

Reliability Optimization of Process Parameters Considering Milling Surface Morphology

Xian-zhen HUANG1,2(), Xu WANG1, Peng-fei DING1, Zhi-yuan JIANG1   

  1. 1.School of Mechanical Engineering & Automation,Northeastern University,Shenyang 110819,China
    2.Key Laboratory of Vibration and Control of Aero-Propulsion Systems,Ministry of Education,Northeastern University,Shenyang 110819,China. cn
  • Received:2023-09-26 Online:2025-03-15 Published:2025-05-29
  • Contact: Xian-zhen HUANG
  • About author:HUANG Xian-zhen E-mail: xzhhuang@mail.neu.edu.cn

摘要:

针对球头铣削过程进行研究,旨在完成铣削工艺参数的可靠性优化.首先,根据球头铣刀切削刃运动轨迹,利用Z映射(Z-MAP)算法对加工形成的表面形貌进行仿真,引入表面粗糙度(Ra)衡量加工后的表面质量,通过表面形貌分析实验验证表面形貌仿真模型的准确性;然后,考虑到铣削过程中加工表面质量、刀具使用寿命以及工艺参数不确定性的实际约束条件,建立以主轴转速、刀具进给速度、轴向切深、径向切深为优化变量,以材料去除率(Q)的最大化为优化目标的工艺参数可靠性优化模型;最后,基于灰狼优化算法对优化模型进行求解以获得最优工艺参数,并通过铣削实验验证优化结果的可行性.

关键词: 球头铣刀, Z-MAP算法, 表面形貌, 表面粗糙度, 灰狼优化算法, 可靠性优化

Abstract:

Research is conducted on the ball end milling process with the aim of achieving reliable optimization of milling process parameters. Firstly, according to the motion trajectory of the ball end mill cutting edge, the surface morphology formed during machining is simulated using the Z-mapping (Z-MAP) algorithm, and the surface roughness (Ra) is introduced to measure the surface quality after machining. The accuracy of the surface morphology simulation model is validated through surface morphology analysis experiments. Then, considering the actual constraint conditions of the machining surface quality, the tool service life, and the uncertainty of process parameters during the machining process, a reliability optimization model for process parameters is established with spindle rotation speed, tool feed rate, axial cutting depth and radial cutting depth as the optimization variables, and maximizing the material removal rate (Q) as the optimization objective. Finally, the optimization model is solved using the grey wolf optimization algorithm to obtain the optimal process parameters, and the feasibility of the optimized results is verified through milling experiments.

Key words: ball end mill, Z-MAP algorithm, surface morphology, surface roughness, grey wolf optimization algorithm, reliability optimization

中图分类号: