激光辅助球头磁流变抛光表面粗糙度预测模型

doi:10.3901/JME.2022.15.166

机械工程学报 ›› 2022, Vol. 58 ›› Issue (15): 166-176.doi: 10.3901/JME.2022.15.166

• 特邀专栏：先进磨粒加工技术 • 上一篇下一篇

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激光辅助球头磁流变抛光表面粗糙度预测模型

乔国朝, 戴立达, 张争艳

河北工业大学机械工程学院天津 300401

收稿日期:2021-09-03 修回日期:2021-10-25 发布日期:2022-10-13
通讯作者: 张争艳(通信作者),男,1984年出生,博士,副教授,硕士生导师。主要研究方向为增材制造和智能机器人。E-mail:zzy@hebut.edu.cn
作者简介:乔国朝,男,1979年出生,博士,讲师,硕士研究生导师。主要研究方向为精密加工和绿色制造。E-mail:gcqiao@hebut.edu.cn
基金资助:
国家重点研发计划（2018YFB1107600）、国家自然科学基金（61802108）和天津市自然科学基金（19JCYBJC18900）资助项目。

Predictive Model of Surface Roughness of Laser-assisted Magnetorheological Finishing with Spherical Tool

QIAO Guochao, DAI Lida, ZHANG Zhengyan

School of Mechanical Engineering, Hebei University of Technology, Tianjin 300401

Received:2021-09-03 Revised:2021-10-25 Published:2022-10-13

摘要/Abstract

摘要： 为实现激光辅助球头磁流变抛光表面粗糙度预测，对永磁球形抛光头的磁场强度进行了仿真分析，基于流固耦合传热理论，分析了激光温度场对抛光区磨粒的磁浮力及流体动压力的影响规律，建立了正压力的数学表达式，获得了正压力与磨粒侵入深度之间的关系。结合磨粒的运动学分析，提出了加工表面形貌的重构算法，建立了加工表面粗糙度的预测模型并进行了试验验证，进一步揭示了工艺参数对加工表面粗糙度的影响规律。结果表明：激光辅助磁流变抛光能有效降低加工表面粗糙度；激光功率、主轴转速、抛光间隙与表面粗糙度之间均非单调递增或递减的关系，在试验所选参数范围内均存在一个最优值。对比表面粗糙度的试验结果和预测结果，两者具有很好的一致性，最大预测误差为16.3%。

关键词: 激光辅助, 磁流变抛光, 表面粗糙度, 预测模型

Abstract: To realize the prediction of surface roughness of laser-assisted magnetorheological finishing with spherical tool, the magnetic field intensity of permanent magnet spherical polishing head is analyzed by using finite element simulation.Based on fluid-solid coupling heat transfer theory, the effects of laser temperature field on the magnetic buoyancy and hydrodynamic pressure are analyzed, and the mathematical equations of normal pressure are established, furthermore, the relationship between normal pressure and intruded depth of abrasive is gained.Combining with the kinematic analysis of abrasive, a reconstruction algorithm of machined surface topography is proposed, and then the predictive model of machined surface roughness is established and certified by experiments, moreover, the effect of procession parameters on machined surface roughness is revealed.The results indicate that laser-assisted magnetorheological finishing can effectively reduce surface roughness, and the relationship between laser power and surface roughness is not monotonically increasing or decreasing as well as spindle speed and polishing gap to surface roughness.Within the value range of parameters in experiments, there is an optimal value for each parameter.Comparing experimental results with predictive results, there is a good agreement, and the maximum prediction error is 16.3%.

Key words: laser-assisted, magnetorheological polishing, surface roughness, predictive model

中图分类号:

TH161

乔国朝, 戴立达, 张争艳. 激光辅助球头磁流变抛光表面粗糙度预测模型[J]. 机械工程学报, 2022, 58(15): 166-176.

QIAO Guochao, DAI Lida, ZHANG Zhengyan. Predictive Model of Surface Roughness of Laser-assisted Magnetorheological Finishing with Spherical Tool[J]. Journal of Mechanical Engineering, 2022, 58(15): 166-176.

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激光辅助球头磁流变抛光表面粗糙度预测模型

Predictive Model of Surface Roughness of Laser-assisted Magnetorheological Finishing with Spherical Tool

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