机械工程

刀具非对称刃口瞬时铣削力建模与实验研究

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  • 贵州大学 机械工程学院,贵州 贵阳 550025
赵雪峰(1979-),女,博士,副教授,主要从事先进制造技术及工艺研究。

收稿日期: 2020-12-29

  修回日期: 2021-03-24

  网络出版日期: 2021-04-06

基金资助

国家自然科学基金资助项目(51665007,52065012);贵州省“千层次”创新型人才项目(黔财教[2018]190)


Experiment and modeling of the instantaneous milling force for asymmetric edge

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  • School of Mechanical Engineering, Guizhou University, Guiyang 550025, Guizhou, China
赵雪峰(1979-),女,博士,副教授,主要从事先进制造技术及工艺研究。

Received date: 2020-12-29

  Revised date: 2021-03-24

  Online published: 2021-04-06

Supported by

Supported by the National Natural Science Foundation of China(51665007,52065012)

摘要

刀具钝化能够提高刀具的寿命、切削过程的稳定性和已加工表面的质量。刀具钝化的刃口并非规则的圆弧;采用将切削刃轴向离散化为微元切削刃的方法,基于滑移线场基本理论,综合考虑犁耕力随切削厚度的变化及非对称刃口剪切的特点,指出了非对称刃口刀具切削过程中所经历的不同切削阶段,并建立刀具非对称刃口瞬时铣削力模型,最后结合铣削实验进行对比分析。结果表明:在整个切削过程,随着切削厚度的增大,犁耕力所占比重逐渐减小;根据模型所得的铣削过程力与实验结果吻合较好,二者相关系数均大于0.7,平均误差在5%以下,峰值误差也低于15%。

本文引用格式

赵雪峰, 杨勇, 秦浩, 等 . 刀具非对称刃口瞬时铣削力建模与实验研究[J]. 华南理工大学学报(自然科学版), 2021 , 49(12) : 69 -78,112 . DOI: 10.12141/j.issn.1000-565X.200787

Abstract

Passivation can improve the service life of the cutter, the stability of the cutting process and the quality of the machined surface. The edge of passivated cutter is not a regular arc. This paper used the method of discretizing the cutting edge axially into micro element cutting edge and was based on the basic theory of slip line field. Comprehensively considering the variation of ploughing force with cutting thickness and the characteristics of asymmetric edge shear, it pointed out the different cutting stages experienced in the cutting process of asymmetric edge cutter, and established the instantaneous milling force model of asymmetric edge cutter. Finally, a comparative analysis was carried out combining with milling experiments. The results show that the proportion of ploughing force decreases with the increase of cutting thickness in the whole cutting process; the milling force obtained from the model well accords with the experimental results. The correlation coefficient of the two is greater than 0.7, the ave-rage error is less than 5%, and the peak error is less than 15%. 
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