Cutting performance investigation based on the variable friction model by considering sliding velocity and limiting stress

Xin Li, Zhenyu Shi, Ningmin Duan, Peng Cui, Shuai Zhang, Xianzhi Zhang

Research output: Contribution to journalArticle

Abstract

Fast and accurate cutting force prediction is still one of the most complex problems and challenges in the machining research community. In this study, a modified finite element model is presented to predict cutting force and cutting length in turning operations of AISI 1018. Unlike the existing research, in which the mean friction coefficient μ was taken, a variable friction coefficient μ involving the sliding velocity between chip and tool is presented in this article. The sticking–sliding friction model is adopted, and the maximum limiting stress in sticking region is calculated by considering the thermal softening and normal stress distribution. Experiments have been performed for machining AISI 1018 using tungsten carbide tool, and simulation results have been compared to experiments. The simulation results of the modified finite element model have shown better outputs in predicting cutting force, tangential force, and tool–chip contact length on the rake face. The results of this article not only are meaningful to optimize tool design and cutting parameters but also can provide a clear understanding of contact behavior between tool rake face and chip.

Original languageEnglish
Pages (from-to)1113-1123
Number of pages11
JournalProceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
Volume234
Issue number8
Early online date10 Mar 2020
DOIs
Publication statusPublished - 1 Jun 2020
Externally publishedYes

Fingerprint Dive into the research topics of 'Cutting performance investigation based on the variable friction model by considering sliding velocity and limiting stress'. Together they form a unique fingerprint.

  • Cite this