TY - JOUR
T1 - Cutting performance investigation based on the variable friction model by considering sliding velocity and limiting stress
AU - Li, Xin
AU - Shi, Zhenyu
AU - Duan, Ningmin
AU - Cui, Peng
AU - Zhang, Shuai
AU - Zhang, Xianzhi
PY - 2020/6/1
Y1 - 2020/6/1
N2 - 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.
AB - 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.
KW - Finite element method
KW - friction model
KW - machining
KW - stress distribution
KW - tool–chip contact length
UR - http://www.scopus.com/inward/record.url?scp=85081955379&partnerID=8YFLogxK
U2 - 10.1177/0954405420906640
DO - 10.1177/0954405420906640
M3 - Article
AN - SCOPUS:85081955379
VL - 234
SP - 1113
EP - 1123
JO - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
JF - Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture
SN - 0954-4054
IS - 8
ER -