Simulation Study on Cutting Force of SiCp /Al Composite

Authors

Jinfeng Wang, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;
Jiulan Zhao, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;
Kaiyu Chu, School of Energy, Power and Mechanical Engineering, North China Electric Power University, Baoding 071003, China;

Abstract

Abstract: This paper studies the formation mechanism of cutting force of SiCp / Al composite based on the processing parameters from the turning experiment, and explains the effect of cutting parameters on the cutting force of SiCp/Al composite such as cutting speed and cutting depth. To further investigate the influence of cutting parameters on cutting force, this paper conducts cutting force simulation of SiCp/Al composite based on ABAQUS, and verifies the accuracy and feasibility of the simulation by comparing with turning experimental results. The S/N ratio and variance of cutting force are analyzed using Taguchi methods. The results show that the simulation study is accurate because of the consistency of simulation and turning experiment. The simulation can be further used for studying the impact of cutting parameters of cutting force in a wider range, and the finite element simulation combined with Taguchi method can be more accurate for optimizing the cutting parameters.

Recommended Citation

Wang, Jinfeng; Zhao, Jiulan; and Chu, Kaiyu (2019) "Simulation Study on Cutting Force of SiCp /Al Composite," Journal of System Simulation: Vol. 30: Iss. 4, Article 44.
DOI: 10.16182/j.issn1004731x.joss.201804044
Available at: https://dc-china-simulation.researchcommons.org/journal/vol30/iss4/44

First Page

1566

Revised Date

2016-08-22

DOI Link

https://doi.org/10.16182/j.issn1004731x.joss.201804044

Last Page

1571

CLC

TG506

Recommended Citation

Wang Jinfeng, Zhao Jiulan, Chu Kaiyu. Simulation Study on Cutting Force of SiCp /Al Composite[J]. Journal of System Simulation, 2018, 30(4): 1566-1571.

DOI

10.16182/j.issn1004731x.joss.201804044