Multi-objective Optimization of Milling Parameters for Carbon Fiber Reinforced Polymer Based on MOEA / D

DOI: https://doi.org/10.62517/jiem.202303410

Author(s)

Xiaoqiu Huang1,*, Fan Kou1, Zhijie Wang2

Affiliation(s)

1Training Center for Engineering Practice, Northwestern Polytechnical University, Xi’an, Shaanxi, China 2Institute of Process Materials Technology, Inner Mongolia North Heavy Industries Group Corp. Ltd, Baotou, Inner Mongolia, China *Corresponding Author.

Abstract

In order to study the optimal milling parameters of carbon fiber reinforced polymer, this paper takes carbon fiber composite unidirectional plate as the research object, and the effects of cutting parameters on cutting forces and surfaces roughness were analyzed by high-speed cutting experiments. Experimental tests have validated the effectiveness of high speed cutting in reducing cutting forces, improving cutting efficiency, and improving machined surface quality. With the minimum surface roughness and maximum material removal rate as optimization goals, and the spindle speed, feed speed, and radial feed as design variables, the MOEA/D algorithm is used for multi objective optimization on, and to give the optimal solution set of carbon fiber composite milling.

Keywords

CFRP; High Speed Cutting; Cutting Force; Surface Roughness; Cutting Parameters; Multi-objective Optimization

References

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