Optimisation of machining parameters in high speed milling process of woven CFRP

被引：0

作者：

Ning H. ^{[1
]}

Zheng H. ^{[1
]}

Ma X. ^{[2
]}

机构：

[1] School of Mechatronic Engineering, Southwest Petroleum University, Chengdu

[2] City College of Southwest University of Science and Technology, Sichuan Province, Mianyang

来源：

International Journal of Machining and Machinability of Materials | 2022年 / 24卷 / 05期

关键词：

average surface roughness; carbon fibre reinforced composite material; CFRP; milling force; milling processing; optimisation analysis;

D O I：

10.1504/ijmmm.2022.126593

中图分类号：

学科分类号：

摘要：

A new high-speed milling cutter was used to carry out the milling experiment of woven CFRP. The influence of feed speed, rotation speed, milling width and their interaction on the milling force and the average surface roughness of the workpiece was studied by using the analysis of variance method. Based on the results of the analysis of variance, the response surface method was used to establish prediction models of milling force and average surface roughness. Taking the maximum material removal rate as the optimisation target, and the milling force and average surface roughness as constraints, the genetic algorithm was used to optimise the milling parameters. The results showed that when the maximum allowable surface roughness is 0.50 μm, 0.65 μm and 0.8 μm, the material removal rate increases by 104.3%, 14.9% and 25.0%, which proves the validity of the optimised results. Copyright © 2022 Inderscience Enterprises Ltd.

引用

页码：358 / 369

页数：11

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