Parameters optimization for sustainable machining of Ti6Al4V using a novel high-speed dry electrical discharge milling

被引：28

作者：

Shen, Yang ^{[1
]}

Liu, Yonghong ^{[1
]}

Dong, Hang ^{[1
]}

Zhang, Kun ^{[2
]}

Lv, Lin ^{[3
]}

Zhang, Xianzhi ^{[1
]}

Zheng, Chao ^{[1
]}

Ji, Renjie ^{[1
]}

机构：

[1] China Univ Petr, Coll Mech & Elect Engn, 66 Changjiang West Rd, Qingdao 266580, Shandong, Peoples R China

[2] China Acad Launch Vehicle Technol, Capital Spaceflight Machinery Co, Beijing 100000, Peoples R China

[3] China Aerosp Sci & Technol Corp, China Acad Launch Vehicle Technol, Beijing 100000, Peoples R China

来源：

INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY | 2017年 / 90卷 / 9-12期

基金：

中国博士后科学基金;

关键词：

Ti6Al4V; Dry electrical discharge machining; Multi-objective optimization; Power consumption; Material removal rate; Gray relational theory; TITANIUM-ALLOY; ENERGY; EDM;

D O I：

10.1007/s00170-016-9600-6

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Cleaner production and sustainability are of crucial importance in the field of machining processes where great amount of energy is being consumed. This paper outlines the application of gray relational theory in order to optimize the machining parameters for Ti6Al4V in high-speed dry electrical discharge milling (EDM) using a tubular graphite electrode. The objective of optimization is to achieve simultaneously the minimum power consumption and the maximum material removal rate (MRR). The maximum MRR 5634 mm(3)/min was obtained with a power consumption of 7.61 kW. MRR stayed in the similar level, and power consumption was reduced by 17.82 % compared with that of the parameters in our previous study. Current is the main effect factor on MRR and power consumption. The corresponding single pulsed experiments were conducted to deeply explore the reasons for the influence of air pressure and electrode rotation speed on the MRR and power consumption.

引用

页码：2733 / 2740

页数：8

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