Optimization and GRA prediction of Al–Cu pulsed laser welding process based on RSM

Author:

Qin Xueqian1,Zhao Yaowu1,Wang Yao1,Zeng Junjie1,Zhou Liao1ORCID,Ge Jinguo1,Liu Qingyuan1,Zhou Jia1,Long Yuhong1

Affiliation:

1. Guangxi Key Laboratory of Manufacturing Systems and Advanced Manufacturing Technology, School of Mechanical and Electrical Engineering, Guilin University of Electronic Technology , Guilin, Guangxi 541004, China

Abstract

In this paper, the process parameters of pulsed laser welding of Al–Cu are studied using response surface methodology (RSM) and grey relation analysis (GRA) to propose optimal directions for lap-shear strength of the joints. A single-factor experiment was conducted to find the suitable process parameter windows. The RSM models were established and analyzed with laser power, welding speed, pulse width, and frequency as inputs and joint lap shear, interfacial weld width, and weld-penetration-depth as outputs. With the use of GRA of interfacial weld width and weld penetration depth with the lap-shear force of joints, the improved direction for the lap-shear force of joints can be proposed.

Funder

Natural Science Foundation of Guangxi Zhuang Autonomous Region

Guangxi Science and Technology Base and Talent Project

National Natural Science Foundation of China

Guangxi Key Laboratory of Manufacturing Systems and Advanced Manufacturing Technology

Guangxi Young Teacher Education Project

Innovation Project of Guangxi Graduate Education

Supported by GUET Excellent Graduate Thesis Program

Innovation Project of GUET Graduate Education

Publisher

Laser Institute of America

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