Parameters optimization of hybrid fiber laser-arc butt welding on 316L stainless steel using Kriging model and GA

被引：63

作者：

Gao, Zhongmei ^{[1
]}

Shao, Xinyu ^{[1
]}

Jiang, Ping ^{[1
]}

Cao, Longchao ^{[1
]}

Zhou, Qi ^{[1
]}

Yue, Chen ^{[1
]}

Liu, Yang ^{[1
]}

Wang, Chunming ^{[2
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Mech Sci & Engn, State Key Lab Digital Mfg Equipment & Technol, Wuhan 430074, Peoples R China

[2] Huazhong Univ Sci & Technol, Sch Mat Sci & Engn, Wuhan 430074, Peoples R China

来源：

OPTICS AND LASER TECHNOLOGY | 2016年 / 83卷

基金：

中国国家自然科学基金;

关键词：

Laser-arc hybrid welding; Weld geometry; Optimization; Kriging model; GA; MULTIRESPONSE OPTIMIZATION; NEURAL-NETWORKS; BEAD GEOMETRY; RSM; ANN;

D O I：

10.1016/j.optlastec.2016.04.001

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

It is of great significance to select appropriate welding process parameters for obtaining optimal weld geometry in hybrid laser-arc welding. An integrated optimization approach by combining Kriging model and GA is proposed to optimize process parameters. A four-factor, five-level experiment using Taguchi L-25 is conducted considering laser power (P), welding current (A), distance between laser and arc (D) and traveling speed (V). Kriging model is adopted to approximate the relationship between process parameters and weld geometry, namely depth of penetration (DP), bead width (BW) and bead reinforcement (BR). The constructed Kriging model was used for parameters optimization by GA to maximize DP, minimize BW and ensure BR at a desired value. The effects of process parameters on weld geometry are analyzed. Microstructure and micro-hardness are also discussed. Verification experiments demonstrate that the obtained optimum values are in good agreement with experimental results. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：153 / 162

页数：10

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