Optimization of the welding process parameters of Mg-5Gd-3Y magnesium alloy plates with a hybrid Kriging and particle swarm optimization algorithm

doi:10.1177/0954406217747911

IMR OpenIR

	Optimization of the welding process parameters of Mg-5Gd-3Y magnesium alloy plates with a hybrid Kriging and particle swarm optimization algorithm
	Ma, Xiaoying 1; Sun, Zhili 1; Cui, Peng 2; Wu, Junwei 3
通讯作者	Sun, Zhili(zhilisun15@163.com)
	2018-11-01
发表期刊	PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
ISSN	0954-4062
卷号	232 期号:22 页码:4038-4048
摘要	Selecting suitable welding process parameters to obtain optimal mechanical properties of the weld bead in AC gas tungsten arc welding is of vital importance. This paper presents a combination method of the Kriging model and particle swarm optimization for optimizing welding process parameters to achieve the optimum mechanical properties, such as the tensile strength and micro-hardness, of the weld bead in AC gas tungsten arc welding of GW53 magnesium alloy plates. The Taguchi orthogonal array is first employed to construct a database including the input process parameters (welding speed, welding current, and protection gas flow) and the responses (the tensile strength and micro-hardness of the weld joint). Then, the Kriging model is used to establish the relationships between the input process parameters and the responses. The optimal mechanical properties of the weld bead corresponding to the welding process parameters are obtained by the proposed hybrid Kriging and particle swarm optimization algorithm. Finally, the effectiveness of the proposed method is verified by contrasting the mechanical properties, such as the tensile strength and the average micro-hardness, in the welding base metal and the weld bead. Furthermore, the main reasons for the decrease in the mechanical properties of welded plates are described in this paper.
关键词	Tungsten inert gas welding welding parameters magnesium alloy Kriging particle swarm optimization
DOI	10.1177/0954406217747911
收录类别	SCI
语种	英语
WOS研究方向	Engineering
WOS类目	Engineering, Mechanical
WOS记录号	WOS:000446861900003
出版者	SAGE PUBLICATIONS LTD
引用统计	被引频次：3[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.imr.ac.cn/handle/321006/129849
专题	中国科学院金属研究所
通讯作者	Sun, Zhili
作者单位	1.Northeastern Univ, Sch Mech Engn & Automat, Shenyang 110819, Liaoning, Peoples R China 2.BMW Brilliance Automot Ltd, Shenyang, Liaoning, Peoples R China 3.Chinese Acad Sci, Inst Met Res, Shenyang, Liaoning, Peoples R China
推荐引用方式 GB/T 7714	Ma, Xiaoying,Sun, Zhili,Cui, Peng,et al. Optimization of the welding process parameters of Mg-5Gd-3Y magnesium alloy plates with a hybrid Kriging and particle swarm optimization algorithm[J]. PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE,2018,232(22):4038-4048.
APA	Ma, Xiaoying,Sun, Zhili,Cui, Peng,&Wu, Junwei.(2018).Optimization of the welding process parameters of Mg-5Gd-3Y magnesium alloy plates with a hybrid Kriging and particle swarm optimization algorithm.PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE,232(22),4038-4048.
MLA	Ma, Xiaoying,et al."Optimization of the welding process parameters of Mg-5Gd-3Y magnesium alloy plates with a hybrid Kriging and particle swarm optimization algorithm".PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE 232.22(2018):4038-4048.