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

CORC > 金属研究所 > 中国科学院金属研究所

	Optimization of the welding process parameters of Mg-5Gd-3Y magnesium alloy plates with a hybrid Kriging and particle swarm optimization algorithm
	Ma, XY ; Sun, ZL ; Cui, P 1; Wu, JW
刊名	PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
	2018-11-01
卷号	232 期号:22 页码:4038-4048
关键词	Tungsten inert gas welding welding parameters magnesium alloy Kriging particle swarm optimization
ISSN号	0954-4062
DOI	10.1177/0954406217747911
英文摘要	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.
学科主题	Engineering, Mechanical
语种	英语
WOS记录号	WOS:000446861900003
内容类型	期刊论文
源URL	[http://ir.imr.ac.cn/handle/321006/79860]
专题	金属研究所_中国科学院金属研究所
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, XY,Sun, ZL,Cui, P,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, XY,Sun, ZL,Cui, P,&Wu, JW.(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, XY,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.