中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Optimization of the welding process parameters of Mg-5Gd-3Y magnesium alloy plates with a hybrid Kriging and particle swarm optimization algorithm

文献类型:期刊论文

作者Ma, Xiaoying1; Sun, Zhili1; Cui, Peng2; Wu, Junwei3
刊名PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART C-JOURNAL OF MECHANICAL ENGINEERING SCIENCE
出版日期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
DOI10.1177/0954406217747911
通讯作者Sun, Zhili(zhilisun15@163.com)
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.
WOS研究方向Engineering
语种英语
WOS记录号WOS:000446861900003
出版者SAGE PUBLICATIONS LTD
源URL[http://ir.imr.ac.cn/handle/321006/129850]  
专题金属研究所_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.

入库方式: OAI收割

来源:金属研究所

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