Towards energy and material efficient laser cladding process: Modeling and optimization using a hybrid TS-GEP algorithm and the NSGA-II

doi:10.1016/j.jclepro.2019.04.187

CORC > 兰州理工大学 > 兰州理工大学 > 机电工程学院

	Towards energy and material efficient laser cladding process: Modeling and optimization using a hybrid TS-GEP algorithm and the NSGA-II
	Peng, Shitong 1,4; Li, Tao 1; Zhao, Jiali 2; Lv, Shengping 3; Tan, George Z.4; Dong, Mengmeng 1; Zhang, Hongchao 1,4
刊名	JOURNAL OF CLEANER PRODUCTION
	2019-08
卷号	227 页码:58-69
关键词	Parameter optimization Additive manufacturing Gene expression programming Tabu search Multi-objective optimization
ISSN号	0959-6526
DOI	10.1016/j.jclepro.2019.04.187
英文摘要	The soaring global additive manufacturing (AM) market implies considerable potentials of energy and material savings. However, very few researches have addressed the energy and material efficiency issue in AM process through processing parameters optimization. In this study, we developed a predictive model of specific energy consumption (SEC) and metallic powder usage rate in laser cladding process. Three approaches were adopted to perform the modeling, namely, basic gene expression programming (GEP), response surface methodology (RSM), and integrated Tabu search and GEP (TS-GEP). Comparison amongst these methods revealed that TS-GEP demonstrated the highest fitting performance in terms of the root mean square deviation (RMSD) and coefficient of determination (R-2). The experimental validation showed that TS-GEP enabled high robustness and precision of the modeling even though the accuracy of prediction was slightly lower than that of RSM in some cases. Analysis of variance was conducted to examine the contribution of the processing parameters. Results presented that the dominating factor was powder feed rate followed by laser power, Z-increment, and scanning speed irrespective of the interactive effects. With the predictive models, the Pareto front was determined by non-dominated sorting genetic algorithm II (NSGA-II) to provide the optimal set of processing parameters for the maximization of energy and metallic powder efficiency. This study would facilitate appropriate parameter selection of laser cladding process and assist the sustainable manufacturing in AM domain. (C) 2019 Elsevier Ltd. All rights reserved.
资助项目	Natural Science Foundation of Guangdong, China[2014A030310345]
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
语种	英语
出版者	ELSEVIER SCI LTD
WOS记录号	WOS:000470939600006
状态	已发表
内容类型	期刊论文
源URL	[http://119.78.100.223/handle/2XXMBERH/31695]
专题	机电工程学院
通讯作者	Li, Tao
作者单位	1.Dalian Univ Technol, Inst Sustainable Design & Mfg, Dalian, Peoples R China 2.Lanzhou Univ Technol, Sch Mech & Elect Engn, Lanzhou, Gansu, Peoples R China 3.South China Agr Univ, Coll Engn, Guangzhou, Guangdong, Peoples R China 4.Texas Tech Univ, Dept Ind Mfg & Syst Engn, Lubbock, TX 79409 USA
推荐引用方式 GB/T 7714	Peng, Shitong,Li, Tao,Zhao, Jiali,et al. Towards energy and material efficient laser cladding process: Modeling and optimization using a hybrid TS-GEP algorithm and the NSGA-II[J]. JOURNAL OF CLEANER PRODUCTION,2019,227:58-69.
APA	Peng, Shitong.,Li, Tao.,Zhao, Jiali.,Lv, Shengping.,Tan, George Z..,...&Zhang, Hongchao.(2019).Towards energy and material efficient laser cladding process: Modeling and optimization using a hybrid TS-GEP algorithm and the NSGA-II.JOURNAL OF CLEANER PRODUCTION,227,58-69.
MLA	Peng, Shitong,et al."Towards energy and material efficient laser cladding process: Modeling and optimization using a hybrid TS-GEP algorithm and the NSGA-II".JOURNAL OF CLEANER PRODUCTION 227(2019):58-69.