Towards energy and material efficient laser cladding process: Modeling and optimization using a hybrid TS-GEP algorithm and the NSGA-II
Peng, Shitong1,4; Li, Tao1; Zhao, Jiali2; Lv, Shengping3; Tan, George Z.4; Dong, Mengmeng1; Zhang, Hongchao1,4
2019-08
发表期刊JOURNAL OF CLEANER PRODUCTION
ISSN0959-6526
卷号227页码:58-69
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.
关键词Parameter optimization Additive manufacturing Gene expression programming Tabu search Multi-objective optimization
DOI10.1016/j.jclepro.2019.04.187
收录类别SCI ; SCIE
语种英语
资助项目Natural Science Foundation of Guangdong, China[2014A030310345]
WOS研究方向Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
WOS类目Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS记录号WOS:000470939600006
出版者ELSEVIER SCI LTD
EI入藏号20191806852349
EI主题词Laser materials processing
EI分类号461.9 Biology - 525.3 Energy Utilization - 744.9 Laser Applications - 745.1.1 Printing Equipment - 803 Chemical Agents and Basic Industrial Chemicals - 921.5 Optimization Techniques
引用统计
被引频次:35[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/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
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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.
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