Selection of sustainable materials for additive manufacturing processes: a hybrid AHP-DEMATEL approach

被引：0
作者：
Dwivedi, Ashish [1 ]
Parihar, Siddharth [2 ]
Agrawal, Rajeev [3 ]
Zhou, Fuli [4 ,5 ,6 ]
Pratap, Saurabh [7 ]
机构：
[1] Operations Management and Decision Sciences, Jindal Global Business School, O.P. Jindal Global University, Sonipat
[2] Department of Mechanical Engineering, Indian Institute of Information Technology, Design and Manufacturing, Jabalpur
[3] Department of Mechanical Engineering, Malaviya National Institute of Technology, Jaipur
[4] College of Economics and Management, Zhengzhou University of Light Industry, Zhengzhou
[5] Shenzhen CIMC Intelligent Technology CO, Shenzhen
[6] School of Automation Science and Engineering, South China University of Technology, Guangzhou
[7] Department of Mechanical Engineering, Indian Institute of Technology (BHU), Varanasi
来源：
International Journal of Industrial and Systems Engineering | 2024年 / 48卷 / 04期
关键词：
additive manufacturing; AHP; DEMATEL; Nickel Superalloys; PLS; polymer laser sintering;
D O I：
10.1504/IJISE.2024.143704
中图分类号：
学科分类号：
摘要：
Additive manufacturing (AM) is vital to medical, aerospace, food, and automotive manufacture. AM makes complex products. Sustainable materials that enable cleaner manufacturing and reuse are essential in this fast-changing globalised environment. Polymers and nickel superalloys are employed in AM to meet these needs. This study uses an analytical hierarchy process (AHP) and decision-making trial evaluation and laboratory methodology (DEMATEL) to evaluate polymer laser sintering (PLS) and nickel-based superalloy for different AM procedures. DEMATEL’s findings will show a link between PLS criteria and nickel-based superalloys. This study conducts two case studies. AHP and DEMATEL techniques weight material cost as the most essential parameter for both case studies. In the PLS case study, polycarbonate is the most sustainable material, and based on weightage, INCONEL 718 is the most sustainable nickel-based superalloy. Two case studies will demonstrate criterion interdependence and score the material. The study’s findings can help AM technology material selection. Copyright © 2024 Inderscience Enterprises Ltd.
引用
收藏
页码：531 / 555
页数：24
相关论文
共 63 条
  • [1] Advincula R.C., Dizon J.R.C., Chen Q., Niu I., Chung J., Kilpatrick L., Newman R., Additive manufacturing for COVID-19: devices, materials, prospects, and challenges, MRS Communications, 10, 3, pp. 413-427, (2020)
  • [2] Afshari H., Searcy C., Jaber M.Y., The role of eco-innovation drivers in promoting additive manufacturing in supply chains, International Journal of Production Economics, 223, (2020)
  • [3] Agrawal R., Sustainable material selection for additive manufacturing technologies: a critical analysis of rank reversal approach, Journal of Cleaner Production, 296, (2021)
  • [4] Ahuja B., Karg M., Schmidt M., Additive manufacturing in production: challenges and opportunities, Laser 3D Manufacturing II, 9353, (2015)
  • [5] Alghamdy M., Ahmad R., Alsayyed B., Material selection methodology for additive manufacturing applications, Procedia CIRP, 84, pp. 486-490, (2019)
  • [6] Ardil C., Airline quality rating using PARIS and TOPSIS in multiple criteria decision making analysis, International Journal of Industrial and Systems Engineering, 15, 12, pp. 516-523, (2021)
  • [7] Ashby M.F., Cebon D., Materials selection in mechanical design, Le Journal de Physique IV, 3, C7, pp. C7-1, (1993)
  • [8] Bahnini I., Rivette M., Rechia A., Siadat A., Elmesbahi A., Additive manufacturing technology: the status, applications, and prospects, The International Journal of Advanced Manufacturing Technology, 97, 1, pp. 147-161, (2018)
  • [9] Baldassarre F., Ricciardi F., The additive manufacturing in the Industry 4.0 Era: the case of an Italian FabLab, Journal of Emerging Trends in Marketing and Management, 1, 1, pp. 105-115, (2017)
  • [10] Bikas H., Lianos A.K., Stavropoulos P., A design framework for additive manufacturing, The International Journal of Advanced Manufacturing Technology, 103, 9, pp. 3769-3783, (2019)
1234567