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Author:

Li, M. (Li, M..) | Gao, F. (Gao, F..) | Jin, M. (Jin, M..) | Sun, B. (Sun, B..) | Liu, Y. (Liu, Y..) | Gong, X. (Gong, X..) | Nie, Z. (Nie, Z..)

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EI Scopus SCIE

Abstract:

Traditional material design focuses primarily on performance, properties, structure, and synthesis. Growing environmental awareness necessitates the integration of sustainability considerations into material design and selection. This paper introduced an approach that embeds the eco-design method within material comparison to balance performance requirements and environmental sustainability. Five types of aluminum alloys were examined to demonstrate and validate the proposed method. The alloys are commonly used in shipbuilding and have varying contents of the rare earth element Erbium. The alloys were assessed through a performance-requirement matrix, life cycle assessment, and exergy calculation to evaluate their performance, environmental impact, and resource consumption. A binary integrated decision model was created to compare the five alloys based on either their performance and environmental impact or their performance and resource consumption. Additionally, ternary integrated decision models were formulated to yield a comprehensive analysis of the five alloys, considering all three aforementioned factors. A matrix model was established to allow for comparative assessment no matter how many indicators are involved. Furthermore, a model based on the enumeration method was presented to mitigate the bias introduced by weighting factors. This methodological approach aids in selecting the most suitable alloys for diverse scenarios, thereby enhancing the sustainability of material design. © 2024 Elsevier Ltd

Keyword:

Green design Industrial ecology Exergy Life cycle assessment Aluminum alloy Rare earth element

Author Community:

  • [ 1 ] [Li M.]National Engineering Laboratory for Industrial Big-data Application Technology, College of Material Science and Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 2 ] [Li M.]Department of Industrial and Systems Engineering and Institute for a Secure and Sustainable Environment, The University of Tennessee, Knoxville, 37996, TN, United States
  • [ 3 ] [Gao F.]National Engineering Laboratory for Industrial Big-data Application Technology, College of Material Science and Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 4 ] [Jin M.]Department of Industrial and Systems Engineering and Institute for a Secure and Sustainable Environment, The University of Tennessee, Knoxville, 37996, TN, United States
  • [ 5 ] [Sun B.]National Engineering Laboratory for Industrial Big-data Application Technology, College of Material Science and Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 6 ] [Liu Y.]National Engineering Laboratory for Industrial Big-data Application Technology, College of Material Science and Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 7 ] [Gong X.]National Engineering Laboratory for Industrial Big-data Application Technology, College of Material Science and Engineering, Beijing University of Technology, Beijing, 100124, China
  • [ 8 ] [Nie Z.]National Engineering Laboratory for Industrial Big-data Application Technology, College of Material Science and Engineering, Beijing University of Technology, Beijing, 100124, China

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Source :

Journal of Cleaner Production

ISSN: 0959-6526

Year: 2024

Volume: 482

1 1 . 1 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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