Design optimisation for hybrid metal additive manufacturing for sustainable construction

被引:7
作者
Baqershahi, Mohammad Hassan [1 ]
Ayas, Can [2 ]
Ghafoori, Elyas [1 ]
机构
[1] Leibniz Univ Hannover, Inst Steel Construct, Fac Civil Engn & Geodet Sci, D-30167 Hannover, Germany
[2] Delft Univ Technol, Fac Mech Maritime & Mat Engn, Dept Precis & Microsyst Engn, NL-2628CD Delft, Netherlands
关键词
Metal additive manufacturing; Hybrid manufacturing; Topology optimisation; Design for sustainability; Environmental assessment; WIRE; TOPOLOGY; TECHNOLOGIES;
D O I
10.1016/j.engstruct.2023.117355
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Wire arc additive manufacturing (WAAM) enables the manufacturing of efficient and lightweight structural elements in which material can be utilised wherever needed in an optimised shape, in contrast to standard prismatic profiles used in construction. However, the specific energy consumption (SEC) of WAAM is higher than that of conventional manufacturing (CM) techniques (i.e., hot-rolling) for standard profiles. Therefore, it is an open question whether the material savings through computational design realised via WAAM is environmentally beneficial or not. This systematic study aims to provide a better understanding of the environmental impact of hybrid manufacturing, which is defined as the combination of WAAM and CM rather than using any of them alone. Topology optimisation (TO) is used to design a series of beams with an identical performance (i.e., stiffness) but with a reduced material consumption depending on the hybrid ratio. The environmental impact of the designs has been used to determine when and how hybridisation can become advantageous. The results show that although the optimal proportions of WAAM and CM are dependent on their relative SEC, the hybrid solutions have always been environmentally superior compared to that of WAAM or CM alone for the realistic SEC values, exhibiting up to a 60% reduction in environmental impact compared to that of CM.
引用
收藏
页数:12
相关论文
共 56 条
  • [21] Topology optimisation for large-scale additive manufacturing: generating designs tailored to the deposition nozzle size
    Fernandez, E.
    Ayas, C.
    Langelaar, M.
    Duysinx, P.
    [J]. VIRTUAL AND PHYSICAL PROTOTYPING, 2021, 16 (02) : 196 - 220
  • [22] Additive manufacturing and sustainability: an exploratory study of the advantages and challenges
    Ford, Simon
    Despeisse, Melanie
    [J]. JOURNAL OF CLEANER PRODUCTION, 2016, 137 : 1573 - 1587
  • [23] Gardner L., 2023, Ce/papers, V6, P720
  • [24] Fatigue strengthening of damaged steel members using wire arc additive manufacturing
    Ghafoori, E.
    Dahaghin, H.
    Diao, C.
    Pichler, N.
    Li, L.
    Mohri, M.
    Ding, J.
    Ganguly, S.
    Williams, S.
    [J]. ENGINEERING STRUCTURES, 2023, 284
  • [25] BIM based decision-support tool for automating design to fabrication process of freeform lattice space structure
    Haghir S.
    Haghnazar R.
    Saghafi Moghaddam S.
    Keramat D.
    Matini M.R.
    Taghizade K.
    [J]. International Journal of Space Structures, 2021, 36 (03) : 164 - 179
  • [26] Design for sustainable additive manufacturing: A review
    Hegab, Hussien
    Khanna, Navneet
    Monib, Neamat
    Salem, Amr
    [J]. SUSTAINABLE MATERIALS AND TECHNOLOGIES, 2023, 35
  • [27] Fatigue testing and analysis of steel plates manufactured by wire-arc directed energy deposition
    Huang, Cheng
    Li, Lingzhen
    Pichler, Niels
    Ghafoori, Elyas
    Susmel, Luca
    Gardner, Leroy
    [J]. ADDITIVE MANUFACTURING, 2023, 73
  • [28] Fatigue crack growth behaviour of wire arc additively manufactured steels
    Huang, Cheng
    Zheng, Yuanpeng
    Chen, Tao
    Ghafoori, Elyas
    Gardner, Leroy
    [J]. INTERNATIONAL JOURNAL OF FATIGUE, 2023, 173
  • [29] iea, IEA Iron and Steel Technology Roadmap
  • [30] Role of metal 3D printing to increase quality and resource-efficiency in the construction sector
    Kanyilmaz, Alper
    Demir, Ali Gokhan
    Chierici, Martina
    Berto, Filippo
    Gardner, Leroy
    Kandukuri, Sastry Yagnanna
    Kassabian, Paul
    Kinoshita, Takuya
    Laurenti, Andrea
    Paoletti, Ingrid
    du Plessis, Anton
    Razavi, Nima
    [J]. ADDITIVE MANUFACTURING, 2022, 50