A Framework for Additive Manufacturing Technology Selection: A Case for the Rail Industry

被引:3
|
作者
Muvunzi, Rumbidzai [1 ]
Mpofu, Khumbulani [2 ]
Khodja, Malika [3 ]
Daniyan, Ilesanmi [1 ]
机构
[1] Tshwane Univ Technol, Dept Ind Engn, Pretoria, South Africa
[2] Tshwane Univ Technol, Pretoria, South Africa
[3] Univ Pretoria, Pretoria, South Africa
关键词
Additive Manufacturing; Rail Sector; Transport Equipment; OF-THE-ART; METALLIC COMPONENTS; DESIGN; WIRE; METHODOLOGY; QUALITY; ALLOY; MICROSTRUCTURE; MAINTENANCE; SUPPORT;
D O I
10.4018/IJMMME.302912
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Additive manufacturing is a popular emerging technology of producing parts directly from digital models. This technology has presented benefits such as freedom of design, the ability to customise, and shortened process chains. Presently, there are different additive manufacturing (AM) processes that are available in the market. Often, transport equipment manufacturing companies are faced with challenges while selecting the AM processes that are suited to their needs. Decision-makers need to consider all the underlining factors before a conclusion is reached. This paper proposes an approach that can be used by companies in the rail sector to select AM technologies that are suited to their applications. The approach involves identifying suitable parts, comparing applicable AM technologies, and selecting the most suitable technology. The next stage involves re-designing the parts based on the selected technology. The approach is applied to benchmark parts from the industry. The study provides enlightenment on how AM can be applied in the rail industry.
引用
收藏
页数:1
相关论文
共 50 条
  • [1] Assessment Framework for Additive Manufacturing in the AEC Industry
    Mrazovic, Natasa
    Fischer, Martin
    [J]. JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT, 2022, 148 (05)
  • [2] Factors for metal additive manufacturing technology selection
    Sobota, Vladimir C. M.
    van de Kaa, Geerten
    Luomaranta, Toni
    Martinsuo, Miia
    Ortt, J. Roland
    [J]. JOURNAL OF MANUFACTURING TECHNOLOGY MANAGEMENT, 2021, 32 (09) : 26 - 47
  • [3] Adoption and Diffusion of Disruptive Technologies: The Case of Additive Manufacturing in Medical Technology Industry in Australia
    Tavassoli, Sam
    Brandt, Milan
    Qian, Ma
    Arenius, Pia
    Kianian, Babak
    Diegel, Olaf
    Mention, Anne-Laure
    Cole, Ivan
    Elghitany, Aly
    Pope, Leon
    [J]. SUSTAINABLE MANUFACTURING - HAND IN HAND TO SUSTAINABILITY ON GLOBE, 2020, 43 : 18 - 24
  • [4] Selection of Subtractive Manufacturing Technology Versus Additive Manufacturing Technology for Rapid Prototyping of a Polymeric Product
    Belgiu, George
    Turc, Cristian G. H.
    Carausu, Constantin
    [J]. MATERIALE PLASTICE, 2020, 57 (04) : 343 - 352
  • [5] On Opportunities and Limitations of Additive Manufacturing Technology for Industry 4.0 Era
    Lemu, Hirpa G.
    [J]. ADVANCED MANUFACTURING AND AUTOMATION VIII, 2019, 484 : 106 - 113
  • [6] Research on the Innovation of Additive Manufacturing Technology in Contemporary Industry Development
    Ma, Xueliang
    [J]. 2020 4TH INTERNATIONAL CONFERENCE ON ELECTRICAL, AUTOMATION AND MECHANICAL ENGINEERING, 2020, 1626
  • [7] ENVIRONMENTAL SUSTAINABILITY OF ADDITIVE MANUFACTURING: A CASE STUDY OF INDIAN MANUFACTURING INDUSTRY
    Yadav, Alok
    Garg, Rajiv Kumar
    Agrawal, Rajeev
    Sachdeva, Anish Kumar
    [J]. PROCEEDINGS OF ASME 2022 INTERNATIONAL MECHANICAL ENGINEERING CONGRESS AND EXPOSITION, IMECE2022, VOL 2B, 2022,
  • [8] Model for Technology Selection in the Context of Industry 4.0 Manufacturing
    Aballay, Claudio
    Quezada, Luis
    Sepulveda, Cristian
    [J]. PROCESSES, 2023, 11 (10)
  • [9] A framework of technology diffusion in aircraft manufacturing industry environment
    Rasheed, Asif
    Manarvi, Irfan A.
    [J]. IMECS 2008: INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTISTS, VOLS I AND II, 2008, : 1649 - 1654
  • [10] Additive Manufacturing in Industry
    Citarella, Roberto
    Giannella, Venanzio
    [J]. APPLIED SCIENCES-BASEL, 2021, 11 (02): : 1 - 3