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

Rumbidzai Muvunzi, Khumbulani Mpofu, Malika Khodja and Ilesanmi Daniyan
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Rumbidzai Muvunzi: Tshwane University of Technology, South Africa
Khumbulani Mpofu: Tshwane University of Technology, South Africa
Malika Khodja: University of Pretoria, South Africa
Ilesanmi Daniyan: Tshwane University of Technology, South Africa

International Journal of Manufacturing, Materials, and Mechanical Engineering (IJMMME), 2022, vol. 12, issue 1, 1-21

Abstract: 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.

Date: 2022
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