Version 1
: Received: 27 June 2024 / Approved: 28 June 2024 / Online: 2 July 2024 (09:23:41 CEST)
How to cite:
Kekana, N.; Shongwe, M. B.; Mpofu, K.; Muvunzi, R. Investigation into process parameter optimization of selective laser melting for producing AlSi12 parts using ANOVA. Preprints2024, 2024062051. https://doi.org/10.20944/preprints202406.2051.v1
Kekana, N.; Shongwe, M. B.; Mpofu, K.; Muvunzi, R. Investigation into process parameter optimization of selective laser melting for producing AlSi12 parts using ANOVA. Preprints 2024, 2024062051. https://doi.org/10.20944/preprints202406.2051.v1
Kekana, N.; Shongwe, M. B.; Mpofu, K.; Muvunzi, R. Investigation into process parameter optimization of selective laser melting for producing AlSi12 parts using ANOVA. Preprints2024, 2024062051. https://doi.org/10.20944/preprints202406.2051.v1
APA Style
Kekana, N., Shongwe, M. B., Mpofu, K., & Muvunzi, R. (2024). Investigation into process parameter optimization of selective laser melting for producing AlSi12 parts using ANOVA. Preprints. https://doi.org/10.20944/preprints202406.2051.v1
Chicago/Turabian Style
Kekana, N., Khumbulani Mpofu and Rumbidzai Muvunzi. 2024 "Investigation into process parameter optimization of selective laser melting for producing AlSi12 parts using ANOVA" Preprints. https://doi.org/10.20944/preprints202406.2051.v1
Abstract
In this study, AlSi12 alloy was fabricated using the selective laser melting (SLM) technique to produce high density components with complex and customized parts for railway applications. Nonetheless, the production of dense samples necessitates the optimization of production process parameters. As a statistical design of experimental technique, the response surface methodology was used to optimise different combination of SLM parameters. The results were analysed using analyse of variance (ANOVA) and the signal-to-noise(S/N) ratios. The relationship between the hardness response to the process parameters (scanning speed and lase power) for determining the optimal processing conditions were examined. A hardness value of 133 HV was obtained. The process parameters were successfully optimized and the relationship between the parameters and the structures of the fabricated samples were reported.
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
