| Autor: |
Neo Kekana, Mxolisi Brendon Shongwe, Khumbulani Mpofu, Rumbidzai Muvunzi |
| Jazyk: |
angličtina |
| Rok vydání: |
2024 |
| Předmět: |
|
| Zdroj: |
Applied Sciences, Vol 14, Iss 15, p 6519 (2024) |
| Druh dokumentu: |
article |
| ISSN: |
2076-3417 |
| DOI: |
10.3390/app14156519 |
| Popis: |
In this study, AlSi12 alloy samples were produced via 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 the experimental method, response surface methodology was applied to optimize different combinations of SLM parameters. The outcomes were analyzed via analysis of variance (ANOVA) and signal-to-noise(S/N) ratios. The relationship between the hardness response to the process parameters (scanning speed and laser 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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
