Please use this identifier to cite or link to this item: http://hdl.handle.net/11189/10014
DC FieldValueLanguage
dc.contributor.authorKekana, Neoen_US
dc.contributor.authorShongwe, Mxolisi Brendonen_US
dc.contributor.authorMpofu, Khumbulanien_US
dc.contributor.authorMuvunzi, Rumbidzaien_US
dc.date.accessioned2025-09-09T09:57:37Z-
dc.date.available2025-09-09T09:57:37Z-
dc.date.issued2024-
dc.identifier.citationKekana, N. et al. 2024. Investigation into process parameter optimization of selective laser melting for producing AlSi12 parts using ANOV. Applied Sciences-Basel, 14(15): 1-12. [https://doi.org/10.3390/app14156519]en_US
dc.identifier.issn2076-3417-
dc.identifier.urihttp://hdl.handle.net/11189/10014-
dc.description.abstractIn 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.en_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.relation.ispartofApplied Sciences-Baselen_US
dc.subjectSelective laser meltingen_US
dc.subjectANOVAen_US
dc.subjectMechanical propertiesen_US
dc.subjectMicrostructureen_US
dc.subjectResponse surface methodologyen_US
dc.titleInvestigation into process parameter optimization of selective laser melting for producing AlSi12 parts using ANOVen_US
dc.identifier.doihttps://doi.org/10.3390/app14156519-
dc.typeArticleen_US
Appears in Collections:Eng - Journal articles (DHET subsidised)
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