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dc.contributor.authorDanish, Mohd
dc.contributor.authorAl-Amin, Md
dc.contributor.authorAbdul-Rani, Ahmad Majdi
dc.contributor.authorRubaiee, Saeed
dc.contributor.authorAhmed, Anas
dc.contributor.authorZohura, Fatema Tuj
dc.contributor.authorAhmed, Rasel
dc.contributor.authorYildirim, Mehmet Bayram
dc.date.accessioned2022-07-25T15:36:06Z
dc.date.available2022-07-25T15:36:06Z
dc.date.issued2022-07-12
dc.identifier.citationDanish, M., Al-Amin, M., Abdul-Rani, A. M., Rubaiee, S., Ahmed, A., Zohura, F. T., Ahmed, R., & Yildirim, M. B. (2022). Optimization of hydroxyapatite powder mixed electric discharge machining process to improve modified surface features of 316L stainless steel. Proceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering. https://doi.org/10.1177/09544089221111584
dc.identifier.issn0954-4089
dc.identifier.urihttps://doi.org/10.1177/09544089221111584
dc.identifier.urihttps://soar.wichita.edu/handle/10057/23603
dc.descriptionClick on the DOI to access this article (may not be free).
dc.description.abstractTraditional methods for producing 316L steel with a desired roughness and a uniform thin coating for sufficient bioactivity and long-term durability are highly difficult and require post-processing. Electric discharge machining (EDM) is a nontraditional process that can accomplish both machining and coating the surface concurrently. This study provides a thorough examination of the impacts of EDM process parameters on the machining responses, which are significantly necessary for processing 316L steel to reach its full potential. The nano-hydroxyapatite particles added EDM method is used to improve the machining and the surface responses. EDM process parametric optimization is conducted using Taguchi's design to achieve the lowest surface roughness of 2.04?µm and a recast layer thickness of 6.11?µm. As a machinability metric, the greatest material erosion rate (MER) of 20.64?mg/min is achieved. Current intensity, discharge period and hydroxyapatite amount are identified to be important predictors for MER, surface roughness and recast layer thickness. Scanning electron microscope with the energy dispersive X-ray spectrums and atomic force microscopic images validate the machined surface morphology, elemental compositions and surface topography. Errors of the confirmatory tests are less than 10%, showing that the projected solution sets by the grey wolf optimizer are highly accurate. The study shows a thin recast layer with both nano and micro-surface roughness formation, which have a great importance in biomedical applications.
dc.language.isoen_US
dc.publisherSAGE Journals
dc.relation.ispartofseriesProceedings of the Institution of Mechanical Engineers, Part E: Journal of Process Mechanical Engineering
dc.relation.ispartofseries2022
dc.subjectElectro-discharge
dc.subject316L steel
dc.subjectProcess optimization
dc.subjectRecast layer
dc.subjectRoughness
dc.subjectGrey wolf optimizer
dc.titleOptimization of hydroxyapatite powder mixed electric discharge machining process to improve modified surface features of 316L stainless steel
dc.typeArticle
dc.rights.holder© 2022 SAGE Publications


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