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Machining of Ti-6Al-4V biomedical alloy by WEDM: investigation and optimization of MRR and R<sub>z</sub> using grey-harmony search
38
Citations
33
References
2021
Year
Materials ScienceElectrical EngineeringEngineeringMaterial ProcessingIndustrial EngineeringGrey GradeMaterial MachiningMechanical EngineeringMechatronicsGrey-harmony SearchMaterial Removal RateTool WearMachine ToolAlloy DesignMean Roughness DepthTi-6al-4v Biomedical AlloyAbrasive MachiningMetal Processing
Purpose The purpose of this paper is to investigate the optimized setting of wire-cut electrical discharge machining (WEDM) parameters at which material removal rate (MRR) and mean roughness depth (Rz) set a compromise. The problem in the processing of Ti-6Al-4V by conventional processes is a high strength, high hardness, high tool wear. Due to which WEDM is adopted to machine Ti-6Al-4V biomedical alloy. Ti-6Al-4V alloy has a number of applications in the engineering and medical industries due to its high strength biocompatibility. Design/methodology/approach The effect of control factors (i.e. pulse on-time: Pon; pulse off-time: Poff; servo voltage: SV) on the MRR and Rz is investigated in the present research. The planning of experiments is done using a Taguchi-based L9 orthogonal array. The percentage influence of each factor on responses is also evaluated. The multi-objective optimization is done using the grey approach initially. After that, the results were also calculated using harmony search (HS). Therefore, a hybrid approach of grey and HS is used to find the optimized values of MRR and Rz. Findings The maximum value of grade calculated by grey-HS is 0.7879, while in the case of the experimental run the maximum value of grey grade is 0.7239. The optimized setting after improvisation at this grade value is Pon: 130 µ s; Poff: 45 µ s and SV: 70 V for MRR and Rz collectively. The validation of the suggested setting is completed by experimentation. The values of MRR and Rz are coming out to be 6.4 mm 3 /min and 13.84 µ m, which represents improvised results after the implementation of the HS algorithm. Originality/value The integration of the grey approach with the HS principle in the manufacturing domain is yet to be explored. Therefore, in the present research hybrid approach of grey-HS is implemented in the manufacturing domain having applications in medical industries.
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