Parameter appraisal of dry turning of Gr-5 Ti-6Al-4 V using novel hybrid Taguchi-ARAS-Leader Harris Hawks optimization

Abstract

The current study used a solid carbide, uncoated cutting insert to pilot dry turning of Titanium alloy (Grade 5 Ti-6Al-4 V). Furthermore, the experiment by varying three cutting variables: depth of cut, feed, and cutting speed was done. The Taguchi design was used for the experiment. The goal of this research was to lessen surface roughness, chip thickness coefficient, & tool wear. The Taguchi-coupled Additive Ratio Assessment (ARAS) technique and the Leader Harris Hawk algorithm were used to investigate the best cutting circumstances and the variables that influence the cutting parameter. When the depth of cut was reduced, tool wear was reduced, and an improved finish on the surface was obtained with a slower cutting speed. ANOVA was used to find the most essential factor, afterward a confirmatory check which demonstrated a high consistency amid the expected and experimental consequences. According to ANOVA, cutting speed was shown to be the most relevant and contributing component for reducing the cutting output reactions. According to the confirmatory test, the findings produced using the Taguchi-ARAS technique and the Leader Harris Hawk algorithm are more precise than the ARAS values because the factor settings have been used to minimalize tool wear, chip reduction coefficient, and surface roughness.