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Experimental and RSM-Based Process-Parameters Optimisation for Turning Operation of EN36B Steel

Ramesh Kumar, Ashwani Kumar, Laxmi Kant, Arbind Prasad, Sandeep Bhoi, Chandan Swaroop Meena, Varun Pratap Singh, Aritra Ghosh

2022Materials19 citationsDOIOpen Access PDF

Abstract

The main objective of this article is to perform the turning operation on an EN36B steel work-billet with a tungsten carbide tool, to study the optimal cutting parameters and carry out an analysis of flank-wear. Experimental and simulation-based research methodology was opted in this study. Experimental results were obtained from the lab setup, and optimisation of parameters was performed using RSM (response surface methodology). Using RSM, cutting-tool flank-wear was optimised, and the cutting parameters which affect the flank wear were determined. In results main effect plot, contour plot, the surface plot for flank-wear and forces (Fx, Fy and Fz) were successfully obtained. It was concluded that tool flank-wear is affected by depth of cut, and that flank-wear generally increases linearly with increasing cutting-speed, depth of cut and feed-rate. To validate the obtained results, predicated and measured values were plotted and were in very close agreement, having an accuracy level of 96.33% to 98.92%.

Topics & Concepts

FlankTungsten carbideResponse surface methodologyMaterials scienceTool wearHigh-speed steelMetallurgyMechanical engineeringComputer scienceEngineeringMachiningMachine learningAnthropologySociologyAdvanced machining processes and optimizationAdvanced Machining and Optimization TechniquesMetal Alloys Wear and Properties