Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/4201
Title: Experimental and RSM-based process-parameters optimisation for turning operation of EN36B steel
Authors: Meena, Chandan Swaroop
Ghosh, Aritra
Kumar, Ramesh
Kumar, Ashwani
Kant, Laxmi
Prasad, Arbind
Bhoi, Sandeep
Singh, Varun Pratap
Keywords: Published Papers
Mechanical Engineering
Cutting-Tool Wear
Response-Surface Method
Alloy Steel
Issue Date: 29-Dec-2022
Publisher: Multidisciplinary Digital Publishing Institute (MDPI)
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%.
Description: Paper published in the journal - Materials 2023, 16, 339
URI: https://doi.org/10.3390/ma16010339
http://hdl.handle.net/123456789/4201
Appears in Collections:Published papers

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