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Investigating tool wear rate and surface quality of hardened tool steel: a fuzzy-MARCOS analysis and response surface methodology study

Publication Type : Journal Article

Publisher : Springer

Source : International Journal on Interactive Design and Manufacturing (IJIDeM)

Url : https://link.springer.com/article/10.1007/s12008-024-01950-8

Campus : Chennai

School : School of Engineering

Year : 2024

Abstract : Investigating the quantitative effects of feed rate (Fr), cutting speed (Cv), depth of cut (Dc) and nose radius (Nr) on the surface quality of the heat-treated tool steel workpiece and the tool wear of the Cr-(CrN/TiN) coated insert required the use of a response surface methodology (RSM). Initially, the experimental work has been conducted based on the L27 design of the experiment. Based on the experimental results, RSM has been applied to study the effect of turning process parameters on the responses namely the surface roughness of turned tool steel (Ra), and tool wear rate (TWR). To comprehend the interactive impact of the process variables on the quality indicators, ANOVA analysis and regression were used. Moreover, the machining process parameters were optimized using a novel MEREC-integrated fuzzy MARCOS approach, where the MEREC method was used to determine the criteria weight while the fuzzy MARCOS approach determined the ranking of the parameters. Based on the ranking results suitable set of machining process parameters was selected, i.e., (Fr = 0.3 mm/rev, Cv = 145 mm/min, Dc = 0.4 mm, Nr = 0.6 mm) which gives desirable outputs (TWR—0.1301 mm3/min and Ra—0.4617 µm). The robustness of the ranking obtained from the above-mentioned methodology was tested using different sensitivity analyses. Finally, a confirmation test was done for the optimized parametric set of experiments to validate the result.

Cite this Research Publication : Kumar A. P. V., Patnaik, L., Bharati, K., Venkatesh, V. S. S., & Sunil Kumar, Investigating tool wear rate and surface quality of hardened tool steel: a fuzzy-MARCOS analysis and response surface methodology study. International Journal on Interactive Design and Manufacturing (IJIDeM),2024.

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