Deployment of the Taguchi technique for surface roughness optimisation

Vivek Deshpande, Ismail W.R. Taifa and Nesredin Chekole Deresse

International Journal of Industrial and Systems Engineering, 2021, vol. 39, issue 1, 1-30

Abstract: The aim is to investigate the machining parameters that are important to optimise surface roughness (Ra) through experimentation for EN45 steel material (AISI 9260). Optimisation of the machining parameters for a cylindrical grinding operation helps to save time, cost, and influence to get better surface characteristics and surface finish. The study deployed the Taguchi technique. The scrutinised factors included the feed rate, work speed and the depth of cut (DOC). Experimental set up involved the L₉ orthogonal array. Minitab^® and Microsoft^® Excel 2016 generated results after applying the design of experiment. The Ra was tested by using a portable surface roughness tester. The silicon carbide wheel and a hydraulic cylindrical grinder machine were used. After analysing the generated results, DOC was found to be statistically significant. The influential parameter of Ra was found to be DOC as it contributed to 45.3% and 58.6% before and after heat treatment processes, respectively.

Keywords: surface roughness; optimisation; Taguchi methods; EN45 material; AISI 9260; machining parameters; heat treatment; affinity diagram; design of experiment; orthogonal array; analysis of variance; ANOVA; grinding process. (search for similar items in EconPapers)
Date: 2021
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