Optimization of surface roughness and material removal rate in turning using gray-based Taguchi approach
Department of Mechanical Engineering, JNTUACEP, Pulivendula, Constitute College of Jawaharlal Nehru Technological University Anantapur, Ananthapuramu, India.
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2023, 09(01), 364–371.
Article DOI: 10.30574/wjaets.2023.9.1.0183
Publication history:
Received on 08 May 2023; revised on 19 June 2023; accepted on 22 June 2023
Abstract:
This study investigated the multi-optimization of the turning process on AISI1045 steel material with CNMG cutting tool for an optimal parametric combination to yield the minimum surfaces roughness with the maximum MRR using a combination of a Grey relational analysis (GRA) and the Taguchi method. In view of the fact, that traditional Taguchi method can’t solve a multi-objective optimization problem: To overcome this limitations Grey relation theory has been coupled with Taguchi method. Nine experimental runs based on an Orthogonal array of the Taguchi method were performed to drive objective functions to be optimized within the experimental domain the signification of the factors on the overall quality characteristics of the cutting process was also evaluated quantitatively using the Analysis of Variance ANOVA method. Optimal results verified through additional experiments.
Keywords:
Turning parameters; Grey relational theory; Taguchi method; ANOVA; Material removal rate
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