International Research Journal of Multidisciplinary Scope (IRJMS) Submit your article

Vol. 3 | Issue 2 | April 2022 | Pages 1-7

Multi-Response Optimization of Surface Roughness and MRR in Turning using Taguchi Grey Relational Analysis (TGRA)

Dipayan Mukherjee, Rajeev Ranjan*, S. C. Moi

DOI: https://doi.org/10.47857/irjms.2022.v03i02.068

Share Email

* Corresponding author

Keywords

  • Optimization
  • Mixed-orthogonal array
  • GRA
  • Turning
  • Surface roughness
  • MRR

Abstract

Turning operation is one of the important machining operations carried out in different manufacturing industries. Optimization of turning parameters is valuable to maintain accuracy, cost and time. Surface roughness and material removal rate measure quality and machining time respectively. In this paper response characteristics surface roughness and material removal rate are optimized using Taguchi Grey relational analysis. 18 experimental runs based on an L18 mixed-orthogonal array of Taguchi method were performed. A grey relational grade obtained from the grey relational analysis is used to find out optimized parameters with the multiple performance characteristics.