Multi Response Optimization of Turning Parameters Using Grey Relational Analysis in the Taguchi Methodology

Sunil Kumar; Bhasker Srivastava; Chandramohan Kumar; Suman Anand

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25-Mar-23

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Multi Response Optimization of Turning Parameters Using Grey Relational Analysis in the Taguchi Methodology

Author(s):

Sunil Kumar , YIT; Bhasker Srivastava, YIT; Chandramohan Kumar, skit; Suman Anand, skit

Keywords:

Taguchi Methodology, Orthogonal Array (OA), Grey Relation Analysis, Signal To Noise Ratio

Abstract:

Now days, the surface quality in metal machining is most important. There are many machining process such as drilling, shaping, turning, slotting, grinding etc. Among the all machining process, turning is the machining process commonly used in industries to produce cylindrical work pieces. Turning parameters play a crucial role in turning the given work piece to the required shape. In the present work, turning process has been taken up for the surface roughness and material removal rate optimization. An attempt was also made to optimize the turning parameters for minimum surface roughness using Taguchi methodology. Also, grey relation analysis with Taguchi methodology was also used for the optimization of machining parameters for Minimum Surface Roughness During Turning of AISI 8620 Case Hardening Steel Using Grey Relational Analysis Technique for multi response optimization.