GRA Coupled with Fuzzy Linguistic Reasoning for Quality Productivity Improvement in Electrical Discharge Machining (EDM)

Agarwal, Deepak Kumar (2012) GRA Coupled with Fuzzy Linguistic Reasoning for Quality Productivity Improvement in Electrical Discharge Machining (EDM). BTech thesis.

PDF 1264Kb

Abstract

In the present work, the use of the grey relational analysis and fuzzy logic combined with Taguchi method has been proposed for optimizing Electrical Discharge Machining (EDM) process with multiple responses involved. The study aims at simultaneous optimization of quality and productivity. Quality and productivity are correlated inversely. If product quality is intended to be increased then extent of productivity is to be compromised and vice versa. Therefore, a compatible balance is necessary between productivity and product quality. The study addresses a case study related to EDM in which material removal rate (MRR) and surface roughness (Ra value) of the machined work surface have been optimized.

Item Type:	Thesis (BTech)
Uncontrolled Keywords:	Electrical Discharge Machining (EDM),Grey Relational Analysis(GRA), Fuzzy Inference System(FIS), Taguchi Method
Subjects:	Engineering and Technology > Mechanical Engineering > Production Engineering
Divisions:	Engineering and Technology > Department of Mechanical Engineering
ID Code:	3368
Deposited By:	Agarwak Deepak Kumar
Deposited On:	21 May 2012 14:37
Last Modified:	21 May 2012 14:37
Supervisor(s):	Datta, S