2012•Procedia EngineeringOpen access

Determination of Electro Discharge Machining Parameters in AISI202 Stainless Steel Using Grey Relational Analysis

T. M. Chenthil Jegan, M. Dev Anand, D. Ravindran

Open full text 25 citations

Abstract

Unconventional machining processes are used only when no other traditional machining process can meet the necessary requirements efficiently and economically. Determinations of machining parameters are essential for the effective utilization of these processes. Electric Discharge Machining (EDM) is a thermo-electric non-traditional machining process in which material removal takes place through the process of controlled spark generation between a pair of electrodes which are submerged in a dielectric medium. This paper describes the selection of machining parameters Discharge Current, Pulse ON Time and Pulse OFF Time in EDM for the machining of AISI202 stainless steel material. The use of grey relational analysis for optimizing the machining parameters Material Removal Rate (MRR) and Surface Roughness (SR) is introduced. Grey relational analysis is applied to find the Grey Grade and it is used to represent the multi-objective model. The experimental work in this research to know effect the machining parameters on EDM and conclusion mis effect on the Metal Removal Rate (MRR) and Surface Roughness (SR). Grey relational grade is used to find the optimal parameters.

Open-access reader

About this research paper

What this paper is about

Unconventional machining processes are used only when no other traditional machining process can meet the necessary requirements efficiently and economically. Determinations of machining parameters are essential for the effective utilization of these processes. Electric Discharge Machining (EDM) is a thermo-electric non-traditional machining process in which material removal takes place through the process of controlled spark generation between a pair of electrodes which are submerged in a dielectric medium. This paper describes the selection of machining parameters Discharge Current, Pulse ON Time and Pulse OFF Time in EDM for the machining of AISI202 stainless steel material. The use of grey relational analysis for optimizing the machining parameters Material Removal Rate (MRR) and Surface Roughness (SR) is introduced. Grey relational analysis is applied to find the Grey Grade and it is used to represent the multi-objective model. The experimental work in this research to know effect the machining parameters on EDM and conclusion mis effect on the Metal Removal Rate (MRR) and Surface Roughness (SR). Grey relational grade is used to find the optimal parameters.

Why it matters

OpenAlex reports 25 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Unconventional machining processes are used only when no other traditional machining process can meet the necessary requirements efficiently and economically. Determinations of machining parameters are essential for the effective utilization of these processes. Electric Discharge Machining (EDM) is a thermo-electric non-traditional machining process in which material removal takes place through the process of controlled spark generation between a pair of electrodes which are submerged in a dielectric medium. This paper describes the selection of machining parameters Discharge Current, Pulse ON Time and Pulse OFF Time in EDM for the machining of AISI202 stainless steel material. The use of grey relational analysis for optimizing the machining parameters Material Removal Rate (MRR) and Surface Roughness (SR) is introduced. Grey relational analysis is applied to find the Grey Grade and it is used to represent the multi-objective model. The experimental work in this research to know effect the machining parameters on EDM and conclusion mis effect on the Metal Removal Rate (MRR) and Surface Roughness (SR). Grey relational grade is used to find the optimal parameters.

Key concepts: Grey relational analysis, Electrical discharge machining, Machining, Surface roughness, Mechanical engineering, Materials science, Liquid dielectric, Process (computing)

Related papers

Back to paper searchBrowse research topicsOriginal source
Determination of Electro Discharge Machining Parameters in AISI202 Stainless Steel Using Grey Relational Analysis — Research Paper | ScholarLens