Modeling and optimization of electrical discharge machining

Sumit Bhowmik; Jagadish; Kapil Gupta

doi:10.1007/978-3-030-00036-3_2

Modeling and optimization of electrical discharge machining

Sumit Bhowmik
, Jagadish
, Kapil Gupta

Mechanical and Industrial Engineering Technology

National Institute of Technology Silchar
National Institute of Technology Raipur

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

5 Citations (Scopus)

Abstract

This chapter presents modeling and optimization of EDM process for high MRR, low surface roughness, and low electrode wear rate. The integrated SOW and WGRA technique has been researched to optimize EDM-type process. Based upon the optimization results, a single set of EDM parameters produced best values of MRR—1.28 mm³/min, surface roughness—2.37 μm, and electrode wear rate—0.14 mm³/min. The multi-criteria decision-making technique, i.e., integrated SOW–WGRA, has been found to have significant potential for modeling and optimization of EDM and other advanced machining processes. The chapter hopes to facilitate researchers and encourages future work on optimization of advanced processes to establish the field further.

Original language	English
Title of host publication	SpringerBriefs in Applied Sciences and Technology
Publisher	Springer Verlag
Pages	15-28
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-030-00036-3_2
Publication status	Published - 2019

Publication series

Name	SpringerBriefs in Applied Sciences and Technology
ISSN (Print)	2191-530X
ISSN (Electronic)	2191-5318

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

EDM
Optimization
Surface quality
Tool wear

ASJC Scopus subject areas

Biotechnology
General Chemical Engineering
General Mathematics
General Materials Science
Energy Engineering and Power Technology
General Engineering

Access to Document

10.1007/978-3-030-00036-3_2

Cite this

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title = "Modeling and optimization of electrical discharge machining",

abstract = "This chapter presents modeling and optimization of EDM process for high MRR, low surface roughness, and low electrode wear rate. The integrated SOW and WGRA technique has been researched to optimize EDM-type process. Based upon the optimization results, a single set of EDM parameters produced best values of MRR—1.28 mm3/min, surface roughness—2.37 μm, and electrode wear rate—0.14 mm3/min. The multi-criteria decision-making technique, i.e., integrated SOW–WGRA, has been found to have significant potential for modeling and optimization of EDM and other advanced machining processes. The chapter hopes to facilitate researchers and encourages future work on optimization of advanced processes to establish the field further.",

keywords = "EDM, Optimization, Surface quality, Tool wear",

author = "Sumit Bhowmik and Jagadish and Kapil Gupta",

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TY - CHAP

T1 - Modeling and optimization of electrical discharge machining

AU - Bhowmik, Sumit

AU - Jagadish,

AU - Gupta, Kapil

PY - 2019

Y1 - 2019

N2 - This chapter presents modeling and optimization of EDM process for high MRR, low surface roughness, and low electrode wear rate. The integrated SOW and WGRA technique has been researched to optimize EDM-type process. Based upon the optimization results, a single set of EDM parameters produced best values of MRR—1.28 mm3/min, surface roughness—2.37 μm, and electrode wear rate—0.14 mm3/min. The multi-criteria decision-making technique, i.e., integrated SOW–WGRA, has been found to have significant potential for modeling and optimization of EDM and other advanced machining processes. The chapter hopes to facilitate researchers and encourages future work on optimization of advanced processes to establish the field further.

AB - This chapter presents modeling and optimization of EDM process for high MRR, low surface roughness, and low electrode wear rate. The integrated SOW and WGRA technique has been researched to optimize EDM-type process. Based upon the optimization results, a single set of EDM parameters produced best values of MRR—1.28 mm3/min, surface roughness—2.37 μm, and electrode wear rate—0.14 mm3/min. The multi-criteria decision-making technique, i.e., integrated SOW–WGRA, has been found to have significant potential for modeling and optimization of EDM and other advanced machining processes. The chapter hopes to facilitate researchers and encourages future work on optimization of advanced processes to establish the field further.

KW - EDM

KW - Optimization

KW - Surface quality

KW - Tool wear

UR - https://www.scopus.com/pages/publications/85052853280

U2 - 10.1007/978-3-030-00036-3_2

DO - 10.1007/978-3-030-00036-3_2

M3 - Chapter

AN - SCOPUS:85052853280

T3 - SpringerBriefs in Applied Sciences and Technology

SP - 15

EP - 28

BT - SpringerBriefs in Applied Sciences and Technology

PB - Springer Verlag

ER -

Modeling and optimization of electrical discharge machining

Abstract

Publication series

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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