Skip to main content
Top

2021 | OriginalPaper | Chapter

4. Optimization of Electric Discharge Machining (EDM)

Authors : Apoorva Shastri, Aniket Nargundkar, Anand J. Kulkarni

Published in: Socio-Inspired Optimization Methods for Advanced Manufacturing Processes

Publisher: Springer Singapore

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Electric Discharge Machining (EDM) is an electro-thermal, Non-Traditional Machining (NTM) process in which electrical energy is used to generate spark between tool & workpiece and thus material is removed. EDM is mainly used to machine high strength temperature resistant materials and alloys with intricate geometries and is a quite popular NTM process in the machining industry.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Camposeco-Negrete C (2019) Prediction and optimization of machining time and surface roughness of AISI O1 tool steel in wire-cut EDM using robust design and desirability approach. Int J Adv Manuf Technol 1–12 Camposeco-Negrete C (2019) Prediction and optimization of machining time and surface roughness of AISI O1 tool steel in wire-cut EDM using robust design and desirability approach. Int J Adv Manuf Technol 1–12
2.
go back to reference Dang XP (2018) Constrained multi-objective optimization of EDM process parameters using kriging model and particle swarm algorithm. Mater Manuf Processes 33(4):397–404 Dang XP (2018) Constrained multi-objective optimization of EDM process parameters using kriging model and particle swarm algorithm. Mater Manuf Processes 33(4):397–404
3.
go back to reference Das MK, Kumar K, Barman TK, Sahoo P (2014) Application of artificial bee colony algorithm for optimization of MRR and surface roughness in EDM of EN31 tool steel. Procedia Mater Sci 6:741–751 Das MK, Kumar K, Barman TK, Sahoo P (2014) Application of artificial bee colony algorithm for optimization of MRR and surface roughness in EDM of EN31 tool steel. Procedia Mater Sci 6:741–751
4.
go back to reference Dewangan S, Gangopadhyay S, Biswas CK (2015) Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach. Eng Sci Technol Int J 18(3):361–368 Dewangan S, Gangopadhyay S, Biswas CK (2015) Multi-response optimization of surface integrity characteristics of EDM process using grey-fuzzy logic-based hybrid approach. Eng Sci Technol Int J 18(3):361–368
5.
go back to reference Ganapathy S, Balasubramanian P, Senthilvelan T, Kumar R (2019) Multi-response optimization of machining parameters in EDM using square-shaped nonferrous electrode. In: Advances in manufacturing processes. Springer, Singapore, pp 287–295 Ganapathy S, Balasubramanian P, Senthilvelan T, Kumar R (2019) Multi-response optimization of machining parameters in EDM using square-shaped nonferrous electrode. In: Advances in manufacturing processes. Springer, Singapore, pp 287–295
6.
go back to reference Gopalakannan S, Senthilvelan T (2014) Optimization of machining parameters for EDM operations based on central composite design and desirability approach. J Mech Sci Technol 28(3):1045–1053 Gopalakannan S, Senthilvelan T (2014) Optimization of machining parameters for EDM operations based on central composite design and desirability approach. J Mech Sci Technol 28(3):1045–1053
7.
go back to reference Jain VK (2008) Advanced (non-traditional) machining processes. In: Machining. Springer, London. pp 299–327 Jain VK (2008) Advanced (non-traditional) machining processes. In: Machining. Springer, London. pp 299–327
8.
go back to reference Kolli M, Kumar A (2015) Effect of dielectric fluid with surfactant and graphite powder on electrical discharge machining of titanium alloy using Taguchi method. Eng Sci Technol Int J 18(4):524–535 Kolli M, Kumar A (2015) Effect of dielectric fluid with surfactant and graphite powder on electrical discharge machining of titanium alloy using Taguchi method. Eng Sci Technol Int J 18(4):524–535
9.
go back to reference Kulkarni AJ Durugkar IP Kumar M (2013) Cohort intelligence: a self supervised learning behavior. In: 2013 IEEE international conference on systems, man, and cybernetics. IEEE, pp 1396–1400 Kulkarni AJ Durugkar IP Kumar M (2013) Cohort intelligence: a self supervised learning behavior. In: 2013 IEEE international conference on systems, man, and cybernetics. IEEE, pp 1396–1400
10.
go back to reference Kumar, K., Singh, V., Katyal, P. and Sharma, N., 2019. EDM μ-drilling in Ti-6Al-7Nb: experimental investigation and optimization using NSGA-II. Int J Adv Manuf Technol pp 1–12 Kumar, K., Singh, V., Katyal, P. and Sharma, N., 2019. EDM μ-drilling in Ti-6Al-7Nb: experimental investigation and optimization using NSGA-II. Int J Adv Manuf Technol pp 1–12
11.
go back to reference Muthuramalingam T, Mohan B (2015) A review on influence of electrical process parameters in EDM process. Arch Civil Mech Eng 15(1):87–94 Muthuramalingam T, Mohan B (2015) A review on influence of electrical process parameters in EDM process. Arch Civil Mech Eng 15(1):87–94
12.
go back to reference Patankar NS, Kulkarni AJ (2018) Variations of cohort intelligence. Soft Comput 22(6):1731–1747 Patankar NS, Kulkarni AJ (2018) Variations of cohort intelligence. Soft Comput 22(6):1731–1747
13.
go back to reference Shastri AS, Kulkarni AJ (2018) Multi-cohort intelligence algorithm: an intra-and inter-group learning behaviour based socio-inspired optimisation methodology. Int J Parallel Emergent Distrib Syst 33(6):675–715 Shastri AS, Kulkarni AJ (2018) Multi-cohort intelligence algorithm: an intra-and inter-group learning behaviour based socio-inspired optimisation methodology. Int J Parallel Emergent Distrib Syst 33(6):675–715
15.
go back to reference Shukla R, Singh D (2017) Selection of parameters for advanced machining processes using firefly algorithm. Eng Sci Technol Int J 20(1):212–221 Shukla R, Singh D (2017) Selection of parameters for advanced machining processes using firefly algorithm. Eng Sci Technol Int J 20(1):212–221
16.
go back to reference Straka LU, Hašová S (2018) Prediction of the heat-affected zone of tool steel EN X37CrMoV5-1 after die-sinking electrical discharge machining. Proc Inst Mech Eng Part B J Eng Manuf 232(8):1395–1406 Straka LU, Hašová S (2018) Prediction of the heat-affected zone of tool steel EN X37CrMoV5-1 after die-sinking electrical discharge machining. Proc Inst Mech Eng Part B J Eng Manuf 232(8):1395–1406
17.
go back to reference Teimouri R, Baseri H (2014) Optimization of magnetic field assisted EDM using the continuous ACO algorithm. Appl Soft Comput 14:381–389 Teimouri R, Baseri H (2014) Optimization of magnetic field assisted EDM using the continuous ACO algorithm. Appl Soft Comput 14:381–389
18.
go back to reference Tzeng CJ, Chen RY (2013) Optimization of electric discharge machining process using the response surface methodology and genetic algorithm approach. Int J Prec Eng Manuf 14(5):709–717 Tzeng CJ, Chen RY (2013) Optimization of electric discharge machining process using the response surface methodology and genetic algorithm approach. Int J Prec Eng Manuf 14(5):709–717
19.
go back to reference Yang SH, Srinivas J, Mohan S, Lee DM, Balaji S (2009) Optimization of electric discharge machining using simulated annealing. J Mater Process Technol 209(9):4471–4475 Yang SH, Srinivas J, Mohan S, Lee DM, Balaji S (2009) Optimization of electric discharge machining using simulated annealing. J Mater Process Technol 209(9):4471–4475
Metadata
Title
Optimization of Electric Discharge Machining (EDM)
Authors
Apoorva Shastri
Aniket Nargundkar
Anand J. Kulkarni
Copyright Year
2021
Publisher
Springer Singapore
DOI
https://doi.org/10.1007/978-981-15-7797-0_4

Premium Partners