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2021 | OriginalPaper | Buchkapitel

Modeling and Experimental Work on Electrical Discharge Machining

verfasst von : Panagiotis Karmiris-Obratański, Emmanouil L. Papazoglou, Angelos P. Markopoulos

Erschienen in: Experiments and Simulations in Advanced Manufacturing

Verlag: Springer International Publishing

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Abstract

Electrical Discharge Machining (EDM) is a non-conventional machining process, widely utilized in the modern industrial environment, especially in applications that involve the manufacturing of complex shapes and geometries, along with high dimensional accuracy. Conceptually EDM is a simple process, which is based on the erosion that accompanies the spark occurrence between two electrically conductive materials, one that acts as working electrode and one as the workpiece. Nevertheless, in practice, and due to the technological advances in the relevant field, EDM has become a multi-parameter machining process. The current chapter aims to familiarize the reader with the process of EDM, while at the same time, to provide useful and practical information concerning more advanced topics. The chapter's first sections are an introduction to the EDM, where a brief historical review, and the basic working principles are presented. The basic physical mechanisms that take place during machining are analyzed, along with the major machining parameters and performance indexes. Moreover, a brief literature review concerning the machining of steel and aluminum alloys with EDM is quoted. Thereafter, the basic principles for modeling and simulation of the process are introduced, aiming to become a helpful reference in model development. Finally, in the last section, a comparative study regarding the machining of two different aluminum alloys (i.e., Al5052 and Al6063) with EDM is presented, indicating how different alloys of the same base may have different behavior during their machining with EDM.

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Vorheriges Kapitel Energy Efficient Machining Through Evolutionary Real-Time Optimization of Cutting Conditions on CNC-Milling Controllers

Nächstes Kapitel Simulations and Experiments in Single Point Incremental Forming Process

Ho KH, Newman ST (2003) State of the art electrical discharge machining (EDM). Int J Mach Tools Manuf 43:1287–1300. https://doi.org/10.1016/S0890-6955(03)00162-7

Markopoulos AP, Papazoglou E-L, Karmiris-Obratański P (2020) Experimental study on the influence of machining conditions on the quality of electrical discharge machined surfaces of aluminum alloy Al5052. Machines 8:12CrossRef

Priestley J (1775) Experiments on the circular spots made on pieces of metal by large electrical explosions. The history and present state of electricity with original experiments, vol. II, 3rd ed. London

BR, Lazarenko NJ (1944) Electrical erosion of metals. In Russian: gosenergoisdat leningrad, 27 p, 7 figures

Webzell S (2001) That first step into EDM, Machinery, 159, (4040) Findlay Publications Ltd. UK, Kent, p 41

Ho KH, Newman ST, Rahimifard S, Allen RD (2004) State of the art wire electrical discharge machining. Int J Mach Tools Manuf 44:1247–1259CrossRef

Markopoulos AP, Papazoglou EL, Svarnias P, Karmiris-Obratański P (2019) An experimental investigation of machining aluminum alloy Al5052 with EDM. Procedia Manufacturing 41:787–794CrossRef

Descoeudres A (2006) Characterization of electrical discharge machining plasmas, PhD thesis, ÉCOLE POLYTECHNIQUE FÉDÉRALE DE LAUSANNE, THÈSE NO, 3542

Xu CS (2012) Working principle and performance of wire electrical discharge machining. Adv Mater Res 507:180183. https://doi.org/10.4028/www.scientific.net/amr.507.180

10.

Maradia U, Boccadoro M, Stirnimann J, Beltrami I, Kuster F, Wegener K (2012) Die-sink EDM in Meso-Micro Machining, Procedia CIRP, Volume 1. ISSN 166–171:2212–8271. https://doi.org/10.1016/j.procir.2012.04.029

11.

Yunus Khan Mohd, Sudhakar Rao P, Pabla BS (2020) Investigations on the feasibility of Jatropha curcas oil based biodiesel for sustainable dielectric fluid in EDM process. Mater Today: Proc 26, Part 2. ISSN 335–340:2214–7853. https://doi.org/10.1016/j.matpr.2019.11.325

12.

Di Bitonto DD, Eubank PT, Patel MR, Barrufet MA (1989) Theoretical models of the electrical discharge machining process. I. A simple cathode erosion model. J Appl Phys 66:4095–4103CrossRef

13.

Schumacher BM (2004) After 60 years of EDM the discharge process remains still disputed. J Mater Process Technol 149:376–381CrossRef

14.

Nikalje AM, Kumar A, Srinadh KVS (2013) Influence of parameters and optimization of EDM performance measures on MDN 300 steel using Taguchi method. Int J Adv Manuf Technol 69:41–49. https://doi.org/10.1007/s00170-013-5008-8CrossRef

15.

Karmiris-Obratański P, Zagórski K, Papazoglou EL et al (2020) Surface texture and integrity of electrical discharged machined titanium alloy. Int J Adv Manuf Technol. https://doi.org/10.1007/s00170-020-06159-zCrossRef

16.

Ciubotariu V, Câcu A, Rotundu I, Cucos M-M, Coteata M (2014) Influence of some factors on surface roughness parameters at electrical discharge machining. Appl Mech Mater 657:291–295CrossRef

17.

Guu YH (2005) AFM surface imaging of AISI D2 tool steel machined by the EDM process. Appl Surf Sci 242(3–4):245–250. https://doi.org/10.1016/j.apsusc.2004.08.028CrossRef

18.

Che Haron CH, Deros BM, Ginting A, Fauziah M (2001) Investigation on the influence of machining parameters when machining tool steel using EDM. J Mater Process Technol 116(1):84–87. https://doi.org/10.1016/s0924-0136(01)00846-9CrossRef

19.

Bleys P, Kruth J-P, Lauwers B, Schacht B, Balasubramanian V, Froyen L, Van Humbeeck J (2006) Surface and sub-surface quality of steel after EDM. Adv Eng Mater 8:15–25. https://doi.org/10.1002/adem.200500211CrossRef

20.

Soni JS, Chakraverti G (1991) Investigative study on metal removal rate and wear ratio in EDM of high carbon high chromium die steel J. Ind, Eng., p 71

21.

Soni JS, Chakraverti G (1995) Effect of electrode material properties on surface roughness and dimensional accuracy in electro-discharge machining of high carbon high chromium die steel. J Ind Eng 76:46–51

22.

Zarepour H, Tehrani AF, Karimi D, Amini S (2007) Statistical analysis on electrode wear in EDM of tool steel DIN 1.2714 used in forging dies. J Mater Process Technol 187–188:711–714. https://doi.org/10.1016/j.jmatprotec.2006.11.202CrossRef

23.

Lin CL, Lin JL, Ko TC (2002) Optimisation of the EDM process based on the orthogonal array with fuzzy logic and gray relational analysis method. Int J Adv Manuf Technol 19:271–277. https://doi.org/10.1007/s001700200034CrossRef

24.

El-Taweel TA (2006) Parametric study and optimisation of wire electrical discharge machining of Al–Cu–TiC–Si P/M composite. Int J Mach Machinab Mater 1(4):380–395. https://doi.org/10.1504/IJMMM.2006.012348CrossRef

25.

Su JC, Kao JY, Tarng YS (2004) Optimisation of the electrical discharge machining process using a GA-based neural network. Int J Adv Manuf Technol 24:81–90

26.

Kuriakose S, Shunmugam MS (2005) Multi-objective optimization of wire-electro discharge machining process by non-dominated sorting genetic algorithm. J Mater Process Technol 170:133–141. https://doi.org/10.1016/j.jmatprotec.2005.04.105CrossRef

27.

Tsai KM, Wang PJ (2001) Semi-empirical model of surface finish on electrical discharge machining. Int J Mach Tools Manuf 41:1455–1477. https://doi.org/10.1016/S0890-6955(01)00015-3CrossRef

28.

Wang PJ, Tsai KM (2001) Semi-empirical model on work removal and tool wear in electrical discharge machining. J Mater Process Technol 114:1–17. https://doi.org/10.1016/S0924-0136(01)00733-6CrossRef

29.

El-Taweel TA (2009) Multi-response optimization of EDM with Al–Cu–Si–TiC P/M composite electrode. Int J Adv Manuf Technol 44:100–113. https://doi.org/10.1007/s00170-008-1825-6CrossRef

30.

Straka Ľ, Hašová S (2018) Optimization of material removal rate and tool wear rate of Cu electrode in die-sinking EDM of tool steel. Int J Adv Manuf Technol 97:2647–2654. https://doi.org/10.1007/s00170-018-2150-3CrossRef

31.

Khan AA (2008) Electrode wear and material removal rate during EDM of aluminum and mild steel using copper and brass electrodes. Int J Adv Manuf Technol 39:482–487. https://doi.org/10.1007/s00170-007-1241-3CrossRef

32.

Guu YH, Hocheng H, Chou CY, Deng CS (2003) Effect of electrical discharge machining on surface characteristics and machining damage of AISI D2 tool steel. Mater Sci Eng A 358(1–2):37–43. https://doi.org/10.1016/s0921-5093(03)00272-7CrossRef

33.

Straka L, Corný I, Pitel’ J, Hašová S (2017) Statistical approach to optimize the process parameters of HAZ of tool steel EN X32CrMoV12-28 after Die-Sinking EDM with SF-Cu Electrode. Metals 7:35

34.

Ablyaz TR, Shlykov ES, Muratov KR, Mahajan A, Singh G, Devgan S, Sidhu SS (2020) Surface characterization and tribological performance analysis of electric discharge machined duplex stainless steel. Micromachines 11:926CrossRef

35.

Mouralova K, Benes L, Bednar J, Zahradnicek R, Prokes T, Fries J (2020) Analysis of machinability and crack occurrence of steels 1.2363 and 1.2343ESR Machined by Die-Sinking EDM. Coatings, 10, 406

36.

Rao PS, Ramji K, Satyanarayana B (2014) Effect of wire EDM conditions on generation of residual stresses in machining of aluminum T6 alloy. Alexandria Eng J 55(2). ISSN 1077–1084:1110–168. https://doi.org/10.1016/j.aej.2016.03.014

37.

Pujari SR, Koona R, Beela S (2018) Surface integrity of wire EDMed aluminum alloy: a comprehensive experimental investigation. J King Saud Univ—Eng Sci 30(4). ISSN 368–376:1018–3639. https://doi.org/10.1016/j.jksues.2016.12.001

38.

Capello E (2004) Residual stresses in turning: Part I: influence of process parameters. J Mater Process Technol 160(2):221–228CrossRef

39.

Bonny K, De Baets P, Quintelier J, Vleugels J, Jiang D, Van der Biest O, Lauwers B, Liu W (2010) Surface finishing: impact on tribological characteristics of WC–Co hardmetals Tribology. Int 43:40–54

40.

Ghanem F, Fredj NB, Sidhom H, Braham C (2011) Effects of finishing processes on the fatigue life improvements of electro-machined surfaces of tool steel Int. J Adv Manuf Technol 52:583–595CrossRef

41.

Khanna R, Kumar A, Garg MP et al (2015) Multiple performance characteristics optimization for Al 7075 on electric discharge drilling by Taguchi grey relational theory. J Ind Eng Int 11:459–472. https://doi.org/10.1007/s40092-015-0112-zCrossRef

42.

Ravindranadh Bobbili V, Madhu AKG (2015) Multi response optimization of wire-EDM process parameters of ballistic grade aluminium alloy. Eng Sci Technol Int J 18(4). ISSN 720–726:2215–986. https://doi.org/10.1016/j.jestch.2015.05.004

43.

.Afzaal Ahmed, (2016) Deposition and analysis of composite coating on aluminum using Ti–B4C powder Metallurgy tools in EDM. Mater Manuf Processes 31(4):467–474. https://doi.org/10.1080/10426914.2015.1025967CrossRef

44.

Papazoglou EL, Markopoulos AP, Papaefthymiou S, Manolakos DE (2019) Electrical discharge machining modeling by coupling thermal analysis with deformed geometry feature. J Adv Manuf Technol https://doi.org/10.1007/s00170-019-03850-8

45.

Weingärtner E, Kuster F, Wegene, K (2012) Modeling and simulation of electrical discharge machining. In Procedia CIRP vol 2 74–78

46.

Jahan MP (2015) Electrical discharge machining (EDM): types. Nova Science Publishers, Technologies and Applications

47.

Mehta HN (2015) Modeling of electrical discharge machining process. Int J Eng Res Technol 4:153–156CrossRef

48.

Tlili A, Ghanem F, Salah NB (2015) A contribution in EDM simulation field. Int J Adv Manuf Technol 79:921–935CrossRef

49.

Vishwakarma UK, Dvivedi A, Kumar P (2012) FEA modeling of material removal rate in electrical discharge machining of Al6063/SiC composites. Int Conf Mech Ind Manuf Eng (ICMIME, 2012), Zurich, Switzerland, Jan. 15–17. 6, 586–591

50.

Shabgard M, Ahmadi R, Seyedzavvar M, Oliaei SNB (2013) Mathematical and numerical modeling of the effect of input-parameters on the flushing efficiency of plasma channel in EDM process. Int J Mach Tools Manuf 65:79–87CrossRef

51.

Vignesh Shanmugam S, Krishnaraj V, Jagdeesh KA, Varun Kumar S, Subash S (2013) Numerical modelling of electro-discharge machining process using moving mesh feature. Procedia Eng 64:747–756CrossRef

52.

Papazoglou EL, Karmiris-Obratański P, Karkalos NE, Markopoulos AP (2020) On the use of deformed geometry in EDM modelling: Comparative study. Acta Physica Polonica A https://doi.org/10.12693/APhysPolA.138.268.

53.

Liu JF, Guo YB (2016) Modeling of white layer formation in electric discharge machining (EDM) by incorporating massive random discharge characteristics. Procedia CIRP 42:697–702

Titel: Modeling and Experimental Work on Electrical Discharge Machining
verfasst von: Panagiotis Karmiris-Obratański
Emmanouil L. Papazoglou
Angelos P. Markopoulos
Verlag: Springer International Publishing
Buch: Experiments and Simulations in Advanced Manufacturing
Print ISBN: 978-3-030-69471-5

Electronic ISBN: 978-3-030-69472-2

Copyright-Jahr: 2021
DOI: https://doi.org/10.1007/978-3-030-69472-2_2

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