A Systematic Review and Interaction Matrix of WEDM Process Parameters: Frequency Analysis and Research Gaps in Surface Integrity and Productivity

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Author(s)

Manojkumar Subrao Kate Priyaranjan Samal Kotthapalli Karthik

1. Department of Mechanical Engineering, KL University (Koneru Lakshmaiah Education Foundation), Vaddeswaram, Guntur District, Andhra Pradesh 522 302, India

* Corresponding author.

DOI: https://doi.org/10.5815/ijem.2026.05.24

Received: 6 Jul. 2026 / Revised: 30 Jul. 2026 / Accepted: 25 Aug. 2026 / Published: 8 Oct. 2026

Index Terms

Wire electrical discharge machining (WEDM), pulse on time, pulse off time, surface roughness, material removal rate, kerf width, surface integrity, systematic review, powder-mixed dielectric, wire electrode

Abstract

Wire electrical discharge machining (WEDM) is a heat-based, non-contacting and precision machining process which can produce complex geometry in any conductive material regardless of its hardness. Although many studies on the investigations of individual input factors in the WEDM process have been done, no complete study on the frequency weighted correlation of all the key input factors with all the output parameters has been made yet. This paper tries to fill this gap through reviewing peer reviewed journal articles available on Scopus, Web of Science, Science Direct, Springer Link, Taylor & Francis Online, and IEEE Xplore according to PRISMA 2020 methodology. The number of key input and output factors is thirteen and eight respectively and they have been addressed in this paper. Frequency weighted analysis proves that Ton has been mentioned in 63%, Toff in 62%, V in 41%, Ip in 38%, Ra in 62%, and MRR in 48% of all papers. On the other hand, fatigue resistance, residual stresses, geometry deformation, and cutting speed still lack sufficient consideration even though they play a vital role in industry. The literature review also highlights powder mixed dielectrics, coated wire electrode, multi-objective optimization approach, artificial intelligence (AI), non-dominated sorting genetic algorithm (II), technique for order preference by similarity to ideal solution (TOPSIS), and machine learning as areas of emerging interest in improving the machining process. In general, the literature review serves as a good source for understanding the important process variables, current research trends, and gaps, and can be used for multi-objective process optimization and future research.

Cite This Paper

Manojkumar Subrao Kate, Priyaranjan Samal, Kotthapalli Karthik, "A Systematic Review and Interaction Matrix of WEDM Process Parameters: Frequency Analysis and Research Gaps in Surface Integrity and Productivity", International Journal of Engineering and Manufacturing (IJEM), Vol.16, No.5, pp. 458-473, 2026. DOI:10.5815/ijem.2026.05.24

Reference

[1]R. Chaudhari et al., “Experimental investigations and optimization of MWCNTs-mixed WEDM process parameters of nitinol shape memory alloy,” Journal of Materials Research and Technology, vol. 15, pp. 2152–2169, Nov. 2021, doi: 10.1016/j.jmrt.2021.09.038.
[2]S. P. Dwivedi, A. K. Srivastava, N. K. Maurya, and M. Maurya, “Microstructure and mechanical properties of Al 6061/Al2O3/Fly-Ash composite fabricated through stir casting,” Annales de Chimie: Science des Materiaux, vol. 43, no. 5, pp. 341–346, 2019, doi: 10.18280/acsm.430510.
[3]S. kumar, M. A. Khan, and B. Muralidharan, “Processing of titanium-based human implant material using wire EDM,” Materials and Manufacturing Processes, vol. 34, no. 6, pp. 695–700, Apr. 2019, doi: 10.1080/10426914.2019.1566609.
[4]R. Sahoo, T. Debnath, and P. K. Patowari, “Machinability characteristics of titanium diamond using EDM and its parametric optimization,” Materials and Manufacturing Processes, vol. 38, no. 1, pp. 78–88, 2023, doi: 10.1080/10426914.2022.2105868.
[5]V. Kumar, K. K. Jangra, V. Kumar, and N. Sharma, “WEDM of nickel based aerospace alloy: optimization of process parameters and modelling,” International Journal on Interactive Design and Manufacturing, vol. 11, no. 4, pp. 917–929, Nov. 2017, doi: 10.1007/s12008-016-0298-3.
[6]S. K. Choudhary and R. S. Jadoun, “Review article on machining of nickel-based super alloys by electric discharge machining,” Lecture Notes in Engineering and Computer Science, vol. 2, pp. 910–915, 2017.
[7]T. Duerig, D. Stoeckel, and D. Johnson, “SMA-Smart Materials for Medical Applications,” 2003. [Online]. Available: http://proceedings.spiedigitallibrary.org/
[8]P. Sarmah and P. Kumar Patowari, “Machinability study of Al and Mg-based metal matrix composites using wire-EDM,” in Materials Today: Proceedings, Elsevier Ltd, Jan. 2022, pp. 1754–1759. doi: 10.1016/j.matpr.2022.04.370.
[9]N. Manikandan, K. Balasubramanian, D. Palanisamy, P. M. Gopal, D. Arulkirubakaran, and J. S. Binoj, “Machinability Analysis and ANFIS modelling on Advanced Machining of Hybrid Metal Matrix Composites for Aerospace Applications,” Materials and Manufacturing Processes, vol. 34, no. 16, pp. 1866–1881, Dec. 2019, doi: 10.1080/10426914.2019.1689264.
[10]D. Palanisamy, K. Balasubramanian, N. Manikandan, D. Arulkirubakaran, and R. Ramesh, “Machinability analysis of high strength materials with Cryo-Treated textured tungsten carbide inserts,” Materials and Manufacturing Processes, vol. 34, no. 5, pp. 502–510, Apr. 2019, doi: 10.1080/10426914.2019.1566612.
[11]K. Y. Song, G. H. Kim, and J. Shin, “A hybrid manufacturing process for a microgripper using selective laser melting 3D printing and wire EDM,” Journal of Mechanical Science and Technology, vol. 37, no. 4, pp. 1931–1937, Apr. 2023, doi: 10.1007/s12206-023-0330-z.
[12]D. Mathew Paulson, M. Saif, and M. Zishan, “Optimization of wire-EDM process of titanium alloy-Grade 5 using Taguchi’s method and grey relational analysis,” in Materials Today: Proceedings, Elsevier Ltd, Jan. 2023, pp. 144–153. doi: 10.1016/j.matpr.2022.06.376.
[13]A. Pramanik, M. N. Islam, A. K. Basak, Y. Dong, G. Littlefair, and C. Prakash, “Optimizing dimensional accuracy of titanium alloy features produced by wire electrical discharge machining,” Materials and Manufacturing Processes, vol. 34, no. 10, pp. 1083–1090, Jul. 2019, doi: 10.1080/10426914.2019.1628259.
[14]A. P. Stebner et al., “Transformation strains and temperatures of a nickel-titanium-hafnium high temperature shape memory alloy,” Acta Mater., vol. 76, pp. 40–53, Sep. 2014, doi: 10.1016/j.actamat.2014.04.071.
[15]V. Aggarwal, S. S. Khangura, and R. K. Garg, “Parametric modeling and optimization for wire electrical discharge machining of Inconel 718 using response surface methodology,” International Journal of Advanced Manufacturing Technology, vol. 79, no. 1–4, pp. 31–47, Jul. 2015, doi: 10.1007/s00170-015-6797-8.
[16]R. Soundararajan, A. Ramesh, N. Mohanraj, and N. Parthasarathi, “An investigation of material removal rate and surface roughness of squeeze casted A413 alloy on WEDM by multi response optimization using RSM,” J. Alloys Compd., vol. 685, pp. 533–545, Nov. 2016, doi: 10.1016/j.jallcom.2016.05.292.
[17]M. Divya, N. Sateesh, B. C. Nookaraju, A. A. Lakshmi, and S. Ram, “Multi performance optimisation of wire-cut EDM process parameters of Incoloy 800 alloy using grey relational analysis,” in Materials Today: Proceedings, Elsevier Ltd, 2021, pp. 2416–2420. doi: 10.1016/j.matpr.2020.12.464.
[18]S. Sivanaga Malleswara Rao, K. Venkata Rao, K. Hemachandra Reddy, and C. V. S. Parameswara Rao, “Prediction and optimization of process parameters in wire cut electric discharge machining for high-speed steel (HSS),” International Journal of Computers and Applications, vol. 39, no. 3, pp. 140–147, 2017, doi: 10.1080/1206212X.2017.1309219.
[19]H. Bisaria and P. Shandilya, “Surface Integrity of Ni-Rich NiTi Shape Memory Alloy at Optimized Level of Wire Electric Discharge Machining Parameters,” J. Mater. Eng. Perform., vol. 28, no. 12, pp. 7663–7675, Dec. 2019, doi: 10.1007/s11665-019-04477-2.
[20]A. Goyal and H. U. Rahman, “Experimental studies on Wire EDM for surface roughness and kerf width for shape memory alloy”, Sādhanā, vol. 46, no. 3, Art. no. 160, 2021, doi: 10.1007/s12046-021-01684-3.
[21]K. Mandal, S. Sarkar, S. Mitra, and D. Bose, “Analysis of Wire-EDM Input Parameters on Kerf Width and Surface Integrity for Al 6061 Alloy,” in Innovation in Materials Science and Engineering, Springer Singapore, 2019, pp. 35–41. doi: 10.1007/978-981-13-2944-9_5.
[22]A. Kumar et al., “Wire EDM process parameter optimization for D2 steel,” in Materials Today: Proceedings, Elsevier Ltd, 2021, pp. 2478–2482. doi: 10.1016/j.matpr.2020.08.295.
[23]J. Mohd Jani, M. Leary, A. Subic, and M. A. Gibson, “A review of shape memory alloy research, applications and opportunities,” Apr. 01, 2014, Elsevier Ltd. doi: 10.1016/j.matdes.2013.11.084.
[24]S. Ribeiro-Carvalho, R. B. D. Pereira, A. Horovistiz, and J. P. Davim, “Intelligent machining methods for Ti6Al4V: A review,” Aug. 01, 2021, SAGE Publications Ltd. doi: 10.1177/0954408920974795.
[25]T. R. Ablyaz, K. R. Muratov, and S. S. Sidhu, “Influence of parameters of electrical discharge machining on accuracty of manufacturing of small-sized products,” ARPN Journal of Engineering and Applied Sciences, vol. 13, no. 1, pp. 335–339, 2018.
[26]K. Zadafiya, Dinbandhu, S. Kumari, S. Chattarjee, and K. Abhishek, “Recent trends in non-traditional machining of shape memory alloys (SMAs): A review,” Jan. 01, 2021, Elsevier Ltd. doi: 10.1016/j.cirpj.2021.01.003.
[27]C. Velmurugan, V. Senthilkumar, S. Dinesh, and D. Arulkirubakaran, “Machining of NiTi-shape memory alloys-A review,” May 04, 2018, Taylor and Francis Inc. doi: 10.1080/10910344.2017.1365894.
[28]L. Li, X. T. Wei, Y. B. Guo, W. Li, and J. F. Liu, “Surface integrity of Inconel 718 by wire-EDM at different energy modes,” J. Mater. Eng. Perform., vol. 23, no. 8, pp. 3051–3057, 2014, doi: 10.1007/s11665-014-1048-y.
[29]N. Tata, R. K. Pacharu, and S. K. Devarakonda, “Multi response optimization of process parameters in wire-cut EDM on INCONEL 625,” in Materials Today: Proceedings, Elsevier Ltd, 2021, pp. 6960–6964. doi: 10.1016/j.matpr.2021.05.214.
[30]B. Narayana Reddy, R. Venkata Ramana, S. M. Jameel Basha, and T. Bhargava Ramu, “Studies on effect of wire EDM process parameters on machining characteristics of Inconel 825 plate,” Mater. Today Proc., May 2023, doi: 10.1016/j.matpr.2023.04.469.
[31]A. Nair, S. Kumanan, and K. P. Shanavas, “Multi-performance optimization in wire EDM of Inconel 617 using GRA and genetic algorithm,” in Materials Today: Proceedings, Elsevier Ltd, 2022, pp. 1354–1366. doi: 10.1016/j.matpr.2021.08.279.
[32]Z. Chen, H. Zhou, Z. Yan, F. Han, and H. Yan, “A new high-speed observation system for evaluating the spark location in WEDM of Inconel 718,” Journal of Materials Research and Technology, vol. 13, pp. 184–196, Jul. 2021, doi: 10.1016/j.jmrt.2021.04.064.
[33]S. K. Kar, P. K. Mishra, A. K. Sahu, S. S. Mahapatra, and J. Thomas, “Multi-objective optimization of wire-EDM of Inconel 625 by using desirability function approach,” International Journal on Interactive Design and Manufacturing, vol. 17, no. 2, pp. 931–938, Apr. 2023, doi: 10.1007/s12008-022-01184-6.
[34]H. Varol Ozkavak, M. M. Sofu, B. Duman, and S. Bacak, “Estimating surface roughness for different EDM processing parameters on Inconel 718 using GEP and ANN,” CIRP J. Manuf. Sci. Technol., vol. 33, pp. 306–314, May 2021, doi: 10.1016/j.cirpj.2021.04.007.
[35]B. Gugulothu, “Optimization of process parameters on EDM of titanium alloy,” in Materials Today: Proceedings, Elsevier Ltd, Jan. 2020, pp. 257–262. doi: 10.1016/j.matpr.2019.10.150.
[36]T. A. Spedding and Z. Q. Wang, “Parametric optimization and surface characterization of wire electrical discharge machining process,” Precision Engineering, vol. 20, no. 1, pp. 5–15, 1997, doi: 10.1016/s0141-6359(97)00003-2.
[37]P. M. Abhilash and D. Chakradhar, “Machine-vision-based electrode wear analysis for closed loop wire EDM process control,” Adv. Manuf., vol. 10, no. 1, pp. 131–142, Mar. 2022, doi: 10.1007/s40436-021-00373-y.
[38]S. Liu, S. Kimura, A. Okada, and T. Kitamura, “Optimization of Dielectric Oil Viscosity for High-precision Wire EDM,” in Procedia CIRP, Elsevier B.V., 2022, pp. 244–249. doi: 10.1016/j.procir.2022.09.153.
[39]S. A. Khan, M. Usman, S. Pervaiz, M. Q. Saleem, and R. Naveed, “Exploring the feasibility of novel coated wires in wire EDM of Ti-6Al-4 V aerospace alloy: a case of multi-pass strategy,” Journal of the Brazilian Society of Mechanical Sciences and Engineering, vol. 43, no. 5, May 2021, doi: 10.1007/s40430-021-02994-7.
[40]S. Chakraborty, S. Mitra, and D. Bose, “Evaluation of response characteristics using sensitivity analysis and TLBO technique of powder mixed wire EDM of Ti6Al4V alloy,” CIRP J. Manuf. Sci. Technol., vol. 47, pp. 260–272, Dec. 2023, doi: 10.1016/j.cirpj.2023.11.004.
[41]S. Y. Martowibowo and A. Wahyudi, “Taguchi Method Implementation in Taper Motion Wire EDM Process Optimization,” Journal of The Institution of Engineers (India): Series C, vol. 93, no. 4, pp. 357–364, Oct. 2012, doi: 10.1007/s40032-012-0043-z.
[42]V. R. Khullar, N. Sharma, S. Kishore, and R. Sharma, “RSM- and NSGA-II-Based Multiple Performance Characteristics Optimization of EDM Parameters for AISI 5160,” Arab. J. Sci. Eng., vol. 42, no. 5, pp. 1917–1928, May 2017, doi: 10.1007/s13369-016-2399-5.
[43]A. Faheem et al., “Parametric optimization of electric discharge machining of Ni 55.65Ti based shape memory alloy using NSGA II with TOPSIS,” Journal of Materials Research and Technology, vol. 26, pp. 1306–1324, Sep. 2023, doi: 10.1016/j.jmrt.2023.07.259.
[44]N. Chakala, P. S. Chandrabose, and C. S. P. Rao, “Optimisation of WEDM parameters on Nitinol alloy using RSM and desirability approach,” Australian Journal of Mechanical Engineering, vol. 19, no. 5, pp. 582–594, 2021, doi: 10.1080/14484846.2019.1681239.
[45]B. Singh and J. P. Misra, “Surface finish analysis of wire electric discharge machined specimens by RSM and ANN modeling,” Measurement (Lond)., vol. 137, pp. 225–237, Apr. 2019, doi: 10.1016/j.measurement.2019.01.044.
[46]A. Mogilicharla, P. Mittal, S. Majumdar, and K. Mitra, “Kriging surrogate based multi-objective optimization of bulk vinyl acetate polymerization with branching,” Materials and Manufacturing Processes, vol. 30, no. 4, pp. 394–402, Apr. 2015, doi: 10.1080/10426914.2014.921709.
[47]U. Küpper, T. Herrig, A. Klink, D. Welling, and T. Bergs, “Evaluation of the process performance in wire EDM based on an online process monitoring system,” in Procedia CIRP, Elsevier B.V., 2020, pp. 360–365. doi: 10.1016/j.procir.2020.02.325.
[48]B. Azhiri, R. Teimouri, M. Ghasemi Baboly, and Z. Leseman, “Application of Taguchi, ANFIS and grey relational analysis for studying, modeling and optimization of wire EDM process while using gaseous media,” International Journal of Advanced Manufacturing Technology, vol. 71, no. 1–4, pp. 279–295, 2014, doi: 10.1007/s00170-013-5467-y.
[49]Y. Guo, A. Klink, C. Fu, and J. Snyder, “Machinability and surface integrity of Nitinol shape memory alloy,” CIRP Ann. Manuf. Technol., vol. 62, no. 1, pp. 83–86, 2013, doi: 10.1016/j.cirp.2013.03.004.
[50]S. Hargovind, S. Narendranath, and M. R. Ramesh, “Advanced machining of TiNiCo shape memory alloys for biomedical applications,” Emerging Materials Research, vol. 8, no. 1, pp. 14–21, Mar. 2019, doi: 10.1680/jemmr.17.00066.
[51]S. Sharma, U. K. Vates, and A. Bansal, “Parametric optimization in wire EDM of D2 tool steel using Taguchi method,” in Materials Today: Proceedings, Elsevier Ltd, 2021, pp. 757–763. doi: 10.1016/j.matpr.2020.02.802.
[52]N. Sharma, K. Gupta, and J. P. Davim, “On wire spark erosion machining induced surface integrity of Ni 55.8 Ti shape memory alloys,” Archives of Civil and Mechanical Engineering, vol. 19, no. 3, pp. 680–693, May 2019, doi: 10.1016/j.acme.2019.02.004.
[53]M. Mehrpouya, A. M. Shahedin, S. D. S. Dawood, and A. K. Ariffin, “An investigation on the optimum machinability of NiTi based shape memory alloy,” Materials and Manufacturing Processes, vol. 32, no. 13, pp. 1497–1504, 2017, doi: 10.1080/10426914.2017.1279290.
[54]M. Subrahmanyam and T. Nancharaiah, “Optimization of process parameters in wire-cut EDM of Inconel 625 using Taguchi’s approach,” in Materials Today: Proceedings, Elsevier Ltd, 2020, pp. 642–646. doi: 10.1016/j.matpr.2019.05.449.
[55]B. K. Roy and A. Mandal, “Surface integrity analysis of Nitinol-60 shape memory alloy in WEDM,” Materials and Manufacturing Processes, vol. 34, no. 10, pp. 1091–1102, Jul. 2019, doi: 10.1080/10426914.2019.1628256.
[56]E. S. Shlykov, T. R. Ablyaz, K. R. Muratov, and D. I. Tokarev, “Influence of Wire EDM on the Surface Roughness of Products Obtained by Laser Surfacing,” Russian Engineering Research, vol. 40, no. 10, pp. 876–877, Oct. 2020, doi: 10.3103/S1068798X20100263.
[57]B. V and N. S, “MOGA and TOPSIS-based multi-objective optimization of wire EDM process parameters for Ni50.3-Ti29.7-Hf20 alloy,” CIRP J. Manuf. Sci. Technol., vol. 47, pp. 158–167, Dec. 2023, doi: 10.1016/j.cirpj.2023.09.005.
[58]J. Aldrin Raj, K. Balasubramanian, D. Palanisamy, and E. AGS, “Experimental investigations on WEDM process for machining High Manganese steel,” Materials and Manufacturing Processes, vol. 35, no. 14, pp. 1612–1621, Oct. 2020, doi: 10.1080/10426914.2020.1779941.
[59]A. Kumawat, A. Goyal, M. Dadhich, and R. Gupta, “Development and optimization of triangular profile by using wire EDM machining process,” in Materials Today: Proceedings, Elsevier Ltd, Jan. 2020, pp. 2369–2374. doi: 10.1016/j.matpr.2020.04.645.
[60]R. Bobbili, V. Madhu, and A. K. Gogia, “Multi response optimization of wire-EDM process parameters of ballistic grade aluminium alloy,” Engineering Science and Technology, an International Journal, vol. 18, no. 4, pp. 720–726, Dec. 2015, doi: 10.1016/j.jestch.2015.05.004.
[61]V. Kavimani, K. Soorya Prakash, and T. Thankachan, “Multi-objective optimization in WEDM process of graphene – SiC-magnesium composite through hybrid techniques,” Measurement (Lond)., vol. 145, pp. 335–349, Oct. 2019, doi: 10.1016/j.measurement.2019.04.076.
[62]S. Das and S. N. Joshi, “Measurement and analysis of molybdenum wire erosion and deformation during wire electric discharge machining of Ti-6Al-4V alloy,” Measurement (Lond)., vol. 179, Jul. 2021, doi: 10.1016/j.measurement.2021.109440.
[63]R. Chaudhari et al., “Multi-response optimization of WEDM process parameters for machining of superelastic nitinol shape-memory alloy using a heat-transfer search algorithm,” Materials, vol. 12, no. 8, 2019, doi: 10.3390/ma12081277.
[64]H. Soni, N. S. Narendranath, and M. Ramesh, “Experimental Investigation on Effects of Wire Electro Discharge Machining of Ti50Ni45Co5 Shape Memory Alloys,” Silicon, vol. 10, no. 6, pp. 2483–2490, Nov. 2018, doi: 10.1007/s12633-018-9780-9.
[65]N. Sharma, T. Raj, and K. K. Jangra, “Parameter optimization and experimental study on wire electrical discharge machining of porous Ni40Ti60 alloy,” Proc. Inst. Mech. Eng. B J. Eng. Manuf., vol. 231, no. 6, pp. 956–970, May 2017, doi: 10.1177/0954405415577710.
[66]R. Maurya, R. K. Porwal, and V. Kumar, “Experimental investigation & modelling of wire EDM process during machining of Nicrofer 5716,” in Materials Today: Proceedings, Elsevier Ltd, 2020, pp. 1184–1190. doi: 10.1016/j.matpr.2020.02.239.
[67]T. R. Ablyaz and R. V. Lesnikov, “Influence of the wire EDM conditions on the cut width,” Russian Engineering Research, vol. 36, no. 9, pp. 786–787, Sep. 2016, doi: 10.3103/S1068798X16090033.
[68]J. F. Liu, C. Li, X. Y. Fang, J. B. Jordon, and Y. B. Guo, “Effect of wire-EDM on fatigue of nitinol shape memory alloy,” Materials and Manufacturing Processes, vol. 33, no. 16, pp. 1809–1814, Dec. 2018, doi: 10.1080/10426914.2018.1512125.
[69]T. Bergs, L. Welschof, T. Herrig, and A. Klink, “Energetic characterization of trim cut process signals in wire EDM,” in Procedia CIRP, Elsevier B.V., 2020, pp. 262–267. doi: 10.1016/j.procir.2020.02.281.
[70]V. N. Kulkarni, V. N. Gaitonde, S. R. Karnik, M. Manjaiah, and J. Paulo Davim, “Machinability analysis and optimization in wire EDM of medical grade NiTiNOL memory alloy,” Materials, vol. 13, no. 9, May 2020, doi: 10.3390/ma13092184.
[71]R. M. Kirwin, J. C. Moller, and M. P. Jahan, “Modification and adaptation of wire lag model based on surface feed for improving accuracy in wire EDM of Ti-6Al-4V alloy,” International Journal of Advanced Manufacturing Technology, vol. 117, no. 9–10, pp. 2909–2920, Dec. 2021, doi: 10.1007/s00170-021-07870-1.
[72]T. Suresh, P. Aruneash, S. Gunasekar, and B. Janakiraman, “Comparison of Brass and Zinc Coated Wire Electrode Using Wire Cut EDM Concerning MRR of Machining SS304,” Int. J. Innov. Res. Sci. Eng. Technol., vol. 6, no. 3, pp. 4970–4976, 2017.
[73]M. U. Farooq et al., “Curved profiles machining of Ti6Al4V alloy through WEDM: investigations on geometrical errors,” Journal of Materials Research and Technology, vol. 9, no. 6, pp. 16186–16201, Nov. 2020, doi: 10.1016/j.jmrt.2020.11.067.
[74]A. Kumar, T. Soota, and J. Kumar, “Optimisation of wire-cut EDM process parameter by Grey-based response surface methodology,” Journal of Industrial Engineering International, vol. 14, no. 4, pp. 821–829, Dec. 2018, doi: 10.1007/s40092-018-0264-8.
[75]A. Payla, K. Chopra, and E. K. Mussada, “Investigations on power consumption in WEDM of EN31 steel for sustainable production,” Materials and Manufacturing Processes, vol. 34, no. 16, pp. 1855–1865, Dec. 2019, doi: 10.1080/10426914.2019.1683577.
[76]C. S. Manda, B. S. Babu, and N. Ramaniah, “Effect of Heat Treatment on Mechanical properties of Aluminium metal matrix composite (AA6061/MoS2),” Advances in Materials and Processing Technologies, vol. 8, no. sup1, pp. 205–222, 2022, doi: 10.1080/2374068X.2020.1860593.
[77]N. Sharma, R. Khanna, and R. D. Gupta, “WEDM process variables investigation for HSLA by response surface methodology and genetic algorithm,” Engineering Science and Technology, an International Journal, vol. 18, no. 2, pp. 171–177, Jun. 2015, doi: 10.1016/j.jestch.2014.11.004.
[78]S. Lal, S. Kumar, Z. A. Khan, and A. N. Siddiquee, “Multi-response optimization of wire electrical discharge machining process parameters for Al7075/Al2O3/SiC hybrid composite using Taguchi-based grey relational analysis,” Proc. Inst. Mech. Eng. B J. Eng. Manuf., vol. 229, no. 2, pp. 229–237, 2015, doi: 10.1177/0954405414526382.
[79]J. Johnson and A. Sankar, “IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY OPTIMIZATION OF WIRE ELECTRIC DISCHARGE MACHINING PARAMETERS ON Al 6061,” Int. J. Eng. Sci. Res. Technol., doi: 10.5281/zenodo.1218683.
[80]R. V. M, B. V, and N. S, “Optimization of wire-EDM process parameters for Ni–Ti-Hf shape memory alloy through particle swarm optimization and CNN-based SEM-image classification,” Results in Engineering, vol. 18, Jun. 2023, doi: 10.1016/j.rineng.2023.101141.
[81]C. Camposeco-Negrete, “Prediction and optimization of machining time and surface roughness of AISI O1 tool steel in wire-cut EDM using robust design and desirability approach,” International Journal of Advanced Manufacturing Technology, vol. 103, no. 5–8, pp. 2411–2422, Aug. 2019, doi: 10.1007/s00170-019-03720-3.
[82]A. Goyal, A. Garimella, and P. Saini, “Optimization of surface roughness by design of experiment techniques during wire EDM machining,” in Materials Today: Proceedings, Elsevier Ltd, 2021, pp. 3195–3197. doi: 10.1016/j.matpr.2021.06.302.
[83]G. Narendranath and J. Udaya Prakash, “Effect of wire EDM process parameters on material removal rate of duplex stainless steel (S31803),” in Materials Today: Proceedings, Elsevier Ltd, 2023, pp. 424–429. doi: 10.1016/j.matpr.2023.05.643.
[84]D. Pramanik, A. S. Kuar, and D. Bose, “Effects of Wire EDM Machining Variables on Material Removal Rate and Surface Roughness of Al 6061 Alloy,” in Renewable Energy and its Innovative Technologies, Springer Singapore, 2019, pp. 231–241. doi: 10.1007/978-981-13-2116-0_19.
[85]O. O. Khalifa, A. Densibali, and W. Faris, “Image processing for chatter identification in machining processes,” International Journal of Advanced Manufacturing Technology, vol. 31, no. 5–6, pp. 443–449, Dec. 2006, doi: 10.1007/s00170-005-0233-4.
[86]R. Lencina, C. Caletti, K. Brunelli, and R. Micone, “Assessing Wear Performance of Two High-carbon Hadfield Steels Through Field Tests in the Mining Industry,” Procedia Materials Science, vol. 9, pp. 358–366, 2015, doi: 10.1016/j.mspro.2015.05.005.
[87]Y. ZHANG, G. ZHANG, Z. ZHANG, Y. ZHANG, and Y. HUANG, “Effect of assisted transverse magnetic field on distortion behavior of thin-walled components in WEDM process,” Chinese Journal of Aeronautics, vol. 35, no. 2, pp. 291–307, Feb. 2022, doi: 10.1016/j.cja.2020.10.034.
[88]S. S. Baraskar, S. S. Banwait, and S. C. Laroiya, “Multiobjective optimization of electrical discharge machining process using a hybrid method,” Materials and Manufacturing Processes, vol. 28, no. 4, pp. 348–354, Apr. 2013, doi: 10.1080/10426914.2012.700152.
[89]H. Bisaria and P. Shandilya, “Experimental studies on electrical discharge wire cutting of Ni-rich NiTi shape memory alloy,” Materials and Manufacturing Processes, vol. 33, no. 9, pp. 977–985, Jul. 2018, doi: 10.1080/10426914.2017.1388518.
[90]S. Anurag, “Wire-EDM: a potential manufacturing process for gamma titanium aluminides in future aero engines,” International Journal of Advanced Manufacturing Technology, vol. 94, no. 1–4, pp. 351–356, Jan. 2018, doi: 10.1007/s00170-017-0899-4.
[91]C. H. Fu, J. F. Liu, and A. Guo, “Statistical characteristics of surface integrity by fiber laser cutting of Nitinol vascular stents,” Appl. Surf. Sci., vol. 353, pp. 291–299, Oct. 2015, doi: 10.1016/j.apsusc.2015.06.105.
[92]K. Mouralova, J. Kovar, L. Klakurkova, J. Bednar, L. Benes, and R. Zahradnicek, “Analysis of surface morphology and topography of pure aluminium machined using WEDM,” Measurement (Lond)., vol. 114, pp. 169–176, Jan. 2018, doi: 10.1016/j.measurement.2017.09.040.
[93]B. Ahmad and M. E. Fitzpatrick, “Minimization and Mitigation of Wire EDM Cutting Errors in the Application of the Contour Method of Residual Stress Measurement,” Metall. Mater. Trans. A Phys. Metall. Mater. Sci., vol. 47, no. 1, pp. 301–313, Jan. 2016, doi: 10.1007/s11661-015-3231-7.
[94]K. Kanlayasiri and S. Boonmung, “Effects of wire-EDM machining variables on surface roughness of newly developed DC 53 die steel: Design of experiments and regression model,” J. Mater. Process. Technol., vol. 192–193, pp. 459–464, Oct. 2007, doi: 10.1016/j.jmatprotec.2007.04.085.
[95]K. Balasubramanian, M. Nataraj, and P. Duraisamy, “Machinability analysis and application of response surface approach on CNC turning of LM6/SiCp composites,” Materials and Manufacturing Processes, vol. 34, no. 12, pp. 1389–1400, Sep. 2019, doi: 10.1080/10426914.2019.1660787.
[96]M. Fakkir Mohamed and K. Lenin, “Optimization of Wire EDM process parameters using Taguchi technique,” in Materials Today: Proceedings, Elsevier Ltd, 2020, pp. 527–530. doi: 10.1016/j.matpr.2019.06.662.
[97]S. K. Sahoo, S. S. Naik, and J. Rana, “Optimisation of WEDM process parameters during machining of HCHCr steel using TOPSIS method,” 2019.
[98]J. Udaya Prakash, P. Sivaprakasam, S. Jebarose Juliyana, S. Ananth, C. Sarala Rubi, and A. Divya Sadhana, “Multi-objective optimization using grey relational analysis for wire EDM of aluminium matrix composites,” in Materials Today: Proceedings, Elsevier Ltd, Jan. 2023, pp. 2395–2401. doi: 10.1016/j.matpr.2022.09.415.