Physics-Based Modelling of Plasma-Material Interactions and Phase Transformations in Electrical Discharge Machining: A Computational Materials Perspective
Kamlesh Paswan1, Rajnish Singh2, Vivekanand Singh3, Brihaspati Singh4, Ankur Saxena5, Chandrmani Yadav6,*
1 Department of Mechanical Engineering, Galgotias University, Greater Noida, India
2 Department of Mechanical Engineering, Kamla Nehru Institute of Technology, Sultanpur, India
3 Rajkiya Engineering College, Ambedkar Nagar, Uttar Pradesh, India
4 Department of Mechanical Engineering, Rajkiya Engineering College, Azamgarh, India
5 Department of Electronics and Communication Engineering, University Institute of Emerging and Technologies, Guru Nanak University, Ibrahimpatnam, Hyderabad, India
6 Marwadi University Research Centre, Department of Mechanical Engineering, Faculty of Engineering & Technology, Marwadi University, Rajkot, India
* Corresponding Author: Chandrmani Yadav. Email: 
(This article belongs to the Special Issue: Mechanical Behavior of Materials with Advanced Modeling and Characterization)
Computers, Materials & Continua https://doi.org/10.32604/cmc.2026.080581
Received 25 February 2026; Accepted 30 April 2026; Published online 26 May 2026
Abstract
Electrical Discharge Machining (EDM) is governed by highly coupled, nonlinear electro-thermal-mechanical phenomena involving plasma-mediated energy transfer, rapid heat conduction, phase transformation, and resolidification over micro to nanosecond time scales. From a computational materials science perspective, EDM serves as a prototypical problem of extreme, localised energy–matter interaction, where predictive modelling requires rigorous treatment of multiphysics coupling and scale bridging. This review presents a critical synthesis of theoretical and numerical frameworks for modelling advanced EDM configurations, including vibration-assisted and turning-based EDM, powder- and nano-additive-assisted EDM, and alternative dielectric environments. The review consolidates continuum-based formulations that describe the evolution of the electric field, plasma channel dynamics, and transient heat transfer, typically governed by Maxwell’s equations coupled with Fourier and non-Fourier heat conduction models. Thermo-fluid and thermo-mechanical models accounting for melt flow, recoil pressure, surface tension, and thermal stress evolution are analysed for their ability to predict crater geometry, recast layer formation, and subsurface damage. The influence of externally imposed perturbations such as mechanical vibration, relative rotational kinematics, and particle-mediated plasma modulation is discussed through modifications in boundary conditions, energy partition coefficients, and effective transport properties. Multiscale modelling strategies that bridge discharge-scale plasma physics with mesoscale thermal fields and microscale material response are critically reviewed, including hybrid finite element–finite volume schemes and reduced-order models. In parallel, data-driven surrogate models and machine learning approaches are examined for parameter inference, uncertainty reduction, and rapid prediction of material behaviour. Major challenges related to model closure, scale separation, and experimental validation are identified, and future research directions are outlined toward fully coupled multiscale and digital twin frameworks for predictive EDM-induced material response.
Keywords
Electrical discharge machining; plasma–material interaction; multiphysics and multiscale modelling; phase transformation; thermo-mechanical effects; machine learning-assisted EDM
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