Szczegóły publikacji
Opis bibliograficzny
Multiphysics thermo-fluid modeling and experimental validation of crater formation and rim development in EDM of inconel C-276 / Panagiotis KARMIRIS-OBRATAŃSKI // Simulation Modelling Practice and Theory : International Journal of the Federation of European Simulation Societies ; ISSN 1569-190X. — 2025 — vol. 141 art. no. 103097, 1–14. — Bibliogr. s. 12-14, Abstr. — Publikacja dostępna online od: 2025-02-27
Autor
Słowa kluczowe
Dane bibliometryczne
| ID BaDAP | 159767 |
|---|---|
| Data dodania do BaDAP | 2025-05-28 |
| Tekst źródłowy | URL |
| DOI | 10.1016/j.simpat.2025.103097 |
| Rok publikacji | 2025 |
| Typ publikacji | artykuł w czasopiśmie |
| Otwarty dostęp |  |
| Czasopismo/seria | Simulation Modelling Practice and Theory |
Abstract
Electric Discharge Machining (EDM) is a non-conventional process well-suited for machining hard-to-machine materials, offering high dimensional accuracy and an acceptable surface finish where traditional methods fall short. This study investigates the machining of Hastelloy C-276 using a composite copper-tungsten electrode through a combined experimental approach and a multiphysics thermo-fluid FEM model to simulate crater formation. The model incorporates a Gaussian heat source, energy absorption coefficients, and molten material flow under plasma pressure gradients, considering latent heat, mushy zone viscosity, and temperature-dependent thermophysical properties. Results indicate that optimizing plasma flushing efficiency (∼30 %) at low current and pulse-on time (9 A, 50 µs) enhances material removal while minimizing white layer formation. Higher pulse-on times lead to increased white layer thickness, stabilizing at 25 [A] and 200 [µs]. Surface roughness rises by 33.3 % at 9 [A] and up to 40 % at 25 [A] as pulse duration extends from 50 to 200 µs, highlighting the influence of increased energy input. The model accurately predicts material removal rates and white layer thicknesses, with deviations of 1–5 % from experimental results. These findings provide insights for optimizing EDM parameters to balance material removal efficiency, surface integrity, and process stability.
