Computational model and simulation of the solid-state sintering process as a thermal treatment for metal extrusion additive manufacturing: Microstructural and Multiphysics approach

A numerical model has been developed to simulate microstructure evolution in stainless steel 316L components produced via Metal Extrusion Additive Manufacturing (MExAM). The model integrates key phenomena, including heat conduction, mechanical fields influenced by gravity, and phase-field equations, offering a robust framework to understand and control changes in thermomechanical properties during pressureless solid-state sintering. Advanced numerical techniques, such as the Finite Element Method (FEM) and the Physics-based Preconditioned Jacobian-free Newton-Krylov Method, were employed to solve the complex nonlinear system efficiently. Validation against literature data demonstrated the model’s accuracy and reliability, while tests across varying particle sizes highlighted its adaptability. Simulation results underscore the model’s potential for optimizing sintered materials by providing detailed insights into microstructural, thermal, and mechanical behavior. • Multiphysics approach based on the Phase-Field, Heat conduction, and Mechanical equations. • Numerical techniques: Finite Element and Physics-based Preconditioned Jacobian-free Newton-Krylov Methods. • Validation against literature data and tests demonstrated the model’s accuracy, reliability, and adaptability. • Simulation results provide detailed insights into microstructural and thermomechanical behavior.

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Publication Details

Journal
Computer Methods in Applied Mechanics and Engineering
Published
2025-04-15
DOI
https://doi.org/10.1016/j.cma.2025.117978
Citations
5
Primary Topic
Additive Manufacturing Materials and Processes
Type
article
Field-Weighted Citation Impact
3.57
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article

Computational model and simulation of the solid-state sintering process as a thermal treatment for metal extrusion additive manufacturing: Microstructural and Multiphysics approach

Saïd Abboudi, Judice Cumbunga, Dominique Chamoret
5 citations
Computer Methods in Applied Mechanics and Engineering
Additive Manufacturing Materials and Processes
3.57
article

Computational model and simulation of the solid-state sintering process as a thermal treatment for metal extrusion additive manufacturing: Microstructural and Multiphysics approach

Saïd Abboudi, Judice Cumbunga, Dominique Chamoret
article en
5 citations

Abstract

A numerical model has been developed to simulate microstructure evolution in stainless steel 316L components produced via Metal Extrusion Additive Manufacturing (MExAM). The model integrates key phenomena, including heat conduction, mechanical fields influenced by gravity, and phase-field equations, offering a robust framework to understand and control changes in thermomechanical properties during pressureless solid-state sintering. Advanced numerical techniques, such as the Finite Element Method (FEM) and the Physics-based Preconditioned Jacobian-free Newton-Krylov Method, were employed to solve the complex nonlinear system efficiently. Validation against literature data demonstrated the model’s accuracy and reliability, while tests across varying particle sizes highlighted its adaptability. Simulation results underscore the model’s potential for optimizing sintered materials by providing detailed insights into microstructural, thermal, and mechanical behavior. • Multiphysics approach based on the Phase-Field, Heat conduction, and Mechanical equations. • Numerical techniques: Finite Element and Physics-based Preconditioned Jacobian-free Newton-Krylov Methods. • Validation against literature data and tests demonstrated the model’s accuracy, reliability, and adaptability. • Simulation results provide detailed insights into microstructural and thermomechanical behavior.

Computer Methods in Applied Mechanics and EngineeringVol. 441
Centre National de la Recherche Scientifique (FR), Agostinho Neto University (AO), Université de technologie de belfort-montbéliard (FR), Laboratoire Interdisciplinaire Carnot de Bourgogne (FR), Université Marie et Louis Pasteur (FR)
Industry, innovation and infrastructure
Openalex Percentile: Top 8%
Additive Manufacturing Materials and Processes
3.57
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