Towards the simulation of metal deposition with the Particle Finite Element Method and a phase transformation model

IF 6.9 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-01-23 DOI:10.1016/j.cma.2025.117730
Markus Schewe , Isabelle Noll , Thorsten Bartel , Andreas Menzel
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Abstract

The present paper establishes a simulation framework for modelling the deposition and solidification of steel melt in Directed Energy Deposition with a Laser Beam (DED-LB) by using the Particle Finite Element Method (PFEM). Unlike traditional finite element methods, the remeshing framework makes it possible to resolve the interaction between molten metal and substrate upon deposition, solidification and cooling, which provides a framework for accurately predicting residual stresses and distortion in the final part. The material model incorporates a liquid–solid phase transformation described by phase fractions, allowing for a precise definition of transformation stretches, latent heat and fundamental changes in the constitutive behaviour, whereas a purely temperature dependent phase evolution keeps the numerical cost manageable. While focusing on a two-dimensional (2d) simulation for simplicity and observability of the mesh adaptation, the methodology is extensible to a 3d setting. Key advancements include refined remeshing techniques of the connection zone and a large strain melt and solidification material model. The simulation results demonstrate the potential of the proposed framework for capturing critical aspects of DED-LB processes, laying the basis for extensive process simulations.
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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