Markus Schewe , Isabelle Noll , Thorsten Bartel , Andreas Menzel
{"title":"Towards the simulation of metal deposition with the Particle Finite Element Method and a phase transformation model","authors":"Markus Schewe , Isabelle Noll , Thorsten Bartel , Andreas Menzel","doi":"10.1016/j.cma.2025.117730","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55222,"journal":{"name":"Computer Methods in Applied Mechanics and Engineering","volume":"437 ","pages":"Article 117730"},"PeriodicalIF":6.9000,"publicationDate":"2025-01-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Methods in Applied Mechanics and Engineering","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0045782525000027","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
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.
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.