The Finite Cell Method for Simulation of Additive Manufacturing

Stefan Kollmannsberger, Davide D’Angella, Massimo Carraturo, Alessandro Reali, Ferdinando Auricchio, Ernst Rank

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

Additive manufacturing processes are driven by moving laser-induced thermal sources which induce strong heat fluxes and fronts of phase change coupled to mechanical fields. Their numerical simulation poses several challenges, e.g. the evolution of the (possibly complex) domain as the specimen is produced and the differences in scales of the problem. In this work, the first aspect is addressed using the Finite Cell Method, an immersed approach that removes the need for meshing and is able to accurately handle complex geometries. For the second aspect we develop a framework with local refinement to selectively increase accuracy where needed, and derefinement in previously refined regions far from the laser source to keep the overall computational cost constant throughout the simulation. In this work, we present the essential theoretical fundament of the computational framework. Then, we show its application to model additive manufacturing processes in various examples, including experimental validation.

Original languageEnglish
Title of host publicationLecture Notes in Applied and Computational Mechanics
PublisherSpringer Science and Business Media Deutschland GmbH
Pages355-375
Number of pages21
DOIs
StatePublished - 2022

Publication series

NameLecture Notes in Applied and Computational Mechanics
Volume98
ISSN (Print)1613-7736
ISSN (Electronic)1860-0816

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