Article (Scientific journals)
Exploring a Multiphysics Resolution Approach for Additive Manufacturing
Estupinan Donoso, Alvaro Antonio; Peters, Bernhard
2018In JOM
Peer reviewed
 

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Keywords :
additive manufacturing; XDEM; SLM; lpbf
Abstract :
[en] Metal additive manufacturing (AM) is a fast-evolving technology aiming to efficiently produce complex parts while saving resources. Worldwide, active research is being performed to solve the existing challenges of this growing technique. Constant computational advances have enabled multiscale and multiphysics numerical tools that complement the traditional physical experimentation. In this contribution, an advanced discrete--continuous concept is proposed to address the physical phenomena involved during laser powder bed fusion. The concept treats powder as discrete by the extended discrete element method, which predicts the thermodynamic state and phase change for each particle. The fluid surrounding is solved with multiphase computational fluid dynamics techniques to determine momentum, heat, gas and liquid transfer. Thus, results track the positions and thermochemical history of individual particles in conjunction with the prevailing fluid phases' temperature and composition. It is believed that this methodology can be employed to complement experimental research by analysis of the comprehensive results, which can be extracted from it to enable AM processes optimization for parts qualification.
Disciplines :
Materials science & engineering
Author, co-author :
Estupinan Donoso, Alvaro Antonio  ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
Peters, Bernhard ;  University of Luxembourg > Faculty of Science, Technology and Communication (FSTC) > Engineering Research Unit
External co-authors :
no
Language :
English
Title :
Exploring a Multiphysics Resolution Approach for Additive Manufacturing
Publication date :
11 June 2018
Journal title :
JOM
ISSN :
1543-1851
Special issue title :
Additive Manufacturing: Integrated Computational and Experimental Methods
Peer reviewed :
Peer reviewed
Available on ORBilu :
since 12 June 2018

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