Reference : On the Reduction of Computational Costs for Tungsten Powder Bed Processes

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Physical, chemical, mathematical & earth Sciences : Chemistry
	Focus Areas :	Physics and Materials Science
	To cite this reference:	http://hdl.handle.net/10993/54512

Title :	On the Reduction of Computational Costs for Tungsten Powder Bed Processes
Language :	English
Author, co-author :	Estupinan Donoso, Alvaro Antonio [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS) >]
	Aminnia, Navid [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Peters, Bernhard [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Engineering (DoE) >]
	Michels, Andreas [University of Luxembourg > Faculty of Science, Technology and Medicine (FSTM) > Department of Physics and Materials Science (DPHYMS) >]
Publication date :	31-May-2022
Peer reviewed :	Yes
On invitation :	No
Audience :	International
Event name :	20 Plansee seminar
Event date :	May30-June 3 2022
Event organizer :	Plansee
Event place (city) :	Reutte
Event country :	Austria
Keywords :	[en] Coupled CFD-DEM ; tungsten oxide ; reduction ; oxidation ; discrete element method ; cfd ; computational cost
Abstract :	[en] During the Discrete Element Method (DEM) representation of powder bed processes (e.g. tungsten oxide reduction, tungsten carbide synthesis, selective laser sintering) a numerical solution for each single particle is impractical due to the extremely high number of particles (e.g. 10^12). However, in such processes, particles in the vicinity of each other observe low gradients concerning their thermodynamic state. This characteristic can be exploited to avoid solving repeatedly numerically equivalent equation systems. This contribution presents two numerical methods aiming to reduce the computational costs of DEM approaches for the thermochemical conversion of powder beds. In the two methods after an appropriated numerical treatment, a group of particles under similar boundary conditions is substituted by a single-effective-entity. Consequently, the entire powder space is divided into sub-domains to be solved. The methods result in considerable lower number of equations that increase computational efficiency and enable feasible time simulations. The applications of the industrial synthesis of tungsten powders and the selective laser sintering (SLS) of powder metals are presented and discussed.
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/10993/54512
Other URL :	https://www.plansee-seminar.com
FnR project :	FnR ; FNR13564670 > Alvaro Antonio Estupinan Donoso > TuCaNG, for Tungsten Carbide Nucleation and Growth > Experimental And Numerical Investigation On Synthesis Of Tungsten And Tungsten Carbide > 01/05/2020 > 30/04/2023 > 2019

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