Article (Scientific journals)
Predicting Tungsten Oxide Reduction with the Extended Discrete Element Method
Estupinan Donoso, Alvaro Antonio; Peters, Bernhard
2015In Advances in Powder Metallurgy & Particulate Materials, (Proceedings of the 2015 International Conference on Powder Metallurgy Particulate Materials), p. 02.35--02.48
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Keywords :
tungsten; Powder metallurgy; Xdem
Abstract :
[en] During technical reduction of tungsten trioxide powder in hydrogen atmospheres, the local temperature and the ratio of water vapor to hydrogen partial pressures govern the conversion rate. Water vapor removal rate not only affects the conversion progress, but also drives the final metallic tungsten powder size distribution. The amount of water vapor inside the bed depends on the hydrogen flow, the height of powder beds and the size characteristics of the initial oxide. The chemically aggressive environment and high temperatures make it difficult to do the measurements inside the reactors for studying or control the process. On the other hand, multi-physics computational techniques help to understand the evolution of the complex phenomena involved in the process. This contribution presents the eXtended Discrete Element Method as a novel approach to investigate the complex thermochemical conversion of tungsten oxides into tungsten metal. The recently emerged technique is based on a coupled discrete and continuous numerical simulation framework. In the study, an advanced and consolidated two-phase Computational Fluid Dynamics (CFD) tool for porous media represents gaseous phase penetration and transport. The discrete feedstock description includes one-dimensional and transient distributions of temperature and species for each powder particle. This allows gaining a new and valuable insight into the process, which may lead into finer tungsten powder production, and consequently more resistant tungsten carbide products. Transient and spatial results for powder composition, gas species as well as a mass loss comparison with experimental data for non-isothermal hydrogen reduction of tungsten trioxide are demonstrated and discussed.
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 :
Predicting Tungsten Oxide Reduction with the Extended Discrete Element Method
Publication date :
2015
Journal title :
Advances in Powder Metallurgy & Particulate Materials
ISSN :
1546-7724
Publisher :
APMI international, San Diego, Unknown/unspecified
Metal Powder Industries Federation, San Diego, Unknown/unspecified
Issue :
Proceedings of the 2015 International Conference on Powder Metallurgy Particulate Materials
Pages :
02.35--02.48
Peer reviewed :
Peer reviewed
Commentary :
978-1-943694-01-3 02
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