Computational fluid dynamics: advancements in technology for modeling iron and steelmaking processes
Cross, M., Croft, T. N., McBride, D., Slone, A. K., Williams, A. J., Bailey, C. ORCID: https://orcid.org/0000-0002-9438-3879 and Pericleous, K. ORCID: https://orcid.org/0000-0002-7426-9999 (2006) Computational fluid dynamics: advancements in technology for modeling iron and steelmaking processes. AIST Transactions - Iron and Steel Technology, 3 (7). pp. 155-163. ISSN 1547-0423
Full text not available from this repository.Abstract
Computational fluid dynamics (CFD) software technology has formed the basis of many investigations into the behavior and optimization of primary iron and steelmaking processes for the last 25+ years. The objective of this contribution is to review the progress in CFD technologies over the last decade or so and how this can be brought to bear in advancing the process analysis capability of primary ferrous operations. In particular, progress on key challenges such as compute performance, fluid-structure transformation and interaction, and increasingly complex geometries are highlighted.
Item Type: | Article |
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Additional Information: | Paper says it is Vol 3, No. 7 but publisher website lists it as Vol 3, No. 9. PR-PM0906-7 - 2006/09 AIST Iron & Steel Technology September |
Uncontrolled Keywords: | computational fluid dynamics, modeling iron, steelmaking processes, ferrous operations, |
Subjects: | T Technology > TN Mining engineering. Metallurgy Q Science > QA Mathematics |
Pre-2014 Departments: | School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Department of Computer Systems Technology School of Computing & Mathematical Sciences > Department of Mathematical Sciences |
Related URLs: | |
Last Modified: | 13 Mar 2019 11:32 |
URI: | http://gala.gre.ac.uk/id/eprint/969 |
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