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Computational fluid dynamics: advancements in technology for modeling iron and steelmaking processes

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. and Pericleous, K. ORCID: 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

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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
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: 14 Oct 2016 09:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/969

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