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Investigation into the performance of turbulence models for fluid flow and heat transfer phenomena in electronic applications

Investigation into the performance of turbulence models for fluid flow and heat transfer phenomena in electronic applications

Dhinsa, K., Bailey, C. and Pericleous, K. ORCID: 0000-0002-7426-9999 (2004) Investigation into the performance of turbulence models for fluid flow and heat transfer phenomena in electronic applications. In: 2004 Proceedings, Twentieth IEEE Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM). Institute of Electrical and Electronics Engineers, Inc,, Piscataway, NJ, USA, pp. 278-285. ISBN 078038363X ISSN 1065-2221 (doi:10.1109/STHERM.2004.1291335)

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Abstract

Computational Fluid Dynamics (CFD) is gradually becoming a powerful and almost essential tool for the design, development and optimization of engineering applications. However the mathematical modelling of the erratic turbulent motion remains the key issue when tackling such flow phenomena. The reliability of CFD analysis depends heavily on the turbulence model employed together with the wall functions implemented. In order to resolve the abrupt changes in the turbulent energy and other parameters situated at near wall regions a particularly fine mesh is necessary which inevitably increases the computer storage and run-time requirements.

Turbulence modelling can be considered to be one of the three key elements in CFD. Precise mathematical theories have evolved for the other two key elements, grid generation and algorithm development. The principal objective of turbulence modelling is to enhance computational procedures of efficient accuracy to reproduce the main structures of three dimensional fluid flows.

The flow within an electronic system can be characterized as being in a transitional state due to the low velocities and relatively small dimensions encountered. This paper presents simulated CFD results for an investigation into the predictive capability of turbulence models when considering both fluid flow and heat transfer phenomena. Also a new two-layer hybrid kε / kl turbulence model for electronic application areas will be presented which holds the advantages of being cheap in terms of the computational mesh required and is also economical with regards to run-time.

Item Type: Conference Proceedings
Title of Proceedings: 2004 Proceedings, Twentieth IEEE Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM)
Additional Information: [1] This paper was first presented at the Twentieth IEEE Semiconductor Thermal Measurement and Management Symposium (SEMI-THERM) held from 9-11 March 2004 in San Jose, California, USA. [2] ISBN: 078038363X (Softbound); 0780383648 (CD-ROM). [3] A journal article with the same title "Investigation into the performance of turbulence models for fluid flow and heat transfer phenomena in electronic applications" and by the same authors is published in IEEE Transactions on Components and Packaging Technologies, 28 (4). pp. 686-699. This is recorded in GALA Item 903.
Uncontrolled Keywords: computational fluid dynamics, CFD, thermal management, turbulence models, heat transfer, transitional flow, Reynolds number, recirculation vortex
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Q Science > QC Physics
T Technology > TP Chemical technology
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/835

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