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Optimized distribution of a large number of power electronics components cooled by conjugate turbulent natural convection
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
Univ Poitiers, ENSMA, CNRS, Inst PPRIME, BP 40109, F-86961 Futuroscope, France..
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Electricity.
2017 (English)In: Applied Thermal Engineering, ISSN 1359-4311, E-ISSN 1873-5606, Vol. 124, 975-985 p.Article in journal (Refereed) Published
Abstract [en]

Natural convection allows for passive cooling which is used in many engineering applications. Placing dissipating components on a common vertical heatsink can be optimized to give the best possible cooling capacity. In this study, a numerical model for three-dimensional conjugated convective and conductive heat transfer was used to evaluate the distribution of up to 36 flush-mounted rectangular heaters. The temperature profiles and the heat fluxes were compared with experimental data for validation. The dissipated power was set as an input parameter and the optimal distribution was selected as the one with the lowest temperature elevation. Two different heuristics-a geometric parameter and an artificial neural network-were proposed and evaluated as alternatives to heavy CFD calculations.

Place, publisher, year, edition, pages
2017. Vol. 124, 975-985 p.
Keyword [en]
Optimization, Discrete heating, Conjugate natural convection, Artificial neural network, Computational Fluid Dynamic
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:uu:diva-333749DOI: 10.1016/j.applthermaleng.2017.06.058ISI: 000407185000092OAI: oai:DiVA.org:uu-333749DiVA: diva2:1157779
Available from: 2017-11-16 Created: 2017-11-16 Last updated: 2017-11-16Bibliographically approved

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Baudoin, AntoineBoström, Cecilia

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