Journal Published Online: 27 October 2017
Volume 6, Issue 5

Solution of 2-D Inverse Heat Conduction Problem with Graphic Accelerator

CODEN: MPCACD

Abstract

The parallelized particle swarm optimization (PSO) method has been developed to solve inverse heat transfer problems. Temporal- and spatial-dependent heat transfer coefficient functions obtained on the surfaces of axis-symmetrical work pieces are estimated by applying the novel technique. The goal function to be minimized by the PSO approach is defined by the deviation of the measurements and the calculated temperatures. The PSO algorithm has been parallelized and implemented on a graphic processing unit (GPU) architecture. Numerical results demonstrate that the determination of heat transfer coefficient functions can be performed by using the parallelized PSO method as well as the GPU implementation and that they provide a less time-consuming and more accurate estimation.

Author Information

Felde, I.
John von Neumann Department of Informatics, Óbuda University, Budapest, Hungary Alba Regia Technical Faculty, Óbuda University, Székesfehérvár, Hungary
Fried, Z.
John von Neumann Department of Informatics, Óbuda University, Budapest, Hungary
Szénási, S.
John von Neumann Department of Informatics, Óbuda University, Budapest, Hungary Alba Regia Technical Department, Óbuda University, Székesfehérvár, Hungary
Pages: 12
Price: $25.00
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Details
Stock #: MPC20170008
ISSN: 2379-1365
DOI: 10.1520/MPC20170008