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    Volume 6, Issue 5

    Special Issue Paper

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

    (Received 19 January 2017; accepted 5 September 2017)

    Published Online: 2017

    CODEN: MPCOAD

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    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.

    Fried, Z.
    John von Neumann Department of Informatics, Óbuda University, Budapest,

    Szénási, S.
    John von Neumann Department of Informatics, Óbuda University, Budapest,


    Stock #: MPC20170008

    ISSN:2379-1365

    DOI: 10.1520/MPC20170008

    Author
    Title Solution of 2-D Inverse Heat Conduction Problem with Graphic Accelerator
    Symposium ,
    Committee A01