Estimation of temporospatial boundary conditions using a particle swarm optimisation technique Online publication date: Wed, 14-Sep-2016
by Imre Felde; Sándor Szénási
International Journal of Microstructure and Materials Properties (IJMMP), Vol. 11, No. 3/4, 2016
Abstract: In this paper, we present an inverse solver for the estimation of the temporospatial heat transfer coefficients (HTCs) without using prior information of the thermal boundary conditions. The particle swarm optimisation (PSO) method has been introduced to recover the unknown HTC function obtained during immersion quenching. The HTC obtained on the surfaces of a cylindrical work piece is aimed to estimate by using cooling curves recorded internal thermocouples. The fitness function to be minimised by the PSO approach is defined by the deviation of the measured and the calculated cooling curves. The PSO algorithm has been parallelised and implemented on the graphics processing unit (GPU) architecture. The method is tested and evaluated by using hypothetical HTC function on a 2D axis symmetrical heat transfer model. The proposed approach provide significant acceleration of computation and accurate estimation.
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