DOI: 10.5593/sgem2017/21/S07.044


S. Szenasi, I. Felde
Wednesday 13 September 2017 by Libadmin2017

References: 17th International Multidisciplinary Scientific GeoConference SGEM 2017, www.sgem.org, SGEM2017 Conference Proceedings, ISBN 978-619-7408-01-0 / ISSN 1314-2704, 29 June - 5 July, 2017, Vol. 17, Issue 21, 343-350 pp, DOI: 10.5593/sgem2017/21/S07.044


This paper presents a novel heat transfer model for the estimation of heat transfer coefficients without any information about the thermal boundary conditions. The massively parallel implementation (using the latest CUDA 8.0 framework and NVIDIA graphics cards) of the model gives the opportunity to use multiple graphics accelerators to execute the heat transfer simulations. This leads to very impressive performance which makes it possible to run thousands of simulations within a reasonable time. There are several problems in the field of material science without any known analytical solution where the only possible way is to use some heuristic searches (Genetic Algorithms, Particle Swarm Optimisation, Fireworks, etc.). For some of these cases, the fitness/cost function calculation needs a heat transfer simulation process to generate a cooling curve, which is usually the most resource consuming part of the algorithm. Using our novel heat transfer model makes it possible to efficiently use these methods.

Keywords: Heat Transfer, GPU, GA, PSO, Fireworks

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