A hybrid computing scheme for shape optimisation in thermo-fluid problems Online publication date: Thu, 26-Aug-2010
by Suman Ghosh, Dilip Kumar Pratihar, Biswajit Maiti, Prasanta Kumar Das
International Journal of Computational Intelligence Studies (IJCISTUDIES), Vol. 1, No. 3, 2010
Abstract: A hybrid computing scheme has been developed in the paper, which uses CFD softwares: Gambit for mesh generation, Fluent for carrying out hydrodynamic analysis, and employs a Genetic Algorithm (GA) for optimisation. It has been utilised to solve optimisation problems related to thermo-fluid field in a fully automated way by using specific system commands. In the developed hybrid computing scheme, the GA and CFD softwares combine each other seamlessly and data transfer takes places without any manual intervention. In this study, the main challenge lies in embedding highly structured commercial softwares, like Fluent and Gambit, inside an indigenously developed hybrid computing scheme. Using the said hybrid computing scheme, two different methodologies have been adopted to optimise the shapes of 2D symmetric nozzle. Corresponding to the optimised shapes of the nozzle, streamline patterns have been developed and variations in pressure loss (PL) factor values have been studied.
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