Optimization of magneto-hydrodynamic control of diffuser flows using micro-genetic algorithms and least-squares finite elements

作者: Brian H. Dennis , George S. Dulikravich

DOI: 10.1016/S0168-874X(00)00052-4

关键词: Applied mathematicsGeometryReynolds numberPopulationLeast squaresDiffuser (thermodynamics)Flow control (data)Finite element methodGenetic algorithmStatic pressureMathematics

摘要: Abstract In this paper we consider the problem of multidisciplinary design and optimization (MDO) a diffuser for steady, incompressible magnetohydrodynamic (MHD) flow. Given fixed shape, optimizer should find distribution wall magnets that will maximize static pressure increase from inlet to outlet. This is solved through use genetic algorithm based program coupled with finite element MHD simulation program. For simulation, least-squares method (LSFEM) has been developed. The LSFEM allows equal order approximation functions all unknowns stable high Reynolds numbers. Optimization was accomplished using micro-genetic (GA) micro-GA capable searching space population much smaller than required by classical GA. performed on parallel computer composed commodity PC components. Results show an applied magnetic field proper strength can significantly improve rise over case no field.

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