作者: Brian H. Dennis , George S. Dulikravich
DOI: 10.1016/S0168-874X(00)00052-4
关键词: Applied mathematics 、 Geometry 、 Reynolds number 、 Population 、 Least squares 、 Diffuser (thermodynamics) 、 Flow control (data) 、 Finite element method 、 Genetic algorithm 、 Static pressure 、 Mathematics
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.