Genetic algorithm based strategies for radial flow impeller design

A method for radial flow impeller design which pays attention to the set-up of optimal design strategies is presented. The optimal design strategies are based on a genetic algorithm which controls a quasi-three-dimensional flow simulation of a radial flow impeller, with integral boundary calculation. The design procedures are characterized by a progressive reduction in the search interval of each independent variable. A more accurate definition of the blade geometry and flow analysis is obtained through a mesh refinement in the flow model, when the optimization process is close to converge. An optimal choice of the impeller geometrical parameters is achieved by approaching the design data, then by proceeding with a number of fine refinement steps.