基于熵产理论设计方法的多目标翼型优化.

In this paper, an entropy analysis and design optimization methodology is combined with multi-objective airfoil shape optimization to demonstrate the impact of entropy generation on aerodynamic designs. Model equations for the calculation of the local entropy generation rate in turbulent flows are presented by extending the Reynolds-averaging procedure to the entropy balance equation. We use the CST parametric method to model the airfoil configuration and combine the CFD solver with multi-objective optimization algorithm respectively, to compute aerodynamics quantities such as lift-drag ratio and entropy generation rate. We obtain the optimized airfoils that maximize lift-drag ratios and minimize entropy generation rates as optimization objectives. Moreover, the present method is compared with the traditional method. From the multi-objective solutions, a designer can select a set of airfoil shapes with low relative entropy generation, small actuation cost, and improved aerodynamic performance at the design conditions. The optimized results unfold that, the proposed method is capable of realizing better performance in practical aerodynamic optimization, with the features of strong global convergence and improved aerodynamic performance in the increase of lift-drag ratio and the decrease of entropy generation rate, compared with the initial population. [ABSTRACT FROM AUTHOR]