Structural Optimization of Aerofoils for Many Criteria

Abstract

In this paper a problem of structural optimization of an aerofoil is examined. Authors' implementation of a multiobjective optimization algorithm based on differential evolution and elements of game theory is used as an optimization tool. Real requirements asked of aerofoil systems, described by mathematical functions are used as optimization objectives. Values of these functionals are determined numerically multiple times during the course of optimization. On the basis of a wing of unmanned aerial vehicle (UAV), a parametric numerical model is built. The inner geometry of the wing is described by 24 design variables and is subject to the optimization, while the outer geometry doesn't change.

Airfoil Optimization using Design-by-Morphing

“…However, for multi-objective optimization, multiple and potentially conflicting objectives must be considered simultaneously to determine the optimal answer in the solution set [56,57]. If the designer has a quantitative ranking of the objectives, these objectives can be combined together to formulate a single objective problem, but when no such ranking exists, constructing a Pareto front is the most common methodology [58][59][60], which is applicable to real-world problems such as the design of architected materials [61,62], turbo-machinery [63][64][65][66][67], process-engineering [68][69][70], shape design [71][72][73], and structural engineering [74,75] when multiple objectives that cannot be quantitatively ranked are involved.…”