in this work, harmony search meta-heuristic optimization algorithm has been developed for aerodynamic shape optimization problem for the first time. the aerodynamic shape, which has been investigated, is an airfoil with parces method for its shape parameterization. the problem was minimization of aerodynamic objective function using inverse design method and the objective function has been the ...

the aim of this work is to find an efficient aerodynamic-based design algorithm for projectile fins and configuration shape optimization. three-dimensional supersonic flow over a projectile with fins at much number 5 and one degree angle of attack was studied. the runge-kutta method and multi-block technique was used to solve the governing equations. a basic configuration was assumed for the fi...

A new optimization approach for robust design, design for multi-objective six sigma (DFMOSS) has been developed and applied to robust aerodynamic airfoil design for Mars exploratory airplane. The present robust aerodynamic airfoil design optimization using DFMOSS successfully showed the trade-off information between maximization and robustness improvement in aerodynamic performance by a single ...

This lecture deals with the application of numerical optimization for aerodynamic design of high-lift systems, which is a multi-objective constraint design problem. The applied mathematical fundamentals of numerical optimization are briefly outlined. A description of the design targets and constraints for high-lift wings is given, followed by a detailed analysis of the properties of the flow ca...

Aerodynamic design algorithms require an optimization strategy to search for the best design. The object of this paper is to compare the performance of some different strategies when used by an aerodynamic shape optimization routine which designs fan blade shapes. A recently developed genetic algorithm, Differential Evolution [1,2], outperforms more traditional techniques.

With the improving capabilities of Computational Fluids Dynamics (CFD) on predicting aerodynamic performance, these tools are now being increasingly used for aerodynamic design optimization in the aerospace industry. In this paper, an automated optimization framework is presented to address inviscid aerodynamic design problems. Key aspects of this framework include the use of the continuous adj...

In many aerospace engineering design problems, objective function evaluations can be extremely computationally expensive, such as the optimal design of the aerodynamic shape of an airfoil using high-fidelity computational fluid dynamics (CFD) simulation. A widely used approach for dealing with expensive optimization is to use cheap global surrogate (approximation) models to substitute expensive...