Aerodynamic Optimization of Airfoils Using Adaptive Parameterization and Genetic Algorithm
Aerodynamic Optimization of Airfoils Using Adaptive Parameterization and Genetic Algorithm
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DOI：
10.1007/s10957-013-0442-1
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发表时间：
2013-10
影响因子：
1.9
通讯作者：
M. Ebrahimi;A. Jahangirian
中科院分区：
文献类型：
--
作者：
M. Ebrahimi;A. Jahangirian
提出了一种新的翼型形状参数化方法，并研究了其对优化设计和演化优化过程收敛性的影响。在优化过程中，采用在线自适应方法改变翼型参数函数。进行了几何反设计，并对该方法产生一般翼型形状的能力进行了评估。然后通过气动形状优化对该方法的性能进行了评价。结果表明，该方法显著提高了翼型的优化设计效果。此外，它减少了流求解器调用的总数，从而减少了所需的计算时间。
A new method for airfoil shape parameterization is presented, and its influences on the optimum design and convergence of the evolutionary optimization process are investigated. An online adaptive method is used that alters the airfoil parametric function during the process of optimization. A geometric inverse design is carried out, and the capability of the method for producing general airfoil shapes is assessed. The performance of the method is then evaluated by aerodynamic shape optimization. The result indicates that the proposed method improves the optimum design airfoil significantly. In addition, it reduces the total number of flow solver calls, which consequently reduces the required computational time.