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CFD Analysis and Shape Optimization of NACA0012 Airfoil for Different Mach Numbers

机译:不同马赫数的NACA0012机翼的CFD分析和形状优化

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Multidisciplinary design optimization techniques become more and more applied in the field of aerodynamics due to the rapid development of computers high-performance, numerical methods and optimization algorithms. These techniques coupled with Computational Fluid Dynamics (CFD), which aims to incorporate mathematical relations and algorithms to analyze and solve fluid flow problems, involve the use of those numerical methods and algorithms to improve the fluid flow solutions. CFD analysis of an airfoil determines its ability by producing results such as lift and drag forces, and the application of an optimization algorithm involves improving the shape of this airfoil in order to manipulate the lift and drag coefficients according to the requirements. In this work, a numerical investigation, using ANSYS/Fluent, of two-dimensional transonic flow over a NACA 0012 airfoil was conducted at various Mach numbers and compared with the provided experimental data. The flow to be considered is compressible and turbulent and the solver used is the density based implicit solver, which gives good results for high speed compressible flows. Then a shape optimization algorithm, based on a Multi-Objective Genetic Algorithm, was used in order to obtain an improved performance control of the aerodynamic coefficients of the optimized airfoil.
机译:由于计算机高性能,数值方法和优化算法的迅速发展,多学科设计优化技术越来越多地应用于空气动力学领域。这些技术与旨在结合数学关系和算法来分析和解决流体流动问题的计算流体动力学(CFD)结合在一起,涉及使用那些数值方法和算法来改进流体流动解决方案。对翼型的CFD分析通过产生诸如升力和阻力的结果来确定其能力,并且优化算法的应用涉及改进翼型的形状,以便根据要求操纵升力和阻力系数。在这项工作中,使用ANSYS / Fluent对NACA 0012机翼上的二维跨音速流进行了各种马赫数的数值研究,并将其与提供的实验数据进行了比较。要考虑的流动是可压缩的和湍流的,并且所使用的求解器是基于密度的隐式求解器,它为高速可压缩流提供了良好的结果。然后,基于多目标遗传算法的形状优化算法用于获得对优化翼型的空气动力学系数的改进性能控制。

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