基于伴随法和梯度优化器的NACA0018翼型气动外形优化

MATEC Web of Conferences Pub Date : 2023-01-01 DOI:10.1051/matecconf/202337701016

Gavin Scott Manggai van Stratan, Sukanta Roy, Y. San

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引用次数: 0

摘要

本研究的目的是为了证明伴随方法在低雷诺数下用于风力机的简单对称翼型NACA0018气动外形优化中的适用性和有效性。伴随方法已在许多基于压力的数值模拟中使用，并取得了不同程度的成功，从而在各自的应用中优化了几何形状。仿真采用ANSYS Fluent代码。升阻比被定义为伴随灵敏度的可观测值。优化的目标函数被设定为最大的升阻比翼型的20%。优化方案显示，最优NACAOpt的升阻比从初始基线NACA0018值0.0211显著增加到3.66。结果表明，伴随求解器与基于梯度的优化器相结合，可以改善许多CFD应用中形状优化的几何形状。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Aerodynamic Shape Optimization of a NACA0018 Airfoil Using Adjoint Method and Gradient-Based Optimizer

The purpose of this study is to demonstrate the suitability and efficacy of the adjoint method on the aerodynamic shape optimization on a simple symmetrical airfoil NACA0018 at low Reynolds number for wind turbine application. The adjoint method has been used in many pressure-based numerical simulations with various degrees of success leading to optimized geometries in their respective uses. ANSYS Fluent code was used in this simulation. Lift to drag ratio was defined as the observables for which adjoint sensitivities were formulated. The objective function of the optimization was set to maximize the lift to drag ratio of the airfoil by 20%. The optimization regime showed significant increase in lift and drag ratio from the initial baseline NACA0018 value of 0.0211 up to 3.66 for the optimal NACAOpt. The results demonstrate the potential of the adjoint solver paired together with the gradient-based optimizer to improve the geometry for shape optimization in many CFD applications.

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来源期刊

MATEC Web of Conferences

自引率

0.00%

发文量

342

审稿时长

6 weeks

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