Aerodynamic Shape Optimization of Doubly Offset Serpentine Diffuser using Response Surface Methodology

Zohaib Altaf, Arslan Ali, S. Salamat
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Abstract

Doubly offset serpentine diffusers have gained popularity in the compact design configurations of modern stealth fighters and UAVs with highly integrated propulsion systems into the airframe. In this research, the design space of a doubly offset serpentine diffuser is explored and the numerical optimization of its shape variables is achieved using response surface methodology to maximize total pressure recovery at the Aerodynamic Interface Plane between the engine and inlet. The stream-wise and transverse pressure gradients in the baseline diffuser are controlled using area distribution and centerline distribution equations respectively. The original geometry is perturbed using three control points distributed uniformly along the centerline and the central composite design has been used to select a pool of candidate designs. A steady-state flow solution has been achieved using governing Reynolds averaged Navier-Stokes equations applied through the general-purpose computational analysis tool ANSYS Fluent. A response surface is constructed out of the training data by fitting quadratic polynomials to the pressure recovery coefficients. The optimal diffuser design is found using a standard optimization algorithm from the response surface approximations. The optimized shape encompasses potential improvement in the total pressure recovery by 1.1% as compared to the baseline geometry. Results reveal that diffuser performance is a complex function of its geometric shape and any slight change in its shape variables may lead to significant performance degradation.
基于响应面法的双偏置蛇形扩散器气动外形优化
双偏置蛇形扩散器在现代隐形战斗机和具有高度集成推进系统的无人机的紧凑设计配置中得到了广泛的应用。本文对双偏置蛇形扩压器的设计空间进行了探索,并利用响应面法对其形状变量进行了数值优化,以最大化发动机与进气界面平面的总压恢复。采用面积分布方程和中心线分布方程分别控制基准扩散器的流向和横向压力梯度。利用沿中心线均匀分布的三个控制点对原始几何图形进行扰动,并采用中心复合设计来选择候选设计池。通过通用计算分析工具ANSYS Fluent,利用控制Reynolds平均Navier-Stokes方程获得了稳态流动解。通过对压力恢复系数进行二次多项式拟合,得到了训练数据的响应面。利用响应面近似的标准优化算法,找到了最优扩散器设计。与基准形状相比,优化后的形状可将总压采收率提高1.1%。结果表明,扩散器的性能是其几何形状的复杂函数,其形状变量的任何微小变化都可能导致显著的性能下降。
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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