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An investigation of empirical formulation and design optimisation of co-flow fluidic thrust vectoring nozzles

机译:并流流体推力矢量喷嘴的经验公式与设计优化研究

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摘要

The purpose of this paper is to design and develop an advanced co-flow fluidic nozzle, based on the Coanda effect concept, for multi-directional thrust vectoring of small jet engines. Recent progress on finding an optimal geometry with a fixed momentum ratio to achieve maximum thrust deflection angle is discussed here. The efficiency of the system is found to be a weakly nonlinear function of the secondary to primary flow momentum as well as three geometric parameters. A useful empirical formulation is derived for thrust vectoring angle, based on a series of tests carried out on different nozzles. An accurate computational fluid dynamics model is also developed and evaluated against the experimental data. Moreover, quasi-Newton optimisation algorithm is employed to find an optimal geometry with a constant relative jet momentum and a constant secondary slot size. In this technique, the optimal wall geometric parameters are calculated in the direction of the steepest gradient with the help of the numerical simulation model in every iteration step. Additionally, an optimised fluidic nozzle is constructed to experimentally verify the numerical results and the empirical equation.
机译:本文的目的是设计和开发基于柯恩达效应概念的先进的同流射流喷嘴,用于小型喷气发动机的多向推力矢量化。本文讨论了寻找具有固定动量比的最佳几何形状以实现最大推力偏转角的最新进展。发现系统的效率是次要流动动量以及三个几何参数的弱非线性函数。基于在不同喷嘴上进行的一系列测试,得出了推力矢量角的有用经验公式。还开发了精确的计算流体动力学模型,并根据实验数据进行了评估。此外,采用拟牛顿优化算法来找到具有恒定的相对射流动量和恒定的次级缝隙尺寸的最佳几何形状。在这种技术中,在每个迭代步骤中,借助于数值模拟模型,可以在最陡峭的梯度方向上计算出最佳的墙体几何参数。另外,构造了优化的射流喷嘴以通过实验验证数值结果和经验公式。

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