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A numerical investigation and design optimization of impingement cooling system with an array of air jets

机译:射流冲击冷却系统的数值研究与设计优化

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摘要

In the present study, fluid flow, heat transfer and entropy generation in impingement cooling system with an array of air jets for different values of Reynolds number (Re), Velocity Ratio (VR) and Channel Height (H/L) are investigated. The magnitude of overall Nusselt number (Nu_(ov)) and global total entropy generation (S_(tot,o)) is found to increase with increasing Re, VR and decreasing H/L. Further, spectral and proper orthogonal decomposition analyses are performed to analyze spatio-temporal dynamics of vortex structures for unsteady configurations of impingement cooling system. It is observed that, along the interface of jet (both primary and secondary) and ambient fluid, the destabilizing effect of shear forces overcome the stabilizing effect of momentum diffusion. This results in evolution of counter-rotating vortex rings along the interfaces of jet and ambient fluid due to shear layer instability. Finally, Multi-Objective Genetic Algorithm (MOGA) has been implemented to obtain optimum configurations of impingement cooling system where a trade-off between two performance parameters, Nu_(ov) and S_(tot,Ω) is obtained.
机译:在本研究中,研究了在具有不同雷诺数(Re),速度比(VR)和通道高度(H / L)的空气射流阵列的冲击冷却系统中的流体流动,传热和熵产生。发现总努塞尔数(Nu_(ov))和全局总熵生成(S_(tot,o))的大小随Re,VR和H / L的增加而增加。此外,进行频谱和适当的正交分解分析,以分析冲击冷却系统不稳定结构的旋涡结构的时空动力学。可以看到,沿着射流(一次和二次)与环境流体的界面,剪切力的去稳定作用克服了动量扩散的去稳定作用。由于剪切层的不稳定性,这导致沿射流和环境流体的界面产生反向旋转的涡流环。最后,已经实现了多目标遗传算法(MOGA),以获取冲击冷却系统的最佳配置,其中获得了两个性能参数Nu_(ov)和S_(tot,Ω)之间的权衡。

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