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Aerothermal Optimization of Bladeless Turbines

机译:无伪涡轮机的空气热量优化

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摘要

The harnessing of mechanical power from supersonic flows is constrained by physical limitations and substantial aerodynamic losses. Bladeless axial turbines are a viable alternative to extract power in such harsh conditions without restricting the operating conditions. In this paper, we present a shape optimization of the wavy surface of bladeless turbines to maximize the power extraction, while minimizing convective heat flux and pressure losses. First, a baseline geometry was defined and an experimental campaign was carried out on the baseline wavy surface of the bladeless turbine at supersonic conditions. Pressure, heat flux, and skin friction measurements were compared with the Reynolds averaged Navier-Stokes results. Afterward, an evaluation routine which consisted of the geometry and grid generation, solving, and postprocessing was implemented within a multi-objective optimization routine to maximize the pressure force and minimize heat flux and pressure loss. Finally, a three-dimensional assessment in terms of power, heat load, and pressure drop was performed for the best performing geometry with the commercial solver cfd++ of Metacomp.
机译:从超音速流动的机械功率的利用受到物理限制和大量空气动力学损失的约束。虚伪的轴向涡轮机是一种可行的替代方案,可以在这种苛刻条件下提取功率而不限制操作条件。在本文中,我们介绍了虚弱涡轮机的波浪表面的形状优化,以最大化功率提取,同时最小化对流热通量和压力损失。首先,定义基线几何形状,在超音速条件下在无假性涡轮机的基线波浪表面上进行实验活动。将压力,热通量和皮肤摩擦测量与雷诺平均Navier-Stokes结果进行比较。之后,在多目标优化程序中实现了由几何形状和电网生成,求解和后处理组成的评估例程,以最大化压力和最小化热通量和压力损失。最后,在功率,热载荷和压降方面进行三维评估,以便与Metacomp的商业求解器CFD ++进行最佳的性别几何。

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