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TEMPERATURE FLUCTUATIONS INSIDE THE INFINITE HEATED SLAB COOLED WITH TURBULENT FLOW FROM BOTH SIDES

机译:两侧均带有湍流的无限加热平板冷却器内部的温度波动

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Direct Numerical Simulation (DNS) of fully developed velocity and passive scalar temperature fields in two-dimensional turbulent channel flow was coupled with the unsteady conduction in the idealized slab heated with constant volumetric heat source. Similar geometry can be found in some experimental nuclear reactors with fuel in the form of parallel slabs. Beside streamwise and spanwise directions, periodicity of the computational domain was assumed also in the wall-normal direction. Simulations were performed at constant friction Reynolds number 180 and Prandtl number 1, and with various geometrical and material properties of the heated slab. Due to the periodicity, the same Reynolds number and the same flow direction is assumed on both sides of the slab. Results of the simulations predict penetration of the turbulent temperature fluctuations into the solid wall. For thick slab, temperature fluctuations from both sides of the slab do not interfere. As the slab gets thinner, fluctuations from both sides interfere and tend to a finite value as the slab thickness limits toward zero. However, due to the non-coherent turbulent flows on each side of the slab, thermal fluctuations of the zero-thickness slab are actually lower than in the case of the zero-thickness wall heated by the same turbulent flow on one side but cooled by the constant heat flux boundary condition on the other side. Results of the present study can serve as benchmarks for less accurate mathematical models used to predict temperature fluctuations and thermal fatigue in realistic conditions.
机译:二维湍流通道流中完全开发速度和被动标量温度场的直接数值模拟(DNS)与具有恒定体积热源加热的理想板坯中的不稳定传导联接。类似的几何形状可以在一些实验核反应堆中找到,其具有平行板形式的燃料。在流动和翼展方向上,还在壁正常方向上假设计算域的周期性。在恒定摩擦雷诺数180和普朗特数1处进行仿真,并且具有加热板的各种几何和材料特性。由于周期性,在板坯的两侧假设相同的雷诺数和相同的流动方向。模拟结果预测湍流温度波动的渗透到固体壁中。对于厚的板坯,板坯两侧的温度波动不会干扰。随着板坯变薄,两侧的波动干扰并倾向于有限值,因为板坯厚度朝向零。然而,由于板坯的每一侧的非相干湍流,零厚板的热波动实际上低于通过同样的湍流在一侧加热的零厚度壁的情况下而且由另一侧的恒温磁通边界条件。本研究的结果可以作为用于预测现实条件下温度波动和热疲劳的较低准确数学模型的基准。

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