热湍流边界层中热流体的表征

K. Dennis, K. Siddiqui
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引用次数: 0

摘要

在许多实际工程系统中遇到的流体动力边界层本质上是湍流的,并且在控制诱导摩擦阻力和物质输运方面起着重要作用。在湍流边界层流动中,由于浮力的影响,经常涉及到换热问题,增加了流动的复杂性。当浮力足够大时,携带被加热流体的热流体就会脱离壁面上升。文献综述表明,在混合对流中,热流体主要是通过定性流动可视化来识别的,而对热流体的定量评估还很缺乏。此外,边界层热力系统在流动惯性和黏性剪切作用下的演化还不是很清楚。因此,有必要更好地了解混合对流湍流边界层流动中的热动力学。本研究的目的是通过实验研究在加热光滑水平平板上的湍流边界层流动中上升的热的三维性质。实验在闭环低扰动风洞中进行,试验段为1m长的加热底壁。采用多平面粒子图像测速(PIV)技术,在湍流边界层平均流动方向的多个平面上采集图像,进行三维表征。在理查德森数(Ri)为0.3、1.0和2.0时进行测量。流动可视化图像用于描述热气流的性质及其与整体边界层流动相互作用时所涉及的动力学过程。然后详细介绍了一种检测热成像的图像处理算法,并将其应用于实验图像。然后对新算法的性能进行评估,以其检测热量的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characterization of Thermals in a Heated Turbulent Boundary Layer
The hydrodynamic boundary layer encountered in many practical engineering systems is turbulent in nature and known to play a significant role in governing the induced friction drag and species transport. In turbulent boundary layer flows, heat transfer is often involved which increases flow complexity due to the influence of buoyancy. When the buoyant force is sufficiently large in magnitude, thermals carrying heated fluid are known to detach and rise from the wall. Literature review shows that in mixed convection, thermals have been primarily identified through qualitative flow visualizations and there is a scarcity of their quantitative assessment. Furthermore, the evolution of thermals in the boundary layer with respect to flow inertia and viscous shear is not well-understood. Hence, there is a need for a better understanding of the dynamics of thermals in mixed convection turbulent boundary layer flow. The objective of this study is to experimentally investigate the three-dimensional nature of thermals rising from a turbulent boundary layer flow over a heated smooth horizontal flat plate. Experiments were performed in a closed loop low-disturbance wind tunnel with a test section featuring a 1 m long heated bottom wall. The multi-plane particle image velocimetry (PIV) technique was used to capture images in multiple planes with respect to the turbulent boundary layer mean flow direction for three-dimensional characterization. The measurements were conducted at Richardson numbers (Ri) of 0.3, 1.0, and 2.0. Flow visualization images are used to describe the nature of thermals and the dynamical processes involved during their interaction with bulk boundary layer flow. An image processing algorithm to detect thermals is then detailed and applied to experimental images. The performance of the new algorithm is then assessed in its ability to detect thermals.
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