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Pore-scale study of thermal fields during evaporation from drying porous surfaces

机译:干燥多孔表面蒸发过程中热场的孔隙尺度研究

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The drying of a porous surface and subsequent pore emptying resemble a sequence of drainage whereby pores are invaded according to their respective capillary size (large pores are invaded first). The emptying of pores modifies both the local evaporative fluxes and surface thermal fields adjacent to invaded pores. These local adjustments could result in a gradual decrease in evaporation rate and a potential increase in surface temperature thereby altering energy partitioning over the drying surface as described by the Pore-scale Coupled Energy Balance (PCEB) model of Aminzadeh and Or (2014). This study aims to observe and quantify these dynamic pore-scale mass and energy interactions to test key assumptions in the basis of the PCEB model and gain new insights into these important processes. We used a novel experimental system consisting of individual and clustered evaporating pores drilled into rough glass surfaces. Thermal fields around individual evaporating pores and their interactions were observed using highly resolved infrared imager under different radiative fluxes. Thermal observations and direct measurements of evaporative fluxes were in good agreement with predictions by the PCEB model. Drying of a glass beads surface was captured by optical and thermal imaging to provide links between pore emptying sequence and surface thermal adjustments. The results highlight the upscalability of pore-based representation of surface drying and the predictability of energy partitioning over drying porous surfaces.
机译:多孔表面的干燥和随后的孔排空类似于一系列排水,其中,孔根据其各自的毛细管尺寸侵入(首先侵入大孔)。孔的排空改变了局部蒸发通量和与侵入的孔相邻的表面热场。如Aminzadeh和Or(2014)的孔尺度耦合能量平衡(PCEB)模型所述,这些局部调节可能会导致蒸发速率逐渐降低和表面温度潜在升高,从而改变干燥表面上的能量分配。这项研究旨在观察和量化这些动态的孔尺度质量和能量相互作用,以在PCEB模型的基础上测试关键假设,并获得对这些重要过程的新见解。我们使用了一种新颖的实验系统,该系统由钻入粗糙玻璃表面的单个且成簇的蒸发孔组成。使用高度分辨的红外成像仪在不同辐射通量下观察到各个蒸发孔周围的热场及其相互作用。蒸发通量的热观测和直接测量与PCEB模型的预测非常吻合。玻璃珠表面的干燥通过光学和热成像捕获,以提供空孔序列与表面热调节之间的联系。结果突出了表面干燥的基于孔的表示的可扩展性以及干燥多孔表面上的能量分配的可预测性。

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