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首页> 外文期刊>Journal of Heat Transfer >Tomography-Based Determination of the Effective Thermal Conductivity of Fluid-Saturated Reticulate Porous Ceramics
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Tomography-Based Determination of the Effective Thermal Conductivity of Fluid-Saturated Reticulate Porous Ceramics

机译：基于层析成像的流体饱和网状多孔陶瓷有效导热系数的确定

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摘要

The effective thermal conductivity of reticulate porous ceramics (RPCs) is determined based on the 3D digital representation of their pore-level geometry obtained by high-resolution multiscale computer tomography. Separation of scales is identified by tomog-raphic scans at 30 /am digital resolution for the macroscopic reticulate structure and at 1 μm digital resolution for the microscopic strut structure. Finite volume discretization and successive over-relaxation on increasingly refined grids are applied to solve numerically the pore-scale conduction heat transfer for several subsets of the tomographic data with a ratio of fluid-to-solid thermal conductivity ranging from 10~(-4) to 1. The effective thermal conductivities of the macroscopic reticulate structure and of the microscopic strut structure are then numerically calculated and compared with effective conductivity model predictions with optimized parameters. For the macroscale reticulate structure, the models by Dul 'nev, Miller, Bhattachary and Boomsma and Poulikakos, yield satisfactory agreement. For the microscale strut structure, the classical porosity-based correlations such as Maxwell's upper bound and Loeb's mbdels are suitable. Macroscopic and microscopic effective thermal conductivities are superimposed to yield the overall effective thermal conductivity of the composite RPC material. Results are limited to pure conduction and stagnant fluids or to situations where the solid phase dominates conduction heat transfer.
机译：网状多孔陶瓷（RPC）的有效热导率是根据其孔级几何结构的3D数字表示确定的，这些数字是通过高分辨率多尺度计算机层析成像技术获得的。鳞片的分离通过宏观网状结构的tomog-raphic扫描（数字分辨率为30 / am）和微观支撑结构的数字分辨率为1μm来识别。应用有限体积离散化和逐渐精细化网格上的连续过度松弛来数值计算断层数据的几个子集的孔尺度传导热传递，流固热导比为10〜（-4）然后，通过数值计算宏观网状结构和微观支撑结构的有效热导率，并将其与具有优化参数的有效电导率模型预测进行比较。对于宏观网状结构，Dul'nev，Miller，Bhattachary和Boomsma和Poulikakos的模型产生了令人满意的一致性。对于微观支撑结构，基于麦克斯韦上限和勒布姆德尔数的基于孔隙度的经典相关性是合适的。宏观和微观有效热导率叠加在一起，以产生复合RPC材料的总体有效热导率。结果仅限于纯传导和停滞的流体，或者限于固相主导传导传热的情况。

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