Boundary and Interface Treatments for One-Unit Pore-Scale Simulations of Heat and Mass Transfer in Porous Materials: A Mini-Review

Jbeili, Mayssaa; Zhang, Junfeng

doi:10.1007/s11831-022-09777-w

Arch Computat Methods Eng

2022

DOI: 10.1007/s11831-022-09777-w

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Boundary and Interface Treatments for One-Unit Pore-Scale Simulations of Heat and Mass Transfer in Porous Materials: A Mini-Review

Mayssaa Jbeili

Junfeng Zhang

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Cited by 2 publications

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On the Thermal Conductivity Calculation From Pore-Scale Simulations of Porous Materials

Li,

Zhang

2024

ASME Journal of Heat and Mass Transfer

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Heat transfer in porous materials is of great importance for various natural, biological and industrial processes. For the large difference between the microscopic and macroscopic dimensions, the volume averaging method (VAM) has been developed to obtain apparent thermal conductivity at the macroscopic level for the microscopic temperature and flow distributions, which can be calculated from the pore-scale simulations. In this article, we perform analysis on the influence of different representative element volume (REV) options on the validity of the thermal equilibrium assumption and the VAM calculated thermal conductivity coefficients. Numerical results from a demonstration simulation are also presented to verify and illustrate the theoretical analysis. Our results and discussion reveal a strong dependence of the thermal equilibrium condition and the calculated conductivity values on REV selection, while this should not be the case since the artificial REV selection should not affect the physical features of a system. This work raises long-time over-looked concerns and calls for caution in future relevant studies.

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On the Thermal Conductivity Calculation From Pore-Scale Simulations of Porous Materials

Li,

Zhang

2024

ASME Journal of Heat and Mass Transfer

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Linear extrapolation method based on multiple equiproportional models for thermal performance prediction of ultra-large array

Zhang

et al. 2023

Opt. Express

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Strong demand for developing the photothermal (PT) and electrothermal devices with ultra-large array is increasing. Thermal performance prediction is vital to optimize the key properties of the devices with ultra-large array. Finite element method (FEM) provides a powerful numerical approach for solving complex thermophysics issues. However, for calculating the performance of devices with ultra-large array, it is very memory-consuming and time-consuming to build an equal scale three-dimensional (3D) FEM model. For an ultra-large periodic array irradiated with a local heating source, the use of periodic boundary conditions could lead to considerable errors. To solve this problem, a linear extrapolation method based on multiple equiproportional models (LEM-MEM) is proposed in this paper. The proposed method builds several reduced-size FEM models to carry out simulation and extrapolation, which avoids dealing with the ultra-large arrays directly and greatly reduces the computation consumption. To verify the accuracy of LEM-MEM, a PT transducer with beyond 4000 × 4000 pixels is proposed, fabricated, tested and compared with the prediction results. Four different pixel patterns are designed and fabricated to test their steady thermal properties. The experimental results demonstrate that LEM-MEM has great predictability, and the maximum percentage error of average temperature is within 5.22% in four different pixel patterns. In addition, the measured response time of the proposed PT transducer is within 2 ms. The proposed LEM-MEM not only provides design guidance for optimizing PT transducers, but is also very useful for other thermal engineering problems in ultra-large array that requires facile and efficient prediction strategy.

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Boundary and Interface Treatments for One-Unit Pore-Scale Simulations of Heat and Mass Transfer in Porous Materials: A Mini-Review

Cited by 2 publications

References 54 publications

On the Thermal Conductivity Calculation From Pore-Scale Simulations of Porous Materials

On the Thermal Conductivity Calculation From Pore-Scale Simulations of Porous Materials

Linear extrapolation method based on multiple equiproportional models for thermal performance prediction of ultra-large array

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