Lattice Boltzmann Modeling of Thermal Conduction in Composites with
                    Thermal Contact Resistance

Xie, Chiyu; Wang, Jinku; Wang, Dong; Pan, Ning; Wang, Moran

doi:10.4208/cicp.2014.m360

Cited by 23 publications

(7 citation statements)

References 43 publications

(77 reference statements)

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“…Based on the solution of the evolution variable at mesoscale, the macroscopic local concentration and mass diffusive flux can be calculated through statistical process [32]: Once the mass diffusion is solved, the effective diffusion coefficient can be obtained based on the Fick's law [23]:…”

Section: Lattice Boltzmann Methodsmentioning

confidence: 99%

Effective gas diffusion coefficient in fibrous materials by mesoscopic modeling

Guo

et al. 2017

International Journal of Heat and Mass Transfer

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Section: Lattice Boltzmann Methodsmentioning

confidence: 99%

Effective gas diffusion coefficient in fibrous materials by mesoscopic modeling

Guo

et al. 2017

International Journal of Heat and Mass Transfer

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“…Recognition of the significance of the sub-resolution pore space has prompted a sizeable number of researchers in the last couple of years to investigate ways to take this pore space into account explicitly in Lattice-Boltzmann models of water movement in soils, following Gao and Sharma (1994) and Freed (1998) . The resulting “Gray” or “Partial-Bounce-Back” (PBB) Lattice-Boltzmann models consider that each voxel in the original, grayscale CT images has a given probability of penetration by water or solutes, and therefore a complementary probability that water or solute particles that penetrate the voxel eventually bounce back to their previous positions (e.g., Sukop and Thorne, 2006 ; Chen and Zhu, 2008 ; Han et al, 2008 ; Walsh et al, 2009 ; Jones and Feng, 2011 ; El Ganaoui et al, 2012 ; Gottardi et al, 2013 ; Walsh and Saar, 2013 ; Zalzale et al, 2013 ; Chen et al, 2014 ; Li et al, 2014 ; Yoshida and Hayashi, 2014 ; Ginzburg et al, 2015 ; Xie et al, 2015 ; Yehya et al, 2015 ; Apourvari and Arns, 2016 ; Bultreys et al, 2016 ; McDonald and Turner, 2016 ; Pereira, 2016 ; Zhang et al, 2016 ). In all this work, considerable advances have been made recently and a number of technical issues have been clarified ( Ginzburg, 2016 ), yet a major experimental hurdle related to the evaluation of the penetrability of sub-resolution pores, which at this point remains an arbitrary parameter in the models.…”

Section: Progress On the Physical Frontmentioning

confidence: 99%

Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain

et al. 2018

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Over the last 60 years, soil microbiologists have accumulated a wealth of experimental data showing that the bulk, macroscopic parameters (e.g., granulometry, pH, soil organic matter, and biomass contents) commonly used to characterize soils provide insufficient information to describe quantitatively the activity of soil microorganisms and some of its outcomes, like the emission of greenhouse gasses. Clearly, new, more appropriate macroscopic parameters are needed, which reflect better the spatial heterogeneity of soils at the microscale (i.e., the pore scale) that is commensurate with the habitat of many microorganisms. For a long time, spectroscopic and microscopic tools were lacking to quantify processes at that scale, but major technological advances over the last 15 years have made suitable equipment available to researchers. In this context, the objective of the present article is to review progress achieved to date in the significant research program that has ensued. This program can be rationalized as a sequence of steps, namely the quantification and modeling of the physical-, (bio)chemical-, and microbiological properties of soils, the integration of these different perspectives into a unified theory, its upscaling to the macroscopic scale, and, eventually, the development of new approaches to measure macroscopic soil characteristics. At this stage, significant progress has been achieved on the physical front, and to a lesser extent on the (bio)chemical one as well, both in terms of experiments and modeling. With regard to the microbial aspects, although a lot of work has been devoted to the modeling of bacterial and fungal activity in soils at the pore scale, the appropriateness of model assumptions cannot be readily assessed because of the scarcity of relevant experimental data. For significant progress to be made, it is crucial to make sure that research on the microbial components of soil systems does not keep lagging behind the work on the physical and (bio)chemical characteristics. Concerning the subsequent steps in the program, very little integration of the various disciplinary perspectives has occurred so far, and, as a result, researchers have not yet been able to tackle the scaling up to the macroscopic level. Many challenges, some of them daunting, remain on the path ahead. Fortunately, a number of these challenges may be resolved by brand new measuring equipment that will become commercially available in the very near future.

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“…Taking into account that this method has got excellent numerical stability and constitutive versatility, it can play an essential role as a simulation tool for modeling of different phenomena and processes. Recently, LBM has been used for different issues, for example: modeling and simulation of liquid jet breakup [15], modeling dendritic solidification under forced and natural convection [16], modeling of thermal conduction in composites with thermal contact resistance [17], modeling of transport phenomena in fuel cells and flow batteries [18], modeling of the additive layer manufacturing [19]. Lattice Boltzmann method consider flows to be composed of a collection of pseudo-particles that are represented by a velocity distribution function, so it can be applied for modeling of different variants of flows, as well as phase transformations in flows.…”

Section: Hybrid Lbm and Ca Modelheat Flow Modulementioning

confidence: 99%

Development of hybrid model based on Lattice Boltzmann Method and Cellular Automata devoted for phase transformation – simulation of heat flow with consideration of enthalpy

2018

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In heat treatment of materials, the phase transformation is an important phenomenon, which determines the final microstructure. The microstructure of different materials described by such parameters as morphology, grain size, phase fraction and their spatial distribution, largely effects on the mechanical and functional properties of final products. The subject of the work is a development of a hybrid model based on CA and Lattice Boltzmann method (LBM) for modeling of the diffusion phase transformation. The model has a modular structure and simulates three basic phenomena: diffusion, heat flow and phase transformation. The objective of the paper is a presentation of module of the hybrid model for simulation of heat flow with considering of enthalpy of transformation. This is one of the stages in the development of the model and obtained results will be used in a combined solution of heat transfer and diffusion during the modeling of diffusion phase transformations. Lately, the model will be extended to three dimensions and will use hybrid computational systems (CPU and GPU). CA and LBM are used in the model as follows. LBM is used for modeling of heat flow, while CA is used for modeling of microstructure evolution during the phase transformation. The main factors considered in the model are the enthalpy of transformation and heat transfer. The paper presents the results of the modeling of the new phase growth determined by different values of overcooling affecting on different values in the enthalpy of transformation. The heat flow is simulated and the results for some modeling variants are shown. Examples of simulation results obtained from the modeling are presented in the form of images, which present the growth of new phase and temperature distributions.

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Lattice Boltzmann Modeling of Thermal Conduction in Composites with Thermal Contact Resistance

Cited by 23 publications

References 43 publications

Effective gas diffusion coefficient in fibrous materials by mesoscopic modeling

Effective gas diffusion coefficient in fibrous materials by mesoscopic modeling

Emergent Properties of Microbial Activity in Heterogeneous Soil Microenvironments: Different Research Approaches Are Slowly Converging, Yet Major Challenges Remain

Development of hybrid model based on Lattice Boltzmann Method and Cellular Automata devoted for phase transformation – simulation of heat flow with consideration of enthalpy

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