Lattice Boltzmann method for simulating transport phenomena avoiding the use of lattice units

Martins, Ivan T.; Alvariño, Pablo F.; Cabezas-Gómez, Luben

doi:10.1007/s40430-024-04905-y

Cited by 3 publications

(3 citation statements)

References 79 publications

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“…The Lattice Boltzmann Method (LBM) has significantly advanced in modeling heat transfer during Chemical Vapor Deposition (CVD) processes, leveraging its mesoscopic approach to handle complex boundaries and parallelization effectively. This method models fluid flow using fictive particles, which simplifies the integration of thermodynamics into transport equations and enhances its flexibility in dealing with multiphase flows, making it highly suitable for CVD applications [67].…”

Section: Lattice Boltzmann Methods (Lbm)mentioning

confidence: 99%

Recent Progress in Heat and Mass Transfer Modeling for Chemical Vapor Deposition Processes

Łach,

Svyetlichnyy

2024

Preprint

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Chemical vapor deposition (CVD) is a vital process for depositing thin films of various materials with precise control over thickness, composition, and properties. Understanding the heat and mass transfer mechanisms during CVD is essential for optimizing process parameters and ensuring high-quality film deposition. This review provides an overview of recent advancements in the heat and mass transfer modeling for chemical vapor deposition processes. It explores innovative modeling techniques, recent research findings, emerging applications, and challenges in the field. Additionally, it discusses future directions and potential areas for further advancement in CVD modeling.

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Section: Lattice Boltzmann Methods (Lbm)mentioning

confidence: 99%

Recent Progress in Heat and Mass Transfer Modeling for Chemical Vapor Deposition Processes

Łach,

Svyetlichnyy

2024

Preprint

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“…In this section, the mathematical models employed for performing the simulations of this paper are presented. We consider the dimensional approach proposed by Martins et al [29] given its ability to deal directly with real fluid properties.…”

Section: Methodsmentioning

confidence: 99%

“…Considering the D2Q9 velocity scheme, the transformation matrix [M] for the dimensional LBM is defined in Martins et al [29], and the collision matrix here is defined as [Λ] = diag(ω 0 , ω 1 , . .…”

Section: Lattice Boltzmann Methods For Conjugate Heat-transfermentioning

confidence: 99%

A Modified Enthalpic Lattice Boltzmann Method for Simulating Conjugate Heat Transfer Problems in Non-Homogeneous Media

Matsuda,

Martins,

Moreira

et al. 2024

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In this study, we introduced modifications to a prior existing enthalpic lattice Boltzmann method (LBM) tailored for simulating the conjugate heat transfer phenomena in non-homogeneous media with time-dependent thermal properties. Our approach is based upon the incorporation of the remaining terms of a conservative energy equation, excluding only the terms regarding flow compressibility and viscous dissipation, thereby accounting for the local and transient variations in the thermophysical properties. The solutions of verification tests, comprising assessments of both transient and steady-state solutions, validated the accuracy of the proposed model, further bolstering its reliability for analyzing heat transfer processes. The modified model was then used to perform an analysis on structured cavities under free convection, revealing compelling insights, particularly regarding transient regimes, demonstrating that the structured cavities exhibit a beneficial impact on enhancing the heat transfer processes, hence providing insights for potential design enhancements in heat exchangers. These results demonstrate the potential of our modified enthalpic LBM approach for simulating complex heat transfer phenomena in non-homogeneous media and structured geometries, offering valuable results for heat exchanger engineering and optimization.

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Recent Progress in Heat and Mass Transfer Modeling for Chemical Vapor Deposition Processes

Łach,

Svyetlichnyy

2024

Energies

View full text Add to dashboard Cite

Chemical vapor deposition (CVD) is a vital process for deposit of thin films of various materials with precise control over the thickness, composition, and properties. Understanding the mechanisms of heat and mass transfer during CVD is essential for optimizing process parameters and ensuring high-quality film deposition. This review provides an overview of recent advancements in heat and mass transfer modeling for chemical vapor deposition processes. It explores innovative modeling techniques, recent research findings, emerging applications, and challenges in the field. Additionally, it discusses future directions and potential areas for further advancement in CVD modeling.

show abstract

Lattice Boltzmann method for simulating transport phenomena avoiding the use of lattice units

Cited by 3 publications

References 79 publications

Recent Progress in Heat and Mass Transfer Modeling for Chemical Vapor Deposition Processes

Recent Progress in Heat and Mass Transfer Modeling for Chemical Vapor Deposition Processes

A Modified Enthalpic Lattice Boltzmann Method for Simulating Conjugate Heat Transfer Problems in Non-Homogeneous Media

Recent Progress in Heat and Mass Transfer Modeling for Chemical Vapor Deposition Processes

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