Articles producció científica> Enginyeria Mecànica

Prediction of particle deposition on the walls of a cubical cavity with differentially heated opposed walls using heat and mass transfer laminar mixed convection boundary layer models

  • Identification data

    Identifier: imarina:9138928
    Authors:
    Pallares, JordiFabregat, Alexandre
    Abstract:
    © 2020 In this paper we present a model to predict particle deposition velocities on the isothermal walls bounding a turbulent natural convection flow at moderate Rayleigh numbers. The model is based on the laminar mixed convection characteristics of the velocity and thermal boundary layers near the thermally active walls of the cavity. These characteristics are verified with Direct Numerical Simulations reported elsewhere. The model considers the gravity force, the thermophoretic effect and the Brownian diffusion of small particles. The predicted deposition velocities are compared successfully with those obtained with one of the most popular particle deposition models and with experimental measurements reported in the literature and carried out in a cavity with the same thermal boundary conditions as those considered in this study.
  • Others:

    Author, as appears in the article.: Pallares, Jordi; Fabregat, Alexandre
    Department: Enginyeria Mecànica
    URV's Author/s: Fabregat Tomàs, Alexandre / Pallarés Curto, Jorge María
    Keywords: Turbulent natural convection Thermophoresis Particle deposition Brownian motion Boundary layer
    Abstract: © 2020 In this paper we present a model to predict particle deposition velocities on the isothermal walls bounding a turbulent natural convection flow at moderate Rayleigh numbers. The model is based on the laminar mixed convection characteristics of the velocity and thermal boundary layers near the thermally active walls of the cavity. These characteristics are verified with Direct Numerical Simulations reported elsewhere. The model considers the gravity force, the thermophoretic effect and the Brownian diffusion of small particles. The predicted deposition velocities are compared successfully with those obtained with one of the most popular particle deposition models and with experimental measurements reported in the literature and carried out in a cavity with the same thermal boundary conditions as those considered in this study.
    Thematic Areas: Thermodynamics Mechanics Mechanical engineering Materiais Matemática / probabilidade e estatística Interdisciplinar Geociências Fluid flow and transfer processes Engineering, mechanical Engenharias iv Engenharias iii Engenharias ii Engenharias i Condensed matter physics Ciências biológicas i Ciências ambientais Ciências agrárias i Ciência de alimentos Biotecnología Astronomia / física
    licence for use: https://creativecommons.org/licenses/by/3.0/es/
    Author's mail: alexandre.fabregat@urv.cat jordi.pallares@urv.cat
    Author identifier: 0000-0002-6032-2605 0000-0003-0305-2714
    Record's date: 2025-01-27
    Paper version: info:eu-repo/semantics/acceptedVersion
    Paper original source: International Journal Of Heat And Mass Transfer. 165 (120691): 120691-
    APA: Pallares, Jordi; Fabregat, Alexandre (2021). Prediction of particle deposition on the walls of a cubical cavity with differentially heated opposed walls using heat and mass transfer laminar mixed convection boundary layer models. International Journal Of Heat And Mass Transfer, 165(120691), 120691-. DOI: 10.1016/j.ijheatmasstransfer.2020.120691
    Licence document URL: https://repositori.urv.cat/ca/proteccio-de-dades/
    Entity: Universitat Rovira i Virgili
    Journal publication year: 2021
    Publication Type: Journal Publications
  • Keywords:

    Condensed Matter Physics,Engineering, Mechanical,Fluid Flow and Transfer Processes,Mechanical Engineering,Mechanics,Thermodynamics
    Turbulent natural convection
    Thermophoresis
    Particle deposition
    Brownian motion
    Boundary layer
    Thermodynamics
    Mechanics
    Mechanical engineering
    Materiais
    Matemática / probabilidade e estatística
    Interdisciplinar
    Geociências
    Fluid flow and transfer processes
    Engineering, mechanical
    Engenharias iv
    Engenharias iii
    Engenharias ii
    Engenharias i
    Condensed matter physics
    Ciências biológicas i
    Ciências ambientais
    Ciências agrárias i
    Ciência de alimentos
    Biotecnología
    Astronomia / física
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