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    Heat Transfer Characteristics of Mixed Convective Magnetohydrodynamic Counter-current Two-Phase Flow in Rotating Inclined Microporous Channel With Slip Velocity and Asymmetric Thermal Boundary Conditions Using LTNE Model

    Source: Journal of Thermal Science and Engineering Applications:;2021:;volume( 014 ):;issue: 006::page 61004-1
    Author:
    Rani, Hari Ponnamma
    ,
    Leela, V.
    ,
    Nagabhushana, Pulla
    ,
    Reddy, R. Gangadhara
    DOI: 10.1115/1.4052118
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: The heat transfer characteristics of a mixed convective two-phase flow in an inclined rotating microporous channel kept in a transverse magnetic field are investigated numerically. The counterflow arrangement is assumed within the channel. Slip velocity and asymmetric thermal boundary conditions are assumed. The governing energy equation involves the local thermal non-equilibrium (LTNE) between the two phases. The LTNE implications of the control parameters on the flow field variables and the average Nusselt number, Nu, are highlighted, and pertinent observations are documented. When confined to a few specific cases, the current results are consistent with previous research work. The effect of inclination angle on fluid velocity is determined by the wall temperature difference ratio. According to the findings, for certain values of the wall temperature differential ratio, the velocity increases with the angle
     
    however, it takes on a dual character for other values. The Nusselt number (Nu) is expected to increase with the Biot number, Hartmann number, and rotation parameter, while Nu decreases as the Knudsen number increases. The results also show that as the wall temperature ratio increases, the Nu converges to a common minimum value. This research combines computational fluid dynamics (CFD) simulation and artificial neural network (ANN) analysis. The database was generated from the validated CFD model covering a range of control parameters arising in the system. The multilayer perceptron (MLP) networks were trained using this CFD data set to predict Nu. It is observed that the predicted data given by the ANN model is in good accordance with the estimated values of Nu. The average relative error in Nu's prediction is found to be ±2%.
     
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      Heat Transfer Characteristics of Mixed Convective Magnetohydrodynamic Counter-current Two-Phase Flow in Rotating Inclined Microporous Channel With Slip Velocity and Asymmetric Thermal Boundary Conditions Using LTNE Model

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    contributor authorRani, Hari Ponnamma
    contributor authorLeela, V.
    contributor authorNagabhushana, Pulla
    contributor authorReddy, R. Gangadhara
    date accessioned2022-05-08T08:50:02Z
    date available2022-05-08T08:50:02Z
    date copyright10/13/2021 12:00:00 AM
    date issued2021
    identifier issn1948-5085
    identifier othertsea_14_6_061004.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284399
    description abstractThe heat transfer characteristics of a mixed convective two-phase flow in an inclined rotating microporous channel kept in a transverse magnetic field are investigated numerically. The counterflow arrangement is assumed within the channel. Slip velocity and asymmetric thermal boundary conditions are assumed. The governing energy equation involves the local thermal non-equilibrium (LTNE) between the two phases. The LTNE implications of the control parameters on the flow field variables and the average Nusselt number, Nu, are highlighted, and pertinent observations are documented. When confined to a few specific cases, the current results are consistent with previous research work. The effect of inclination angle on fluid velocity is determined by the wall temperature difference ratio. According to the findings, for certain values of the wall temperature differential ratio, the velocity increases with the angle
    description abstracthowever, it takes on a dual character for other values. The Nusselt number (Nu) is expected to increase with the Biot number, Hartmann number, and rotation parameter, while Nu decreases as the Knudsen number increases. The results also show that as the wall temperature ratio increases, the Nu converges to a common minimum value. This research combines computational fluid dynamics (CFD) simulation and artificial neural network (ANN) analysis. The database was generated from the validated CFD model covering a range of control parameters arising in the system. The multilayer perceptron (MLP) networks were trained using this CFD data set to predict Nu. It is observed that the predicted data given by the ANN model is in good accordance with the estimated values of Nu. The average relative error in Nu's prediction is found to be ±2%.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleHeat Transfer Characteristics of Mixed Convective Magnetohydrodynamic Counter-current Two-Phase Flow in Rotating Inclined Microporous Channel With Slip Velocity and Asymmetric Thermal Boundary Conditions Using LTNE Model
    typeJournal Paper
    journal volume14
    journal issue6
    journal titleJournal of Thermal Science and Engineering Applications
    identifier doi10.1115/1.4052118
    journal fristpage61004-1
    journal lastpage61004-10
    page10
    treeJournal of Thermal Science and Engineering Applications:;2021:;volume( 014 ):;issue: 006
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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