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    An Integrated Mechanical–Thermal Predictive Model of Thermal Contact Conductance

    Source: Journal of Heat Transfer:;2013:;volume( 135 ):;issue: 004::page 41301
    Author:
    Hong, Jun
    ,
    Peng, Junfeng
    ,
    Li, Baotong
    DOI: 10.1115/1.4023223
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In this paper, an integrated mechanical–thermal predictive model of thermal contact conductance (TCC) between two nominally flat metallic rough surfaces is developed. Asperities on rough surface were approximated as parabolas. The asperity height deviation and average asperity top radius were measured as surface parameters and then used for mechanical and thermal modeling. A 3D shoulder–shoulder contact deformation model was then extended, taking into account different degrees of misalignment of contact between asperities and three modes of deformation: elastic, elastoplastic, and plastic. The yielded normal contact pressure, which should be equal to the exterior load, was formulated as a function of the given mean separation between the contacting surfaces for given surfaces and material properties. Based on the contact deformation model, a regression correlation of thermal contact conductance of a single pair shoulder–shoulder contacting asperities was integrated to get total TCC as a function of material properties and mean separation. As contact pressure and thermal contact conductance are all monotonically correlated with the mean separation, the mapping between the pressure and thermal contact conductance can be established by integrating the two parts. Finally, the integrated mechanical–thermal predictive model was compared to an existing predictive model and a series of experimental data. The results were in good agreement, demonstrating the validity of the model.
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      An Integrated Mechanical–Thermal Predictive Model of Thermal Contact Conductance

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    http://yetl.yabesh.ir/yetl1/handle/yetl/152090
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    contributor authorHong, Jun
    contributor authorPeng, Junfeng
    contributor authorLi, Baotong
    date accessioned2017-05-09T00:59:40Z
    date available2017-05-09T00:59:40Z
    date issued2013
    identifier issn0022-1481
    identifier otherht_135_4_041301.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/152090
    description abstractIn this paper, an integrated mechanical–thermal predictive model of thermal contact conductance (TCC) between two nominally flat metallic rough surfaces is developed. Asperities on rough surface were approximated as parabolas. The asperity height deviation and average asperity top radius were measured as surface parameters and then used for mechanical and thermal modeling. A 3D shoulder–shoulder contact deformation model was then extended, taking into account different degrees of misalignment of contact between asperities and three modes of deformation: elastic, elastoplastic, and plastic. The yielded normal contact pressure, which should be equal to the exterior load, was formulated as a function of the given mean separation between the contacting surfaces for given surfaces and material properties. Based on the contact deformation model, a regression correlation of thermal contact conductance of a single pair shoulder–shoulder contacting asperities was integrated to get total TCC as a function of material properties and mean separation. As contact pressure and thermal contact conductance are all monotonically correlated with the mean separation, the mapping between the pressure and thermal contact conductance can be established by integrating the two parts. Finally, the integrated mechanical–thermal predictive model was compared to an existing predictive model and a series of experimental data. The results were in good agreement, demonstrating the validity of the model.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAn Integrated Mechanical–Thermal Predictive Model of Thermal Contact Conductance
    typeJournal Paper
    journal volume135
    journal issue4
    journal titleJournal of Heat Transfer
    identifier doi10.1115/1.4023223
    journal fristpage41301
    journal lastpage41301
    identifier eissn1528-8943
    treeJournal of Heat Transfer:;2013:;volume( 135 ):;issue: 004
    contenttypeFulltext
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