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    Critical Reynolds Number Estimates by Thermo-Dynamic (Stochastic) Methods

    Source: Journal of Manufacturing Science and Engineering:;1974:;volume( 096 ):;issue: 003::page 788
    Author:
    P. Hrycak
    ,
    M. J. Levy
    DOI: 10.1115/1.3438442
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Methods based on fundamental thermodynamic principles and the notion of statistical probability have been used to estimate the point of instability and the lower critical Reynolds number for a round pipe and an infinite channel. It is also shown that order of magnitude estimates of the ratio of the average shear stresses for each regime allow one to draw definite conclusions about the lower and the upper critical Reynolds number in a variety of geometries.
    keyword(s): Reynolds number , Stress , Shear (Mechanics) , Pipes , Probability AND Channels (Hydraulic engineering) ,
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      Critical Reynolds Number Estimates by Thermo-Dynamic (Stochastic) Methods

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    http://yetl.yabesh.ir/yetl1/handle/yetl/164998
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    contributor authorP. Hrycak
    contributor authorM. J. Levy
    date accessioned2017-05-09T01:38:34Z
    date available2017-05-09T01:38:34Z
    date copyrightAugust, 1974
    date issued1974
    identifier issn1087-1357
    identifier otherJMSEFK-27612#788_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/164998
    description abstractMethods based on fundamental thermodynamic principles and the notion of statistical probability have been used to estimate the point of instability and the lower critical Reynolds number for a round pipe and an infinite channel. It is also shown that order of magnitude estimates of the ratio of the average shear stresses for each regime allow one to draw definite conclusions about the lower and the upper critical Reynolds number in a variety of geometries.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleCritical Reynolds Number Estimates by Thermo-Dynamic (Stochastic) Methods
    typeJournal Paper
    journal volume96
    journal issue3
    journal titleJournal of Manufacturing Science and Engineering
    identifier doi10.1115/1.3438442
    journal fristpage788
    journal lastpage794
    identifier eissn1528-8935
    keywordsReynolds number
    keywordsStress
    keywordsShear (Mechanics)
    keywordsPipes
    keywordsProbability AND Channels (Hydraulic engineering)
    treeJournal of Manufacturing Science and Engineering:;1974:;volume( 096 ):;issue: 003
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
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