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雾化与喷雾
影响因子: 1.262 5年影响因子: 1.518 SJR: 0.814 SNIP: 1.18 CiteScore™: 1.6

ISSN 打印: 1044-5110
ISSN 在线: 1936-2684

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雾化与喷雾

DOI: 10.1615/AtomizSpr.v8.i4.10
pages 363-392

METHODOLOGY FOR MODEL DISCRIMINATION AND CRITICISM FOR LIQUID ATOMIZATION DATA

Donald W. Stanton
Engine Research Center, University of Wisconsin—Madison, Madison, Wisconsin, USA
Peter K. Senecal
Convergent Science Inc., Middleton, Wisconsin, 53562, USA
Calvin C. Hung
Engine Research Center, University of Wisconsin—Madison, Madison, Wisconsin, USA
Christopher J. Rutland
Engine Research Center, University of Wisconsin−Madison, Madison, Wisconsin, 53706, USA
Rolf D. Reitz
Engine Research Center, University of Wisconsin-Madison, Rm 1018A, 1500 Engineering Drive, Madison, Wisconsin 53706, USA

ABSTRACT

The present work establishes a methodology used to conduct a comparative study of various probability distributions generally used to describe liquid spray atomization data. This methodology involves model discrimination and criticism, as well as random sampling used to obtain objective criteria for choosing among rival models. Examples, representing different atomization mechanisms, are given for the determination of the relative posterior probabilities of candidate models and for their goodness of fit when models are fitted to a common data set. The methodology has been extended to include unreplicated data in addition to replicated data. The end result is presented in a form suitable for formulating empirical models of spray size distributions, with the intent of incorporating such models into multidimensional, two-phase flow simulations.


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