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The Maximum Entropy Formalism and the Prediction of Liquid Spray Drop-Size Distribution

机译:最大熵形式主义与液体喷雾液滴尺寸分布的预测

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The efficiency of any application involving a liquid spray is known to be highly dependent on the spray characteristics, and mainly, on the drop-diameter distribution. There is therefore a crucial need of models allowing the prediction of this distribution. However, atomization processes are partially known and so far a universal model is not available. For almost thirty years, models based on the Maximum Entropy Formalism have been proposed to fulfill this task. This paper presents a review of these models emphasizing their similarities and differences, and discusses expectations of the use of this formalism to model spray drop-size distribution.
机译:已知任何涉及液体喷雾的应用的效率都高度依赖于喷雾特性,并且主要取决于液滴直径的分布。因此,迫切需要能够预测这种分布的模型。然而,雾化过程是部分已知的,到目前为止还没有通用模型。近三十年来,已经提出了基于最大熵形式主义的模型来完成这一任务。本文介绍了这些模型,强调了它们的异同,并讨论了使用这种形式主义对喷雾滴大小分布进行建模的期望。

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