Monte Carlo Method for Physically-Based Drop Size Distribution Evolution

被引：0
|
作者：
Tembely, Moussa [1 ]
Lecot, Christian [2 ]
Soucemarianadin, Arthur [1 ]
机构：
[1] Univ Grenoble 1, UMR 5519, Lab Geophys & Ind Fluid Flows, LEGI, BP 53, F-38041 Grenoble, France
[2] Univ Savoie, LAMA Lab Appl Math, CNRS, UMR 5127, F-73376 Le Bourget Du Lac, France
来源：
WORLD CONGRESS ON ENGINEERING 2009, VOLS I AND II | 2009年
关键词：
Monte Carlo Method; Maximum Entropy Formalism; Coalescence; Spray; Mass Flow Algorithm; EQUATION;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
We report in this paper the evolution of a physically based drop sire distribution coupling the Maximum Entropy Formalism and the Monte Carlo method to solve the coagulation equation. Using the discrete or continuous population balance equation, the Mass Flow Algorithm is formulated taking into account interactions between droplets via coalescence. After proposing a kernel for coalescence, we solve the time dependent drop sire distribution equation using a Monte Carlo method which is convergent. The evolution of the drop size distribution shows the effect of spray droplets coalescence.
引用
收藏
页码：1224 / +
页数：2
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