[1]刘红梅,蒋威,刘文明,等.一种描述颗粒沉积现象的MonteCarlo算法[J].常州大学学报(自然科学版),2021,33(06):51-57.[doi:10.3969/j.issn.2095-0411.2021.06.008]
　LIU Hongmei,JIANG Wei,LIU Wenming,et al.A Monte Carlo Method for Particle Deposition Process[J].Journal of Changzhou University(Natural Science Edition),2021,33(06):51-57.[doi:10.3969/j.issn.2095-0411.2021.06.008]
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一种描述颗粒沉积现象的MonteCarlo算法()
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常州大学学报(自然科学版)[ISSN:2095-0411/CN:32-1822/N]

卷:
第33卷
期数:
2021年06期
页码:
51-57
栏目:
环境科学与工程
出版日期:
2021-11-28

文章信息/Info

Title:
A Monte Carlo Method for Particle Deposition Process
文章编号:
2095-0411(2021)06-0051-07
作者:
刘红梅1; 2; 3; 蒋威1; 刘文明1; 2; 刘雪东1; 2
(1.常州大学机械与轨道交通学院,江苏常州213164;2.江苏省绿色过程装备重点实验室(常州大学),江苏常州213164;3.江苏梅兰化工有限公司,江苏泰州225300)
Author(s):
LIU Hongmei1; 2; 3;  JIANG Wei1;  LIU Wenming1; 2;  LIU Xuedong1; 2
(1. School of Mechanical Engineering and Rail Transit, Changzhou University, Changzhou 213164, China; 2. Jiangsu Key Laboratory of Green Process Equipment, Changzhou University, Changzhou 213164, China; 3. Jiangsu Meilan Chemical Co., Ltd., Taizhou 225300, China)
关键词:
Monte Carlo算法;  颗粒群平衡方程;  重力沉积;  布朗扩散沉积
Keywords:
Monte Carlo method;  population balance equation;  gravitation-dominant deposition;  diffusion-dominant deposition
分类号:
X 513
DOI:
10.3969/j.issn.2095-0411.2021.06.008
文献标志码:
A
摘要:
为了提高Monte Carlo算法在求解颗粒群平衡方程时的计算精度和效率, 发展了一种基于异权值Monte Carlo(DWMC)算法的快速Monte Carlo(F-DWMC)算法, 该算法在处理颗粒沉积事件时采用确定性方法, 能够更加快速准确地求解颗粒的沉积行为。文章选定了两种存在理论分析解的工况(分别考虑颗粒重力沉积和布朗扩散沉积行为)对F-DWMC算法进行了验证, 获得了多分散颗粒物系统的颗粒尺寸分布函数曲线, 计算结果与理论分析解吻合较好, 并且与DWMC算法相比, F-DWMC算法具有更高的计算精度和效率。
Abstract:
In order to improve the computational accuracy and efficiency of Monte Carlo method in solving the particle population balance equation, a fast Monte Carlo(F-DWMC)method based on the differentially weighted Monte Carlo(DWMC)method was proposed. The deposition event was solved by a deterministic method which would be faster and more precise. Two cases with analytical solutions were used to verify this F-DWMC method, where gravitation-dominant deposition and diffusion-dominant deposition were considered, respectively. The simulation results of F-DWMC method agree well with the analytical solutions with small relative errors. Furthermore, the F-DWMC method also exhibits higher computational accuracy and efficiency than the DWMC method for solving particle deposition dynamics.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2021-06-04。
基金项目:江苏省自然科学基金资助项目(BK20210854); 江苏省高校自然科学基金资助项目(20KJB470009)。
作者简介:刘红梅(1988—), 女, 河北衡水人, 博士, 讲师。E-mail: liuhm@cczu.edu.cn
更新日期/Last Update: 1900-01-01