[1]卜 诗,师诚承,张 琳,等.用于预测多层滤网压降的高效数值模型[J].常州大学学报(自然科学版),2021,33(03):42-53.[doi:10.3969/j.issn.2095-0411.2021.03.006]
 BU Shi,SHI Chengcheng,ZHANG Lin,et al.A High-Efficiency Numerical Model for Predicting Pressure Drop Across Multilayer Mesh Filters[J].Journal of Changzhou University(Natural Science Edition),2021,33(03):42-53.[doi:10.3969/j.issn.2095-0411.2021.03.006]
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用于预测多层滤网压降的高效数值模型()
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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03期
页码:
42-53
栏目:
机械制造及其自动化
出版日期:
2021-05-28

文章信息/Info

Title:
A High-Efficiency Numerical Model for Predicting Pressure Drop Across Multilayer Mesh Filters
文章编号:
2095-0411(2021)03-0042-12
作者:
卜 诗12 师诚承1 张 琳12 许伟刚12 柳 林12
(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)
Author(s):
BU Shi12 SHI Chengcheng1 ZHANG Lin12 XU Weigang12 LIU Lin12
(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)
关键词:
多层滤网 压降 二维简化 嵌套等概率随机 计算流体力学
Keywords:
multilayer mesh filter pressure drop 2D simplification embedded equal-probability randomness CFD
分类号:
TQ 028.2
DOI:
10.3969/j.issn.2095-0411.2021.03.006
文献标志码:
A
摘要:
为了快速精确预测介质通过多层滤网的压力降, 建立了一种基于嵌套等概率随机方法的二维简化模型, 对高度复杂的三维几何结构进行了合理的降维处理, 在提高计算精度的基础上, 大幅节省了计算资源。以20~120层滤网为例进行了计算流体力学(CFD)分析和风洞实验验证。结果表明, 相比一般等概率随机模型, 嵌套等概率随机的处理方法使模型在拓扑和物理上都更贴近实际, 从而使计算结果具有更高的精度, 对多层滤网压降特性的预测误差不超过5.0%。
Abstract:
A simplified two-dimensional model based on embedded equal-probability random method was proposed to realize a quick-and-precise prediction of pressure drop across multilayer mesh filters. The model reasonably reduced the dimension of the highly-complex three-dimensional geometric structures, hence the demanded computational resource is saved yet the predicting accuracy is preserved. Taking the 20—120 layers wire mesh as an example, the feasibility of the model was verified by CFD and wind tunnel test. The result indicated that, compared to common random models, the embedded equal-probability method makes the model approach reality in terms of topology and physics, thus improves the accuracy of prediction. The overall uncertainty of pressure drop calculation can be kept within 5.0%.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2020-12-28。
基金项目:江苏省教育厅高校自然科学研究面上资助项目(19KJB470002)。
作者简介:卜诗(1988—), 男, 江苏南通人, 博士, 讲师。E-mail: bushi@cczu.edu.cn
更新日期/Last Update: 1900-01-01