收藏切换
Method and Application of Pressure Drop Prediction for Fiber Filter Rods Based on Multiple Regression and Fluid Dynamics
收藏切换
PDF
Chen-qiao LI1, Wen-ting LIU1, *, Zhi-yuan YAN2, Wei-ping JIA1, Ke HUANG1, Bo WANG1, Hong-yun HU3
Science Technology and Engineering | 2025, 25(14) : 5983 - 5991
Less
收藏切换
Science Technology and Engineering | 2025, 25(14): 5983-5991
Papers·Civil, Handicraft and Living Services Industry
Method and Application of Pressure Drop Prediction for Fiber Filter Rods Based on Multiple Regression and Fluid Dynamics
Full
Chen-qiao LI1, Wen-ting LIU1, *, Zhi-yuan YAN2, Wei-ping JIA1, Ke HUANG1, Bo WANG1, Hong-yun HU3
Affiliations
  • 1. China Tobacco Hubei Industries Co., Ltd., Wuhan 430040, China
  • 2. School of Vehicle and Energy, Yanshan University, Qinhuangdao 066104, China
  • 3. School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Published: 2025-05-18 doi: 10.12404/j.issn.1671-1815.2402603
Outline
收藏切换

Pressure drop plays an important effect on the performance of fiber filter-stick, and is determined by the materials and geometry structure. In order to develop a method to design and guide the production of the fiber filter, the multiple regression method uses the density of fiber tow, length, and circumference of the sticker as the argument to train the pressure drop model based on the production data. The fiber filter is modeled as multizone represented as the fiber tow and the forming paper. The flow dynamics in these zones are simulated based on the porous media model. The osmotic coefficients represent the pressure drop in the zone packed with the fiber tow. The simulation results show that the pressure drop is positively correlated with the length of the fiber rob, and the type of filter tow has a greater influence on the pressure drop than the circumference. For the design of the fiber filter, the regression model is first used to obtain the consumption of the fiber tow based on the design pressure drop. Then the simulation based on the porous media model is carried out to validate the prediction. If the error between the two methods is within 10%, this predicted fiber stick can be produced. By analyzing the production data and the prediction from models, it is concluded that the method proposed in this work is sufficient to direct the design and production.

multi regression  /  computational fluid dynamics  /  fiber stick  /  prediction of pressure drop
Chen-qiao LI, Wen-ting LIU, Zhi-yuan YAN, Wei-ping JIA, Ke HUANG, Bo WANG, Hong-yun HU. Method and Application of Pressure Drop Prediction for Fiber Filter Rods Based on Multiple Regression and Fluid Dynamics[J]. Science Technology and Engineering, 2025 , 25 (14) : 5983 -5991 . DOI: 10.12404/j.issn.1671-1815.2402603
Year 2025 volume 25 Issue 14
PDF
368
142
Cite this Article
BibTeX
Article Info
doi: 10.12404/j.issn.1671-1815.2402603
  • Receive Date:2024-04-10
  • Online Date:2025-07-09
  • Published:2025-05-18
Article Data
Affiliations
History
  • Received:2024-04-10
  • Revised:2025-02-13
Funding
Affiliations
    1. China Tobacco Hubei Industries Co., Ltd., Wuhan 430040, China
    2. School of Vehicle and Energy, Yanshan University, Qinhuangdao 066104, China
    3. School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
References
Share
https://castjournals.cast.org.cn/joweb/kxjsygc/EN/10.12404/j.issn.1671-1815.2402603
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT