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Numerical Analysis of Pressure Distribution in a Brush Seal Based on a 2‐D Staggered Tube Banks Model

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1 Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming, China
2 Department of Mechanical Engineering, Blekinge Institute of Technology, SE-37179, Karlskrona, Sweden
3 College of Engineering, Shanghai Polytechnic University, Shanghai, China
4 Faculty of Materials Science and Engineering, Kunming University of Science and Technology, Kunming, China

* Corresponding Author:Meihong Liu, email

Intelligent Automation & Soft Computing 2019, 25(2), 405-411. https://doi.org/10.31209/2019.100000102

Abstract

A two-dimensional model of staggered tube banks of the bristle pack with different pitch ratios was solved by computational fluid dynamics (CFD). The pressure distribution along the gap centerlines and bristle surfaces were studied for different upstream pressure from 0.2 to 0.6MPa and models. The results show that the pressure is exponentially rather than strictly linearly decreasing distributed inside the bristle pack. The pressure distribution is symmetry about the circle’s horizontal line. The most obvious pressure drop occurred from about 60º to 90º. There is no stationary state reached between the kinetic energy and the static pressure when the upstream is larger than 0.3MPa.

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APA Style
Kang, Y., Liu, M., Kao‐Walter, S., Liu, J., Cen, Q. (2019). Numerical analysis of pressure distribution in a brush seal based on a 2‐D staggered tube banks model. Intelligent Automation & Soft Computing, 25(2), 405-411. https://doi.org/10.31209/2019.100000102
Vancouver Style
Kang Y, Liu M, Kao‐Walter S, Liu J, Cen Q. Numerical analysis of pressure distribution in a brush seal based on a 2‐D staggered tube banks model. Intell Automat Soft Comput . 2019;25(2):405-411 https://doi.org/10.31209/2019.100000102
IEEE Style
Y. Kang, M. Liu, S. Kao‐Walter, J. Liu, and Q. Cen, “Numerical Analysis of Pressure Distribution in a Brush Seal Based on a 2‐D Staggered Tube Banks Model,” Intell. Automat. Soft Comput. , vol. 25, no. 2, pp. 405-411, 2019. https://doi.org/10.31209/2019.100000102



cc Copyright © 2019 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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