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作者:

Liang, Wen-Jun (Liang, Wen-Jun.) (学者:梁文俊) | Liu, Di (Liu, Di.) | Ren, Si-da (Ren, Si-da.) | Li, Qing-Lei (Li, Qing-Lei.)

收录:

SCIE

摘要:

This work attempts to optimize the traditional flow-reverse reactor by establishing a three-dimensional model of a toluene catalytic-combustion reactor through computational fluid dynamics (CFD). Four optimized structures are designed: (1) 20-mm grille; (2) 60-mm-long lattice plates; (3) 20-mm-long cross plate and 5-mm-thick cross plate; and (4) 20-mm-long lattice and 20-mm-long and 5-mm-thick cross plate. The velocity field, pressure drop, temperature field, and turbulent energy were calculated. The results show that the area-weighted evenness index of the four structures can reach (1) 0.910; (2) 0.901; (3) 0.909; and (4) 0.920. The results also show that the reactor with a 20-mm grid and 5-mm porous plate had the best optimization effect. Based on the reactor, the maximum resistance coefficient of the optimized flow direction conversion reactor was 0.030, meeting the engineering requirements. The results from the temperature fields show that the reactor with increased flow direction greatly improved the utilization of waste heat. It was also confirmed that the optimization had a certain guiding significance and value for practical application.

关键词:

Catalytic combustion Computational fluid dynamics (CFD) Flow reverse Heat transfer Structure optimization

作者机构:

  • [ 1 ] [Liang, Wen-Jun]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 2 ] [Liu, Di]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 3 ] [Ren, Si-da]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Qing-Lei]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China

通讯作者信息:

  • 梁文俊

    [Liang, Wen-Jun]Beijing Univ Technol, Key Lab Beijing Reg Air Pollut Control, Beijing 100124, Peoples R China

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来源 :

JOURNAL OF ENVIRONMENTAL ENGINEERING

ISSN: 0733-9372

年份: 2020

期: 6

卷: 146

2 . 2 0 0

JCR@2022

ESI学科: ENGINEERING;

ESI高被引阀值:28

JCR分区:3

被引次数:

WoS核心集被引频次: 2

SCOPUS被引频次: 2

ESI高被引论文在榜: 0 展开所有

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