Numerical simulation of influencing factors of spray dust removal efficiency based on Euler-Lagrangian method

YANG Hua; QI Shikang; TIAN Liang; LIU Xuanchen; XIE Jun; QI Na

doi:10.19835/j.issn.1008-4495.2023.01.007

Mining Safety & Environmental Protection > 2023 > 50(1): 42-46. > DOI: 10.19835/j.issn.1008-4495.2023.01.007

YANG Hua, QI Shikang, TIAN Liang, LIU Xuanchen, XIE Jun, QI Na. Numerical simulation of influencing factors of spray dust removal efficiency based on Euler-Lagrangian method[J]. Mining Safety & Environmental Protection, 2023, 50(1): 42-46. DOI: 10.19835/j.issn.1008-4495.2023.01.007

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Numerical simulation of influencing factors of spray dust removal efficiency based on Euler-Lagrangian method

School of Energy and Environmental Engineering, Hebei University of Technology, Tianjin 300401, China

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Received Date: October 16, 2021
Revised Date: October 25, 2022
Available Online: March 08, 2023

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Abstract

Abstract

In order to study the most suitable nozzle parameters for spray dust removal, the Euler-Lagrangian method was used to establish a three-phase coupling model of air phase, dust phase and spray phase. The spray phase is discrete phase, the air phase and the dust phase are Euler continuous phase, and the dust phase adopts the particle fitting flow model. Fluent software was used to simulate the influence of spray particle size, spray flow rate and spray speed on the dust removal efficiency, and the three spray conditions of the existing nozzle were simulated. The results show that the spray dust removal efficiency increases with the decrease of spray particle size and with the increase of spray flow rate and spray speed. The optimal dust removal conditions are obtained as follows: the average particle size of Rosin-Rammler distribution is 46.4 μm, the spray flow rate is 0.04 kg/s, and the spray speed is 23.1 m/s.
- dust removal,
- spray particle size,
- spray flow rate,
- spray speed,
- dust removal efficiency,
- numerical simulation

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Numerical simulation of influencing factors of spray dust removal efficiency based on Euler-Lagrangian method

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