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Dust collection system optimization with air blowing and dust suction module
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 Title & Authors
Dust collection system optimization with air blowing and dust suction module
Jeong, Wootae; Kwon, Soon-Bark; Ko, Sangwon; Park, Duckshin;
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The performance of track cleaning trains to remove accumulated fine particulate matter in subway tunnels depends on the design of the suction system equipped under the train. To increase the efficiency of the suction system under the cleaning vehicle, this paper proposes a novel dust suction module equipped with both air blowing nozzles and a dust suction structure. Computational Fluid Dynamics (CFD) analysis with turbulent flow was conducted to optimize the dust suction system with a particle intake and blowing function. The optimal angle of the air blowing nozzle to maximize the dust removal rate was found to be 6 degrees. The performance of the track cleaning vehicle can be increased by at least 10 percent under an operation speed of 5km/h.
Computational Fluid Dynamics;Dust cleaning;Optimization;Particulate matter;Suction system;
 Cited by
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