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http://dx.doi.org/10.5762/KAIS.2016.17.1.290

Dust collection system optimization with air blowing and dust suction module  

Jeong, Wootae (Transportation Environmental Research Team, Korea Railroad Research Institute)
Kwon, Soon-Bark (Transportation Environmental Research Team, Korea Railroad Research Institute)
Ko, Sangwon (Transportation Environmental Research Team, Korea Railroad Research Institute)
Park, Duckshin (Transportation Environmental Research Team, Korea Railroad Research Institute)
Publication Information
Journal of the Korea Academia-Industrial cooperation Society / v.17, no.1, 2016 , pp. 290-297 More about this Journal
Abstract
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.
Keywords
Computational Fluid Dynamics; Dust cleaning; Optimization; Particulate matter; Suction system;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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1 L. M. Brosseau, et al., "Dust cleaning: a review of associated health effects and results of company and expert surveys", ASHRAE Trans., Vol. 106, pp. 180-187, 2000.
2 J. F. Hurley, et al., "Assessment of health effects of long-term occupational exposure to tunnel dust in the London Underground", Research Report, 2003.
3 D. Park, et al., "Reduction of Particulate Matters Levels in Railway Cabins in Korea", Journal of Environmental Health Science and Engineering, Vol. 38(1), pp. 51-56, 2012. DOI: http://dx.doi.org/10.5668/jehs.2012.38.1.051   DOI
4 C. M. Ma, et al., "Chemical Properties and Source Profiles of Particulate Matter Collected on an Underground Subway Platform", Asian Journal of Atmospheric Environment, Vol. 9-2, pp. 165-172, June, 2015.   DOI
5 Y. H. Cheng and Y. L. Lin, "Measurement of Particle Mass Concentrations and Size Distributions in an Underground Station", Aerosol and Air Quality Research, Vol. 10, pp. 22-29, 2010. DOI: http://dx.doi.org/10.4209/aaqr.2009.05.0037   DOI
6 D. Park, et al., "Identification of the source of PM10 in a subway tunnel using positive matrix factorization", Journal of the Air & Waste Management Association, Vol. 64(12), pp. 1361-1368, 2014. DOI: http://dx.doi.org/10.1080/10962247.2014.950766   DOI
7 W. C. Hinds, "Aerosol technology: properties, behavior, and measurement of airborne particles", A Wiley Interscience Publication, 2012.
8 D. C. Wilcox, "Turbulence modeling for CFD", DCW Industries, Inc., 1998.
9 T. H. Shih, et al., "A New $k-{\varepsilon}$ Eddy Viscosity Model for High Reynolds Number Turbulent Flows - Model Development and Validation," Computers & Fluids, Vol.24(3), p.227-238, 1995. DOI: http://dx.doi.org/10.1016/0045-7930(94)00032-T   DOI
10 B. E. Launder, et al., "Progress in the Development of a Reynolds-Stress Turbulence Closure," J. Fluid Mech., Vol. 68, pp. 537-566, 1975. DOI: http://dx.doi.org/10.1017/S0022112075001814   DOI