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Performance Estimation of a Louver Dust Collector Attached to the Bottom of a Subway Train Running in a Tunnel
- Source :
- Aerosol and Air Quality Research. 17:1954-1962
- Publication Year :
- 2017
- Publisher :
- Taiwan Association for Aerosol Research, 2017.
-
Abstract
- In underground tunnels, friction between the wheels and rails of subway trains creates particles, which are spread by the wind generated when trains pass by. A louver dust collector was attached to the bottom of a T-car of Seoul Subway Line 5 train in an effort to remove PM10 inside tunnels, and obtain data when it was in actual operation. It made several round trips during which differential pressure of the louver dust collector was measured in relation to train speed. By comparing and verifying the differential pressure estimated by simulation and that actually measured, it was possible to estimate average flow of air that went into the louver dust collector. Furthermore, by comparing and verifying the measurement results on collection efficiency of a lab-scale louver dust collector in a wind tunnel, along with the results of numerical analysis, it was possible to estimate the collection efficiency in relation to subway train speed. As a result, it was confirmed that higher running speeds of subway trains increased the flow of air going into the louver dust collector and subsequently decreased the particle size corresponding to 50% collection efficiency. In other words, the cut-off size was estimated to be 9.7 µm at the lowest speed of 5 km h–1, and 4.9 µm at the top speed of 65 km h–1, in normal speed range for the Seoul Subway Line 5 trains.
- Subjects :
- Engineering
010504 meteorology & atmospheric sciences
business.industry
Performance estimation
Flow (psychology)
Structural engineering
010501 environmental sciences
01 natural sciences
Pollution
law.invention
Subway line
law
Dust collector
Range (aeronautics)
Environmental Chemistry
Train
Louver
business
0105 earth and related environmental sciences
Wind tunnel
Marine engineering
Subjects
Details
- ISSN :
- 20711409 and 16808584
- Volume :
- 17
- Database :
- OpenAIRE
- Journal :
- Aerosol and Air Quality Research
- Accession number :
- edsair.doi...........5a3ba0003855d39c6cdad289bf984fac
- Full Text :
- https://doi.org/10.4209/aaqr.2017.01.0043