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Technical Paper

Simulation and experimental investigation of dust-collecting performances of different dust exhaust hoods

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Pages 1367-1377 | Received 08 May 2020, Accepted 12 Aug 2020, Published online: 28 Oct 2020
 

ABSTRACT

High-efficiency dust collection for open dust source has always been an important and difficult issue for air quality control at the workplace. This study performed simulations and experiments on three kinds of dust exhaust hoods, namely, updraft, side-draft and air-curtain exhaust hoods. Results show these three kinds of exhaust hoods varied significantly in dust-capturing efficiency. The dust-capturing efficiency of the updraft exhaust hood was the lowest (56.8%) while the air-curtain exhaust hood performed best in dust collection, with a dust-capturing efficiency of 93.8%. For a rectangular air-curtain exhaust hood with a size of 900 mm x 1200 mm, the dust-capturing efficiency first increased and gradually tended to stabilize with increasing air-curtain velocity and suction airflow rate. According to the present research results, the reasonable long-side air-curtain velocity and suction airflow rate were in the range 4 ~ 6.27 m/s and 5.4 ~ 9 m3/min, respectively. Under these conditions, dust-capturing efficiency can be as high as 79.6–86.5%.

Implications: This study performed simulations and experiments on three kinds of dust exhaust hoods: updraft, side-draft and air-curtain. Simulation results show the dust-capturing efficiency of the air-curtain exhaust hood is best of 93.8%. Experimental results show under reasonable conditions, the dust-capturing efficiency of a rectangular air-curtain exhaust hood is 79.6–86.5%. This research is very meaningful, which not only has important innovation in the study of micro mechanism of dust collectors but provides powerful theoretical and experimental support for technological innovation.

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Funding

This work was funded by the National Natural Science Foundation of China, grant numbers 11875129 and 11505060; the Beijing Nova Program, grant number xx2018057; Key Research and Development Program of Xuzhou (Social Development), grant number KC18221; Key Research and Development Program of Jiangsu Province (Social Development), grant number BE2019641; the Fundamental Research Funds for the Central Universities, grant number 2018YQ01.

Notes on contributors

Yang Liu

Yang Liuc is an Associate Professor in School of Nuclear Science and Engineering, North China Electric Power University, People's Republic of China.

Tianjie Xia

Tianjie Xia is a master candidate in School of Nuclear Science and Engineering, North China Electric Power University, People's Republic of China.

You Wang

You Wang is a master candidate in MOE Key Laboratory of Thermo-Fluid Science and Engineering, Xi'an Jiaotong University, People's Republic of China.

Jinzhu Chen

Jinzhu Chen is a master candidate in School of Nuclear Science and Engineering, North China Electric Power University, People's Republic of China.

Xiaochuan Li

Xiaochuan Li is an Associate Professor in School of Chemical Engineering and Technology, China University of Mining and Technology, People's Republic of China.

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