Numerical Analysis of Dedusting Effects of Harmful Dust in Confined Workplace

Abstract:

This paper aims to the study of dedusting effects in confined workplace using finite volume method. First, the diffusion phenomenon of dust flow is described by discrete phase model, and the numerical results are compared with the experimental data. Second, the concentration of dust flow, which mixes with SiO₂ and air, is calculated by three different dedusting methods, such as the exhaust fan method, the window ventilation method and the humidifying spray method. In terms of comparison results, the exhaust fan method has the best dust removal effect in confined workplace, and the humidifying spray method has the worst effect. The paper provides a technical support for dedusting design of confined workplace in the occupational hazards prevention field.

• Periodical: Applied Mechanics and Materials (Volumes 556-562)
• Pages: 4103-4108
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.556-562.4103
• Online since: May 2014
• Authors: Shuang Wang*, Zhi Rong Wang
• Keywords: Confined Workplace, Exhaust Fan, Harmful Dust, Humidifying Spray, Ventilation Window

References

[1] Y. Yang, Z. B. Feng, Interpretation of Hazardous degree classification of workplace with dust, Labour Protection 14(2010), 34-35.

[2] J. Li, R. T. Meng, Analysis of the occupational health examination results of workers in dust works, Disease monitor & control 9(2010), 575.

[3] GBZ-2-2002, Occupational exposure limits for hazardous agents in the workplace, 2002, China.

[4] J. J. Xing, Evaluation and control of occupational hazard, Aviation Industry Press, 2004, China.

[5] W. H. Chen, J. C. Xing, T. M. Shi, The harm of dust and control, Chemical Industry Press, 2005, China.

[6] D. P. Zhang, Occupational health and the occupational hazard control, Chemical Industry Press, 2004, China.

[7] F. Li, Research of distribution rule of cavern stope's dust concentration based on FLUENT software, Qingdao Technological University, 2010, China.

[8] H. Kang, T. W. Jones, Numerical studies of diffusive shock acceleration at spherical shocks, Astroparticle Physics 25(2006), 246-258.

DOI: 10.1016/j.astropartphys.2006.02.006

[9] M. Mohan, T. S. Panwar, M. P. Sing, Development of dense gas dispersion model for emergency preparedness, Atmospheric Environment 86(1993), 645-657.

[10] A. Dandrieux, J. P. Dimbour, G. Dusserre, Are dispersion models for simulating small gaseous chlorine releases? Journal of Loss Prevention in the process Industries 19(2006), 683-689.

DOI: 10.1016/j.jlp.2006.04.001

[11] G. Dong, W. W. Tang, C. Du, et al., Numerical simulations of release and dispersion process from high-pressure natural gas pipeline, Journal of Safety Science and Technology 6(2009), 11-15.

[12] A. Bouazza, T. Vangpaisal, Laboratory investigation of gas leakage rate through a GM/GCL composite liner due to a circular defect in the geomembrane, Geotextiles and Geomembranes 24(2006), 110-115.

DOI: 10.1016/j.geotexmem.2005.11.007

[13] A. G. Venetsanos, T. Huld, P. Adams, etal., Source, dispersion and combustion modeling of an accidental release of hydrogen in an urban environment, Journal of Hazardous Materials A105(2003), 1-25.

DOI: 10.1016/j.jhazmat.2003.05.001

[14] C. Cancelli, M. Demichela, N. Piccinini, Accidental release of hydrogen from a cryogenic tank. Cryogenics 45(2005), 481-488.

DOI: 10.1016/j.cryogenics.2004.07.009

[15] K. Matsuura, H. Kanayama, H. Tsukikawa, et al., Numerical simulation of leaking hydrogen dispersion behavior in partially open space, International Journal of Hydrogen 1(2008), 240-247.

DOI: 10.1016/j.ijhydene.2007.08.028