Mathematical Modeling of Heat and Mass Transfer in Energy Science and Engineering

Zhang, Zhijun; Dou, Hua-Shu; Zbiciński, Ireneusz; Wu, Zhonghua; Li, Jun

doi:10.1155/2013/241646

Cited by 1 publication

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“…Based on the assumptions above, we use the threedimensional steady incompressible Navier-Stokes equation to describe the gas flow along the tunnel in fully mechanized working faces [23]. We also use the k-model to describe the turbulence effect and ignore heat transfer.…”

Section: Mine Dust Particles Migration Modelmentioning

confidence: 99%

Numerical Study on Infrared Optical Property of Diffuse Coal Particles in Mine Fully Mechanized Working Combined with CFD Method

Wang

Shi

et al. 2015

Mathematical Problems in Engineering

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Coal dust seriously threatens the safety and occupational health of coal mines. Numerical simulation research on the infrared radiation characteristics of diffused coal dust is carried out in fully mechanized working faces based on the optical monitoring problem of dust particles in mine atmospheric environments. The CFD method is applied to obtain the law of dust transport and distribution. Combined with Mie scattering model, the infrared radiation change characteristics and spectral selection of diffused coal dust particles are simulated and analyzed along the working face. The comparison results show the following: the attenuation and scattering characteristics of mine dust particles system are first enhanced, and then they weaken as the distance from dust source increases. The infrared attenuation of mine dust at the center of the vertical cross-section is generally greater than that at the roof and floor in the same location. The dispersion of mine dust directly determines the attenuation contribution of respirable dust to total dust. Moreover, the infrared absorption effect of functional groups in coal causes the infrared attenuation effect of coal dust to have obvious optical selectivity along the roadway, the existing optical “window.”

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Section: Mine Dust Particles Migration Modelmentioning

confidence: 99%