scholarly journals Thermal radiation model for dynamic fireballs with shadowing

2019 ◽  
Vol 128 ◽  
pp. 372-384
Author(s):  
J.M. Bonilla ◽  
A. Àgueda ◽  
M.A. Muñoz ◽  
J.A. Vílchez ◽  
E. Planas
1977 ◽  
Vol 14 (11) ◽  
pp. 641-647 ◽  
Author(s):  
G. H. Watson ◽  
A. L. Lee

2018 ◽  
Vol 5 (7) ◽  
pp. 171880
Author(s):  
M. Miklavčič

It is shown that unstable dual solutions in fully developed mixed convection flow in a vertical channel disappear in the presence of relatively strong thermal radiation. In this case, we have a unique stable flow at each pressure gradient. When the effect of thermal radiation is weak another branch of stable solutions is created, resulting in bistable flows. In this case, the flow exhibits hysteresis with variation of the pressure gradient. Optically, a thin radiation model is used.


2013 ◽  
Vol 380-384 ◽  
pp. 1685-1688
Author(s):  
Jian Feng Zhou

The hazard of pool fire is mainly thermal radiation damage. In this paper, a multi-point source model of pool fire thermal radiation is proposed. The thermal sources are the particles constituting the flame which is established by incorporating particle system with Monte Carlo method. A study case of gasoline pool fire is simulated by this model, and the radiation results evaluated by this model are compared with those evaluated by the traditional point source model and the measured data.


2019 ◽  
Vol 379 ◽  
pp. 120801 ◽  
Author(s):  
Congling Shi ◽  
Wei Liu ◽  
Wenjie Hong ◽  
Maohua Zhong ◽  
Xingkai Zhang

Author(s):  
Yoshihide Sugimoto ◽  
Jozef van der Ha ◽  
Benny Rievers

2018 ◽  
Vol 140 (9) ◽  
Author(s):  
Hao Wu ◽  
Nan Gui ◽  
Xingtuan Yang ◽  
Jiyuan Tu ◽  
Shengyao Jiang

For the heat transfer of pebble or granular beds (e.g., high temperature gas-cooled reactors (HTGR)), the particle thermal radiation is an important part. Using the subcell radiation model (SCM), which is a generic theoretical approach to predict effective thermal conductivity (ETC) of particle radiation, particle-scale investigation of the nuclear packed pebble beds filled with monosized or multicomponent pebbles is performed here. When the radial porosity distribution is considered, the ETC of the particle radiation decreases significantly at near-wall region. It is shown that radiation exchange factor increases with the surface emissivity. The results of the SCM under different surface emissivity are in good agreement with the existing correlations. The discrete heat transfer model in particle scale is presented, which combines discrete element method (DEM) and particle radiation model, and is validated by the transient experimental results. Compared with the discrete simulation results of polydisperse beds, it is found that the SCM with the effective particle diameter can be used to analyze behavior of the radiation in polydisperse beds.


Author(s):  
Alexander L. Brown ◽  
Flint Pierce

The M-1 radiation model is a thermal radiation transport model that is derived from a maximum entropy approximation to the radiative transport equation. It involves the solution of four hyperbolic equations for conservation of radiative energy. The M-1 model has similarities to the classical diffusion approximations (like P-1), but is able to better predict directed flux. Consequently, shadowing and long-range transport can be well resolved for a fraction of the cost of methods with exponentially increasing accuracy costs like the method of discrete ordinates and Monte Carlo ray-tracing. The M-1 method is mostly used historically in astronomical radiation transport, but has recently been shown to work for combustion applications of smaller scale. Past work has shown it to give good comparisons to fire problems with length scales of interest. Because of the potential for the model to predict radiation transport more cost-effectively, it is being examined for implementation as an option in our fire codes. We present the theory behind the model. The Eddington factor is used to partition directed and diffuse radiation. It is normally modeled since it is derived from a transcendental functional relationship. We analyze Eddington factor models presented in previous work, and present a new model that we show to be superior in most ways to all the previously presented models. Some 1-dimensional calculations are also shown that illustrate the potential accuracy and challenges with implementing the M-1 model. Such challenges include the specification of boundary conditions and the development of robust solver methods.


2005 ◽  
Author(s):  
Thomas Bornkessel ◽  
Prof. Michael Schaefer

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