Experimental Investigation on the Effect of Oxygen Enhancement on Radiation Distribution in Inverse Diffusion Flames

Author(s):  
Baolu Wang ◽  
Qitai Eri ◽  
Ting Li ◽  
Ran Duan

Intense investigations have been focused on radiative heat transfer in oxygen-enhanced inverse diffusion flames since it plays a significant role not only in fundamental combustion research, but also in terrestrial and spacecraft fire safety study. To investigate the characteristics of the radiative heat transfer, a calibrated mid-infrared camera was used to acquire images of radiation intensity including soot and carbon dioxide in the 2–5μm wavelength range. The mole fraction of oxygen in the oxidizer varied from 21% to 100% with co-flowing inverse flame burner used to stabilize the flames. The characteristics of axial and radial radiation intensity distribution in different oxygen enhanced conditions are compared and analyzed. The results indicated that oxygen enhancement broadens the radial range of inner blue reaction zone and stretches the axial height of the plume zone. Similar to radial peak radiation intensity value and the growth rate of radial radiation intensity in different axial heights from X = 1D to X = 3D (X: axial height above the burner along the flame centerline; D: diameter of oxidizer exit), the peak value of radiation intensity and the growth rate of radiation intensity along the flame centerline both have a positive linear relationship with the oxygen mole fraction in the oxidizer.

2014 ◽  
Vol 18 (6) ◽  
pp. 607-626 ◽  
Author(s):  
Jian Cai ◽  
Shenghui Lei ◽  
Adhiraj Dasgupta ◽  
Michael F. Modest ◽  
Daniel C. Haworth

Author(s):  
Jian Cai ◽  
Shenghui Lei ◽  
Adhiraj Dasgupta ◽  
Michael F. Modest ◽  
Dan C. Haworth

Radiative heat transfer is studied numerically for high-pressure laminar H2-air jet diffusion flames, with pressure ranging from 1 to 30 bar. Water vapor is assumed to be the only radiatively participating species. A full spectrum k-distribution spectral model is used. Narrowband k-distributions of water vapor are calculated and databased from the HITEMP 2010 database, which claims to retain accuracy up to 4000K. The full-spectrum k-distributions are assembled from their narrowband counterparts to yield high accuracy with little additional computational cost. The radiative transfer equation (RTE) is solved using various spherical harmonics methods, such as P1, simplified P3 (SP3) and simplified P5 (SP5). The resulting partial differential equations as well as other transport equations in the laminar diffusion flames are discretized with the finite-volume method in OpenFOAM. Differential diffusion effects which are important in laminar hydrogen flames are also included in the scalar transport equations. It was found that peak flame temperature becomes less sensitive to radiation at higher pressure, and that radiation causes cooling in the downstream region. Differences between the three spherical harmonics RTE solver were found negligible below 5 bar.


1989 ◽  
Vol 55 (510) ◽  
pp. 523-528
Author(s):  
Masashi KATSUKI ◽  
Yukio MIZUTANI ◽  
Akihiro ANDO ◽  
Yoshihiro HATTORI ◽  
Yoichi JINJA ◽  
...  

Author(s):  
Masashi KATSUKI ◽  
Yukio MIZUTANI ◽  
Akihiro ANDO ◽  
Yoshihiro HATTORI ◽  
Yoichi JINJA ◽  
...  

2005 ◽  
Author(s):  
Mario Baburic´ ◽  
Reinhard Tatschl ◽  
Neven Duic´

Beside appropriate turbulence and combustion modeling, the problem of an accurate prediction of turbulent diffusion flames usually requires accurate radiative heat transfer predictions as well. In this paper it is shown that the inclusion of radiation modeling into the overall numerical simulation is important if accurate temperature profiles are needed. Two different jet diffusion flame configurations are simulated in this work — a diluted hydrogen jet flame (80% H2 and 20% He by volume) [1–4], and a piloted methane jet diffusion flame (flame D) [5, 6]. The predictions are compared to experimental data. Radiation is modeled by a conservative discrete transfer radiation method (DTRM) [7, 8]. Turbulence is modeled by a classical k-ε and by a hybrid procedure, as proposed in [9]. Combustion modeling is based on the stationary laminar flamelet model (SLFM) [10], where the combustion/turbulence interaction is accomplished via the presumed β probability density function (β-PDF).


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