Band Lumping Strategy for Radiation Heat Transfer Calculations Using a Narrowband Model

Liu, Fengshan; Smallwood, Gregory J.; Gülder, Ömer L.

doi:10.2514/2.6521

Cited by 60 publications

(26 citation statements)

References 12 publications

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“…A statistical narrow-band correlated-k (SNBCK) based band model (bandwidth 250 cm −1 ) developed by Liu et al [27,28] was employed to obtain the absorption coefficients of CO, CO 2 and H 2 Oat each band. Based on the experimental measurement of Buckius and Tien [29], the spectral absorption coefficient of soot was assumed to be 5.5f v ν with f v being the soot volume fraction and ν the wavenumber of each spectral band.…”

Section: Radiation Modelmentioning

confidence: 99%

Numerical modelling of soot formation and oxidation in laminar coflow non-smoking and smoking ethylene diffusion flames

Liu¹,

Guo²,

Smallwood³

et al. 2003

TCTM

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122

103

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Section: Radiation Modelmentioning

confidence: 99%

Numerical modelling of soot formation and oxidation in laminar coflow non-smoking and smoking ethylene diffusion flames

Liu¹,

Guo²,

Smallwood³

et al. 2003

TCTM

Self Cite

122

103

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“…The probability of sticking in each collision, [19] is assumed to be 0.55 [13]. The source term in the energy equation due to the nongray radiative heat transfer by soot, H 2 O, CO 2 , and CO, is calculated using the discrete-ordinates method and a statistical narrow-band correlated-k-based model developed by Liu et al [20].…”

Section: Model Descriptionmentioning

confidence: 99%

A numerical and experimental study of a laminar sooting coflow Jet-A1 diffusion flame

Saffaripour

Zabeti

Dworkin

et al. 2011

Proceedings of the Combustion Institute

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A numerical and experimental study of a laminar sooting coflow jet-A1 diffusion flame Saffaripour, M.; Zabeti, P.; Dworkin, S. B.; Zhang, Q.; Thomson, M. J.; Guo, H.; Liu, F.; Smallwood, G. J. Proceedings of Combustion Institute -Canadian SectionSpring Technical Meeting Carleton University, Ottawa IntroductionDeveloping multidimensional flame models for blended liquid fuels, such as jet fuel, is challenging, mainly due to the very large chemical kinetic mechanisms and the associated computational resources required. Numerous researchers use a surrogate mixture to approximate the chemical and thermophysical properties of complex multicomponent blends. Honnet et al.[1] performed detailed calculations of an opposed jet diffusion flame using a surrogate mixture (80% n-decane and 20% 1,2,4-trimethylbenzene, by mass) and measured the soot volume fraction, autoignition, and extinction properties of both aviation kerosene and the surrogate. The results of the experiments for the surrogate and the actual jet fuel were reasonably close. The agreement between the numerical calculations using the detailed chemical kinetic mechanism of the surrogate, and the experiments were also satisfactory. Moss et al.[2] implemented a flamelet-based two-equation soot model for a simple Jet-A surrogate, comprising 77% ndecane and 23% 1,3,5-trimethylbenzene by liquid volume, in a laminar coflow diffusion flame, and measured soot volume fraction, mixture fraction, and temperature. The radial soot volume fraction profiles and location of the peak concentration were predicted reasonably well. Wen et al. [3] modeled soot formation in a turbulent coflow nonpremixed kerosene flame using a kerosene surrogate (20% toluene and 80% decane by liquid volume), a laminar flamelet approach, and the 141-chemical species mechanism of Dagaut et al. [4]. Comparisons were made for soot volume fraction and soot number density. After unsatisfactory initial comparisons, improvements were obtained in the results with a Polyaromatic Hydrocarbon (PAH)-based soot inception model as compared to an acetylene-based model.Numerically solving multidimensional flames with detailed chemistry and transport proves to be a computationally intensive task, especially when complex fuels, such as jet fuel, are considered. Due to the inherently high computational cost of such models, parallel implementation has seen significant development in the last two decades. In 1991, Smooke and Giovangigli [5] presented a numerical simulation of a laminar coflow methane/air diffusion flame with 6 processors, using strip-domain decomposition. Since that time, numerous researchers have utilized a similar strip-domain decomposition strategy wherein subdomain boundaries are placed perpendicular to the axial flow direction. Zhang et al. [6,7] developed a detailed model for an ethylene/air coflow flame using a semi-implicit scheme and divided the computational domain into 16 subdomains. Flame temperatures, species concentrations, soot volume fraction, and soot number density compared well to exp...

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“…The same unity sphere as above is meshed with 30 000 tetrahedra and filled with an isothermal gas containing water vapor and nitrogen. The spectral dependency of the absorption coefficient is here represented with the use of a SNB-ck model [23][24][25]. The SNB data have been provided by the EM2C laboratory [26].…”

Section: Accuracy Levels Associated To Finite Volume Approximations Fmentioning

confidence: 99%

Comparison of three spatial differencing schemes in discrete ordinates method using three-dimensional unstructured meshes

Joseph

Hafi

Fournier

et al. 2005

International Journal of Thermal Sciences

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A radiative heat transfer code based on the discrete ordinates method applied to unstructured grids has been developed to be coupled with a finite volume CFD code for combustion applications. The constraints are that: (1) Accurate coupling with a finite volume CFD code requires that the output is the integrated radiative source term within each mesh; (2) The resulting computation times must remain acceptable within the combustion requirements (of the order of an hour for realistic industrial geometries); (3) the line spectra of combustion gases must be accurately represented across the whole infrared range. Here, gaseous line spectra properties are represented with the SNB-ck model using narrow bands parallelization. The radiative transfer equation is discretized with a finite volume approach and three schemes are tested ("exponential", "step" and "diamond mean flux") in terms of accuracy and computational requirement. They are first tested for academic gray cases, solutions being compared to reference solutions provided by the Ray Tracing Method and the Monte Carlo Method. The behavior of the three schemes is also discussed for a spherical geometry, using an analytical solution in order to perform a parametric study of the absorption optical thickness influence in a wide range typical of spectral line gaseous radiation. Final tests involving a complete water vapor spectrum are performed in order to test the effects of preceding conclusions in terms of expected accuracies for combustion applications.  2005 Elsevier SAS. All rights reserved.

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Band Lumping Strategy for Radiation Heat Transfer Calculations Using a Narrowband Model

Cited by 60 publications

References 12 publications

Numerical modelling of soot formation and oxidation in laminar coflow non-smoking and smoking ethylene diffusion flames

Numerical modelling of soot formation and oxidation in laminar coflow non-smoking and smoking ethylene diffusion flames

A numerical and experimental study of a laminar sooting coflow Jet-A1 diffusion flame

Comparison of three spatial differencing schemes in discrete ordinates method using three-dimensional unstructured meshes

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