Transport and chemical kinetics of H2/N2 jet flame: A flamelet modelling approach with NOx prediction

Dublin Core

Title

Transport and chemical kinetics of H2/N2 jet flame: A flamelet modelling approach with NOx prediction

Subject

Non-premixed flame
Turbulent Combustion
Flamelet modelling

Description

 In this work simulation of a turbulent H2/N2 jet diffusion flame with flamelet modelling has been presented. The favre-averaged mixture fraction has been employed to model the combustion. Favre-averaged scalar quantities have been calculated from flamelet libraries by making use of a presumed Probability Density Function (PDF) method. The predicted flame temperature profiles and chemical species concentrations are compared with TNF experimental data obtained from Sandia/California. Predictions considering the unity Lewis number flamelet are found to be in good agreement with temperature and chemical species measurements. Predicted NO results also compared and shown with other species. This study shows that the combustion simulation using unity Lewis number flamelets are effective for predicting the flow, temperature and chemical kinetics of H2/N2 diffusion flame. To account for fluctuations of mixture fraction, its distribution is presumed to have the shape of a beta-function. Keywords: Non-premixed flame, Turbulent Combustion, Flamelet modelling   doi: 10.3329/jname.v2i1.2028 Journal of Naval Architecture and Marine Engineering 2(1)(2005)33-40

Creator

Alim, MA
Malalasekera, W

Source

Journal of Naval Architecture and Marine Engineering; Vol. 2 No. 1 (2005); 33-40
2070-8998
1813-8535

Publisher

Association of Naval Architects and Marine Engineers

Date

2009-02-10

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion

Identifier

Citation

MA Alim and W Malalasekera, Transport and chemical kinetics of H2/N2 jet flame: A flamelet modelling approach with NOx prediction, Association of Naval Architects and Marine Engineers, 2009, accessed November 8, 2024, https://igi.indrastra.com/items/show/3165

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