Investigation of turbulence models applied to premixed combustion using a level-set flamelet library approach
(2003) 2003 ASME Turbo Expo 2. p.251-258- Abstract
- Most of the common modeling approaches to premixed combustion in engineering applications are either based on the assumption of infinitely fast chemistry or the flamelet assumption with simple chemistry. The level-set flamelet library approach (FLA) has shown great potential in predicting major species and heat release, as well as intermediate and minor species, where more simple models often fail. In this approach, the mean flame surface is tracked by a level-set equation. The flamelet libraries are generated by an external code, which employs a detailed chemical mechanism. However, a model for the turbulent flame speed is required, which, amongst other considerations, depends on the turbulence intensity, i.e. these models may show... (More)
- Most of the common modeling approaches to premixed combustion in engineering applications are either based on the assumption of infinitely fast chemistry or the flamelet assumption with simple chemistry. The level-set flamelet library approach (FLA) has shown great potential in predicting major species and heat release, as well as intermediate and minor species, where more simple models often fail. In this approach, the mean flame surface is tracked by a level-set equation. The flamelet libraries are generated by an external code, which employs a detailed chemical mechanism. However, a model for the turbulent flame speed is required, which, amongst other considerations, depends on the turbulence intensity, i.e. these models may show sensitivity to turbulence modeling. In this paper, the FLA model was implemented in the commercial CFD program Star-CD, and applied to a lean premixed flame stabilized by a triangular prism (bluff body). The objective of this paper has been to investigate the impact on the mean flame position, and hence on the temperature and species distribution, using three different turbulent flame speed models in combination with four different turbulence models. The turbulence models investigated are: the standard k-ε model, a cubic non-linear k-ε model, the standard k-ω model and the Shear Stress Transport (SST) k-ω model. In general, the computed results agree well with experimental data for all computed cases, although the turbulence intensity is strongly underestimated at the downstream position. The use of the non-linear k-ε model offers no advantage over the standard model, regardless of flame speed model. The k-ω based turbulence models predict the highest turbulence intensity with the shortest flame lengths as a consequence. The Muωller flame speed model shows the least sensitivity to the choice of turbulence model. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/611908
- author
- Engdar, Ulf LU ; Nilsson, Per and Klingmann, Jens LU
- organization
- publishing date
- 2003
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- keywords
- Premixed combustion systems, Large eddy simulations (LES)
- host publication
- ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference
- volume
- 2
- pages
- 251 - 258
- publisher
- American Society Of Mechanical Engineers (ASME)
- conference name
- 2003 ASME Turbo Expo
- conference location
- Atlanta, GA, United States
- conference dates
- 2003-06-16 - 2003-06-19
- external identifiers
-
- scopus:0348217859
- language
- English
- LU publication?
- yes
- id
- 6a1252c2-95ae-4e39-9ad6-8494fef67743 (old id 611908)
- date added to LUP
- 2016-04-04 12:10:10
- date last changed
- 2022-01-29 23:03:22
@inproceedings{6a1252c2-95ae-4e39-9ad6-8494fef67743,
abstract = {{Most of the common modeling approaches to premixed combustion in engineering applications are either based on the assumption of infinitely fast chemistry or the flamelet assumption with simple chemistry. The level-set flamelet library approach (FLA) has shown great potential in predicting major species and heat release, as well as intermediate and minor species, where more simple models often fail. In this approach, the mean flame surface is tracked by a level-set equation. The flamelet libraries are generated by an external code, which employs a detailed chemical mechanism. However, a model for the turbulent flame speed is required, which, amongst other considerations, depends on the turbulence intensity, i.e. these models may show sensitivity to turbulence modeling. In this paper, the FLA model was implemented in the commercial CFD program Star-CD, and applied to a lean premixed flame stabilized by a triangular prism (bluff body). The objective of this paper has been to investigate the impact on the mean flame position, and hence on the temperature and species distribution, using three different turbulent flame speed models in combination with four different turbulence models. The turbulence models investigated are: the standard k-ε model, a cubic non-linear k-ε model, the standard k-ω model and the Shear Stress Transport (SST) k-ω model. In general, the computed results agree well with experimental data for all computed cases, although the turbulence intensity is strongly underestimated at the downstream position. The use of the non-linear k-ε model offers no advantage over the standard model, regardless of flame speed model. The k-ω based turbulence models predict the highest turbulence intensity with the shortest flame lengths as a consequence. The Muωller flame speed model shows the least sensitivity to the choice of turbulence model.}},
author = {{Engdar, Ulf and Nilsson, Per and Klingmann, Jens}},
booktitle = {{ASME Turbo Expo 2003, collocated with the 2003 International Joint Power Generation Conference}},
keywords = {{Premixed combustion systems; Large eddy simulations (LES)}},
language = {{eng}},
pages = {{251--258}},
publisher = {{American Society Of Mechanical Engineers (ASME)}},
title = {{Investigation of turbulence models applied to premixed combustion using a level-set flamelet library approach}},
volume = {{2}},
year = {{2003}},
}