1996
DOI: 10.1080/00102209608952000
|View full text |Cite
|
Sign up to set email alerts
|

NOxPrediction in 3-D Turbulent Diffusion Flames by Using Implicit Multigrid Methods

Abstract: Modeling of the nitric oxide formation in the turbulent non premixed methane and syngas (CO/H,/N,) diffusion flame is studied using an implicit time-stepping and multigrid technique. The chemical kinetic model for both methane-air in a sudden-expansion combustor and syngasair combustion in a laboratory combustor as wellas in a gas turbine combustor is assumed to have 49 species and 229 finite-rate, reversible reaction steps. The standard k-£ turbulence model and the algebraic correlation closure model are appl… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2000
2000
2022
2022

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 16 publications
(1 citation statement)
references
References 19 publications
0
1
0
Order By: Relevance
“…As a result, the species, which migrate with velocities different from v , are simulated “out of the grid”. This leads to rounding errors that are severely aggravated by sharp fronts of electrophoretic peaks. , We addressed this problem by adopting the multigrid approach, which was successfully used in other areas of physical sciences. We designed a multigrid algorithm for solving system 2 with an individual Δ x for every one of the three components: …”
Section: Resultsmentioning
confidence: 99%
“…As a result, the species, which migrate with velocities different from v , are simulated “out of the grid”. This leads to rounding errors that are severely aggravated by sharp fronts of electrophoretic peaks. , We addressed this problem by adopting the multigrid approach, which was successfully used in other areas of physical sciences. We designed a multigrid algorithm for solving system 2 with an individual Δ x for every one of the three components: …”
Section: Resultsmentioning
confidence: 99%