Gutiérrez‐Jorquera, Juan ; Kummer, Florian (2022)
A fully coupled high‐order discontinuous Galerkin method for diffusion flames in a low‐Mach number framework.
In: International Journal for Numerical Methods in Fluids, 2022, 94 (4)
doi: 10.26083/tuprints-00021545
Article, Secondary publication, Publisher's Version
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Item Type: | Article |
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Type of entry: | Secondary publication |
Title: | A fully coupled high‐order discontinuous Galerkin method for diffusion flames in a low‐Mach number framework |
Language: | English |
Date: | 24 June 2022 |
Place of Publication: | Darmstadt |
Year of primary publication: | 2022 |
Publisher: | John Wiley & Sons |
Journal or Publication Title: | International Journal for Numerical Methods in Fluids |
Volume of the journal: | 94 |
Issue Number: | 4 |
DOI: | 10.26083/tuprints-00021545 |
Corresponding Links: | |
Origin: | Secondary publication DeepGreen |
Abstract: | We present a fully coupled solver based on the discontinuous Galerkin method for steady‐state diffusion flames using the low‐Mach approximation of the governing equations with a one‐step kinetic model. The nonlinear equation system is solved with a Newton–Dogleg method and initial estimates for flame calculations are obtained from a flame‐sheet model. Details on the spatial discretization and the nonlinear solver are presented. The method is tested with reactive and nonreactive benchmark cases. Convergence studies are presented, and we show that the expected convergence rates are obtained. The solver for the low‐Mach equations is used for calculating a differentially heated cavity configuration, which is validated against benchmark solutions. Additionally, a two‐dimensional counter diffusion flame is calculated, and the results are compared with the self‐similar one dimensional solution of said configuration. |
Uncontrolled Keywords: | diffusion flames, discontinuous Galerkin, high‐order methods, low‐Mach equations, Newton method |
Status: | Publisher's Version |
URN: | urn:nbn:de:tuda-tuprints-215457 |
Classification DDC: | 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering |
Divisions: | 16 Department of Mechanical Engineering > Fluid Dynamics (fdy) |
Date Deposited: | 24 Jun 2022 12:57 |
Last Modified: | 14 Nov 2023 19:04 |
SWORD Depositor: | Deep Green |
URI: | https://tuprints.ulb.tu-darmstadt.de/id/eprint/21545 |
PPN: | 499655117 |
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