A reduced-order model for turbulent reactive sprays in compression ignition engines
A reduced-order model for turbulent reactive sprays in compression ignition engines
In this work, we present a reduced-order model for transient turbulent reactive sprays in compression ignition engines. The model is an extension of the previously developed cross-sectionally averaged spray model (CAS) (Deshmukh et al., 2021). A transient turbulence model is derived for the gas phase that allows to model the transient scalar dissipation rate, which is a key parameter in non-premixed combustion. Representative chemistry is solved in mixture fraction space interactively with the flow. The turbulent CAS model combined with the combustion model is termed the cross-sectionally averaged reactive turbulent spray (CARTS) model and can represent unsteady non-premixed combustion behavior. The CARTS model is validated against experimental data as well as three-dimensional (3D) numerical simulations. The model is able to reasonably predict the trends of ignition delay time, flame lift-off length, and soot emissions. The computational cost of the CARTS model is orders of magnitude lower than the 3D simulation methods. This low computational cost enables various applications, including but not limited to the rapid screening of novel fuel candidates as well as off-line training of models to be eventually used in closed-loop control.
Flame lift-off, Ignition, Reactive spray, Reduced-order model, Soot, Turbulence
Deshmukh, Abhishek Y.
f742182f-5891-4f28-a1f7-4d60de974e03
Davidovic, Marco
78eb80fe-61ca-4912-a47e-75f2d8e0cc53
Grenga, Temistocle
be0eba30-74b5-4134-87e7-3a2d6dd3836f
Lakshmanan, Raghavan
6322e7b8-e5c9-42f5-b68c-f46d49113d63
Cai, Liming
a26ace37-15e2-4c9a-b917-57d753690d62
Pitsch, Heinz
3dc0eb6e-deca-4742-98a1-f0cdd62ff8b8
1 February 2022
Deshmukh, Abhishek Y.
f742182f-5891-4f28-a1f7-4d60de974e03
Davidovic, Marco
78eb80fe-61ca-4912-a47e-75f2d8e0cc53
Grenga, Temistocle
be0eba30-74b5-4134-87e7-3a2d6dd3836f
Lakshmanan, Raghavan
6322e7b8-e5c9-42f5-b68c-f46d49113d63
Cai, Liming
a26ace37-15e2-4c9a-b917-57d753690d62
Pitsch, Heinz
3dc0eb6e-deca-4742-98a1-f0cdd62ff8b8
Deshmukh, Abhishek Y., Davidovic, Marco, Grenga, Temistocle, Lakshmanan, Raghavan, Cai, Liming and Pitsch, Heinz
(2022)
A reduced-order model for turbulent reactive sprays in compression ignition engines.
Combustion and Flame, 236 (2), [111751].
(doi:10.1016/j.combustflame.2021.111751).
Abstract
In this work, we present a reduced-order model for transient turbulent reactive sprays in compression ignition engines. The model is an extension of the previously developed cross-sectionally averaged spray model (CAS) (Deshmukh et al., 2021). A transient turbulence model is derived for the gas phase that allows to model the transient scalar dissipation rate, which is a key parameter in non-premixed combustion. Representative chemistry is solved in mixture fraction space interactively with the flow. The turbulent CAS model combined with the combustion model is termed the cross-sectionally averaged reactive turbulent spray (CARTS) model and can represent unsteady non-premixed combustion behavior. The CARTS model is validated against experimental data as well as three-dimensional (3D) numerical simulations. The model is able to reasonably predict the trends of ignition delay time, flame lift-off length, and soot emissions. The computational cost of the CARTS model is orders of magnitude lower than the 3D simulation methods. This low computational cost enables various applications, including but not limited to the rapid screening of novel fuel candidates as well as off-line training of models to be eventually used in closed-loop control.
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More information
Accepted/In Press date: 12 September 2021
Published date: 1 February 2022
Additional Information:
Funding Information:
This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany’s Excellence Strategy – Exzellenzcluster 2186 “The Fuel Science Center” ID: 390919832. The authors gratefully acknowledge generous support of the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation program (grant agreement no. 695747). The authors are thankful to Convergent Science Inc. for providing licenses for CONVERGE. The authors gratefully acknowledge the computing time granted by the JARA Vergabegremium and provided on the JARA Partition part of the supercomputer CLAIX at RWTH Aachen University (project no. JARA0212).
Funding Information:
This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) under Germany's Excellence Strategy – Exzellenzcluster 2186 “The Fuel Science Center” ID: 390919832. The authors gratefully acknowledge generous support of the European Research Council (ERC) under the European Unions Horizon 2020 research and innovation program (grant agreement no. 695747). The authors are thankful to Convergent Science Inc. for providing licenses for CONVERGE. The authors gratefully acknowledge the computing time granted by the JARA Vergabegremium and provided on the JARA Partition part of the supercomputer CLAIX at RWTH Aachen University (project no. JARA0212).
Publisher Copyright:
© 2021 The Authors
Keywords:
Flame lift-off, Ignition, Reactive spray, Reduced-order model, Soot, Turbulence
Identifiers
Local EPrints ID: 477422
URI: http://eprints.soton.ac.uk/id/eprint/477422
ISSN: 0010-2180
PURE UUID: 182e4c3e-f698-4b03-858e-1d1ce8d1e1e3
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Date deposited: 06 Jun 2023 16:55
Last modified: 18 Mar 2024 04:10
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Contributors
Author:
Abhishek Y. Deshmukh
Author:
Marco Davidovic
Author:
Temistocle Grenga
Author:
Raghavan Lakshmanan
Author:
Liming Cai
Author:
Heinz Pitsch
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