Development of a CFD-Suitable Deep Neural Network Model for Laminar Burning Velocity
Hydrogen is a valued resource for today’s industry. As a fuel, it produces large amounts of energy and creates water during the process, unlike most other polluting energy sources. However, the safe use of hydrogen requires reliable tools able to accurately predict combustion. This study presents th...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-07-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/15/7460 |
| _version_ | 1797442974044389376 |
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| author | Andrius Ambrutis Mantas Povilaitis |
| author_facet | Andrius Ambrutis Mantas Povilaitis |
| author_sort | Andrius Ambrutis |
| collection | DOAJ |
| description | Hydrogen is a valued resource for today’s industry. As a fuel, it produces large amounts of energy and creates water during the process, unlike most other polluting energy sources. However, the safe use of hydrogen requires reliable tools able to accurately predict combustion. This study presents the implementation of a deep neural network of laminar burning velocity of hydrogen into an open-source CFD solver flameFoam. DNN was developed based on a previously created larger DNN, which was too large for CFD applications since the calculations took around 40 times longer compared to the Malet correlation. Therefore, based on the original model, a faster, but still accurate, DNN was developed and implemented into flameFoam starting with version 0.10. The paper presents the adaptation of the original DNN into a CFD-applicable version and the initial test results of the CFD–DNN simulation. |
| first_indexed | 2024-03-09T12:49:24Z |
| format | Article |
| id | doaj.art-c7b19158477440d797a5226bb4d660ae |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T12:49:24Z |
| publishDate | 2022-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-c7b19158477440d797a5226bb4d660ae2023-11-30T22:08:46ZengMDPI AGApplied Sciences2076-34172022-07-011215746010.3390/app12157460Development of a CFD-Suitable Deep Neural Network Model for Laminar Burning VelocityAndrius Ambrutis0Mantas Povilaitis1Laboratory of Nuclear Installation Safety, Lithuanian Energy Institute, Breslaujos g. 3, LT-44403 Kaunas, LithuaniaLaboratory of Nuclear Installation Safety, Lithuanian Energy Institute, Breslaujos g. 3, LT-44403 Kaunas, LithuaniaHydrogen is a valued resource for today’s industry. As a fuel, it produces large amounts of energy and creates water during the process, unlike most other polluting energy sources. However, the safe use of hydrogen requires reliable tools able to accurately predict combustion. This study presents the implementation of a deep neural network of laminar burning velocity of hydrogen into an open-source CFD solver flameFoam. DNN was developed based on a previously created larger DNN, which was too large for CFD applications since the calculations took around 40 times longer compared to the Malet correlation. Therefore, based on the original model, a faster, but still accurate, DNN was developed and implemented into flameFoam starting with version 0.10. The paper presents the adaptation of the original DNN into a CFD-applicable version and the initial test results of the CFD–DNN simulation.https://www.mdpi.com/2076-3417/12/15/7460turbulent premixed combustionhydrogenartificial neural networkCFDlaminar burning velocity |
| spellingShingle | Andrius Ambrutis Mantas Povilaitis Development of a CFD-Suitable Deep Neural Network Model for Laminar Burning Velocity Applied Sciences turbulent premixed combustion hydrogen artificial neural network CFD laminar burning velocity |
| title | Development of a CFD-Suitable Deep Neural Network Model for Laminar Burning Velocity |
| title_full | Development of a CFD-Suitable Deep Neural Network Model for Laminar Burning Velocity |
| title_fullStr | Development of a CFD-Suitable Deep Neural Network Model for Laminar Burning Velocity |
| title_full_unstemmed | Development of a CFD-Suitable Deep Neural Network Model for Laminar Burning Velocity |
| title_short | Development of a CFD-Suitable Deep Neural Network Model for Laminar Burning Velocity |
| title_sort | development of a cfd suitable deep neural network model for laminar burning velocity |
| topic | turbulent premixed combustion hydrogen artificial neural network CFD laminar burning velocity |
| url | https://www.mdpi.com/2076-3417/12/15/7460 |
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