Acceleration of Modeling Capability for GDI Spray by Machine-Learning Algorithms
Cold start causes a high amount of unburned hydrocarbon and particulate matter emissions in gasoline direct injection (GDI) engines. Therefore, it is necessary to understand the dynamics of spray during a cold start and develop a predictive model to form a better air-fuel mixture in the combustion c...
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| Päätekijät: | , , |
|---|---|
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
MDPI AG
2024-11-01
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| Sarja: | Fluids |
| Aiheet: | |
| Linkit: | https://www.mdpi.com/2311-5521/9/11/267 |
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