Impact prediction model of acetone at various ignition advance by artificial neural network and response surface methodology techniques for spark ignition engine
In this study, it was aimed to predict and optimize the effects of acetone/gasoline mixtures on spark ignition engine responses at different engine speeds and ignition advance values with artificial neural network and response surface methodology. The regression results obtained from response surfac...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
EDP Sciences
2022-01-01
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| coleção: | Science and Technology for Energy Transition |
| Assuntos: | |
| Acesso em linha: | https://www.stet-review.org/articles/stet/full_html/2022/01/stet20220014/stet20220014.html |
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