Combining machine learning with 3D-CFD modeling for optimizing a DISI engine performance during cold-start
This work presents a methodology for using machine learning (ML) techniques in combination with 3D computational fluid dynamics (CFD) modeling to optimize the cold-start fast-idle phase of a gasoline direct injection spark ignition (DISI) engine. The optimization process implies the identification o...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-09-01
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| Series: | Energy and AI |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666546821000264 |