Low-emission methane fueled dual-bypass turbofan engine optimization based on machine learning: Energy-economic-environmental (3E) analysis
In aero propulsion, fuel consumption and pollutant rate emitted by aero engines are the most important issues in supersonic flight. In this research, a dual-bypass turbofan engine is proposed as an alternative to conventional turbofan engines, having less fuel consumption and less pollutant producti...
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| Main Authors: | Mohammadreza Sabzehali, Mahdi Alibeigi, Saeed Karimian Aliabadi |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-05-01
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| Series: | Cleaner Engineering and Technology |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666790825000424 |
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