Search Results for author: Mohammadreza Sabzehali

Found 3 papers, 0 papers with code

Energy-Environment evaluation and Forecast of a Novel Regenerative turboshaft engine combine cycle with DNN application

no code implementations24 Sep 2022 Mahdi Alibeigi, Mohammadreza Sabzehali

Also, R and R^2 are noticeably calculated very close to 1 for both thermal Efficiency and NOx emission mass flow rate for both validations of thermal efficiency and NOx emission mass flow rate prediction values with its training and its testing data.

Prediction of the energy and exergy performance of F135 PW100 turbofan engine via deep learning

no code implementations24 Aug 2022 Mohammadreza Sabzehali, Amir Hossein Rabieeb, Mahdi Alibeigia, Amir Mosavi

Based on the results obtained in the first phase, to model the thermodynamic performance of the aforementioned engine cycle, Flight-Mach number and flight altitude are considered to be 2. 5 and 30, 000 m, respectively; due to the operational advantage of supersonic flying at high altitude flight conditions, and the higher thrust of hydrogen fuel.

Energy-Exergy Analysis and Optimal Design of a Hydrogen Turbofan Engine

no code implementations14 Aug 2022 Mohammadreza Sabzehali, Somayeh Davoodabadi Farahani, Amir Mosavi

In on design conditions, entropy generation rate, nitrogen oxide production rate, and TSFC for the chosen cycle based on the economic approach +18. 89 percent, +10. 01 percent, and -0. 21percent, respectively, and based on the exero-environmental approach -54. 03percent, -42. 02percent, and +21. 44percent change compared to the base engine, respectively.

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