Predicting the energy and exergy performance of F135 PW100 turbofan engine via deep learning approach-Reference-Cited by-同舟云学术

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

Published:2022-08 Issue: Volume:265 Page:115775
ISSN:0196-8904
Container-title:Energy Conversion and Management
language:en
Short-container-title:Energy Conversion and Management

Author:

Sabzehali Mohammadreza,Hossein Rabiee Amir,Alibeigi Mahdi,Mosavi Amir

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference51 articles.

1. Performance analysis of high bypass ratio turbofan aeroengine;El-Sayed;Int J Dev Res,2016

2. Three-spool turbofan pass-off test data analysis using an optimization-based diagnostic technique;Saias;Proc Inst Mech Eng, Part A: J Power Energy,2021

3. TF33 Turbofan engine in every respect: Performance, environmental, and sustainability assessment;Balli;Environ Prog Sustainable Energy,2021

4. Numerical modeling on installed performance of turbofan engine with inlet ejector;Chen;Aerosp Sci Technol,2021

5. Performance evaluation of a novel re-cooled mixed-flow turbofan cycle for aviation power application;Xu;J Therm Anal Calorim,2021

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