Prediction of ignition delay times of Jet A-1/hydrogen fuel mixture using machine learning-Reference-Cited by-同舟云学术

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Prediction of ignition delay times of Jet A-1/hydrogen fuel mixture using machine learning

Published:2022-08 Issue: Volume:127 Page:107675
ISSN:1270-9638
Container-title:Aerospace Science and Technology
language:en
Short-container-title:Aerospace Science and Technology

Author:

Huang Yunzhe,Jiang Chongwen,Wan Kaidi,Gao Zhenxun,Vervisch Luc^ORCID,Domingo Pascale^ORCID,He Yong,Wang Zhihua,Lee Chun-Hian,Cai Qiaoyan,Liu Jieping

Funder

Ministry of Science and Technology of the People's Republic of China

Natural Science Foundation of Zhejiang Province

State Key Laboratory of Clean Energy Utilization

National Natural Science Foundation of China

Natural Science Foundation of Ningbo

Publisher

Elsevier BV

Subject

Aerospace Engineering

Reference55 articles.

1. Performance assessment of a multi-fuel hybrid engine for future aircraft;Yin;Aerosp. Sci. Technol.,2018

2. Fuel efficiency improvement on a business jet using a camber morphing winglet concept;Eguea;Aerosp. Sci. Technol.,2020

3. Liquid hydrogen fuel tanks for commercial aviation: structural sizing and stress analysis;Gomez;Aerosp. Sci. Technol.,2019

4. Challenges and benefits offered by liquid hydrogen fuels in commercial aviation;Rondinelli,2014

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