An integrated CFD and machine learning analysis on pilots in-flight thermal comfort and productivity

An integrated CFD and machine learning analysis on pilots in-flight thermal comfort and productivity

In the cockpit, minimising the pilots' thermal discomfort due to solar exposure while ensuring clear visibility is essential. This study numerically examined the solar radiation effect on thermal fields of an Airbus A320 cockpit and assessed global and local thermal comfort of three aircrews us...

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Bibliographic Details
Main Authors: Xueren Li, Ziqi Chen, Yin Tang, Yihuan Yan, Bichen Shang, Shengjin Xu, Jiyuan Tu
Format: Article
Language:English
Published: Taylor & Francis Group 2024-12-01
Series:Engineering Applications of Computational Fluid Mechanics
Subjects:
Commercial airliner cockpit
thermal comfort
solar radiation
machine learning
pilots' productivity
XGBoost
Online Access:https://www.tandfonline.com/doi/10.1080/19942060.2024.2421002
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https://www.tandfonline.com/doi/10.1080/19942060.2024.2421002

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