关于飞行员飞行热舒适度和工作效率的 CFD 和机器学习综合分析

IF 5.9 1区工程技术 Q1 ENGINEERING, MECHANICAL

Engineering Applications of Computational Fluid Mechanics Pub Date : 2024-10-30 DOI:10.1080/19942060.2024.2421002

Xueren Li, Ziqi Chen, Yin Tang, Yihuan Yan, Bichen Shang, Shengjin Xu, Jiyuan Tu

引用次数: 0

摘要

在驾驶舱内，最大限度地减少飞行员因太阳照射而产生的热不适感，同时确保清晰的能见度至关重要。本研究通过数值方法研究了太阳辐射对驾驶舱内热不适感的影响。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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 f...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Engineering Applications of Computational Fluid Mechanics ENGINEERING, MULTIDISCIPLINARY-ENGINEERING, MECHANICAL

CiteScore

10.60

自引率

14.80%

发文量

109

审稿时长

3.4 months

期刊介绍： The aim of Engineering Applications of Computational Fluid Mechanics is a continuous and timely dissemination of innovative, practical and industrial applications of computational techniques to solve the whole range of hitherto intractable fluid mechanics problems. The journal is a truly interdisciplinary forum and publishes original contributions on the latest advances in numerical methods in fluid mechanics and their applications to various engineering fields including aeronautic, civil, environmental, hydraulic and mechanical. The journal has a distinctive and balanced international contribution, with emphasis on papers addressing practical problem-solving by means of robust numerical techniques to generate precise flow prediction and optimum design, and those fostering the thorough understanding of the physics of fluid motion. It is an open access journal.