@inproceedings{faedfe2a08ef45c8bcde9f6005624df0,
title = "Steady-State Stress Prediction of Engine Components Using the State Function Method",
abstract = "In order to obtain the steady-state stress of the critical component for engine preliminary design, this paper performs a comprehensive investigation on the stress estimation using the proposed state function method. The basic principle is the implementation of the engine similarity criteria. To be specific, the steady-state temperature and stress fields of engine components are solely functions of height (H), Mach number (Ma), and rotational speed (N) for the specified engine. Therefore, it is possible to accurately determine the temperature and stress of the components under the desired operating condition. Four coefficients need to be calculated using the sampling points. Results show that the predicted stress of the critical part of HPT and HPC are within 5% errors compared to the finite element analysis results. The proposed method would significantly reduce computational workload and provide good reference for engine preliminary design. This method has significant practical value in engine component life prediction and management.",
keywords = "Aeroengine, Preliminary design, State function, Stress",
author = "Wei Wang and Zhufeng Yue and Junfeng Zhang and Yixiong Liu and Yunwu Wu",
note = "Publisher Copyright: {\textcopyright} The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.; Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023 ; Conference date: 16-10-2023 Through 18-10-2023",
year = "2024",
doi = "10.1007/978-981-97-3998-1_25",
language = "英语",
isbn = "9789819739974",
series = "Lecture Notes in Electrical Engineering",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "291--299",
editor = "Song Fu",
booktitle = "2023 Asia-Pacific International Symposium on Aerospace Technology, APISAT 2023, Proceedings - Volume I",
}