Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/104820
Title: | Optimal segmented rotor design for the embedded electrical machine for the more electric aircraft | Authors: | Loh, Jenn Yen Prabhu, Mathivanan Anand Wang, Shuai Joshi, Sunil Chandrakant Viswanathan, Vaiyapuri Ramakrishna, Shanmukha |
Keywords: | Segmented Rotor Design DRNTU::Engineering::Mechanical engineering Electric Aircraft |
Issue Date: | 2019 | Source: | Loh, J. Y., Prabhu, M. A., Wang, S., Joshi, S. C., Viswanathan, V., & Ramakrishna, S. (2019). Optimal segmented rotor design for the embedded electrical machine for the more electric aircraft. The Journal of Engineering, 2019(17), 4321-4324. doi:10.1049/joe.2018.8192 | Series/Report no.: | The Journal of Engineering | Abstract: | This study presents the design and analysis of the segmented rotor design for an electrical machine embedded onto the more electric aircraft gas turbine engine shaft. The high-speed operational environment imposes high stress levels due to centrifugal forces; thus, the feasibility of this segmented rotor topology for such application is explored and a suitable design is proposed to overcome mechanical stresses. Finite element structural analysis was performed to compare the mechanical behaviour of a different rotor segment fixing structure and the proposed design. Also, electromagnetic analysis is carried out on a high-speed switched reluctance machine to study the impact of a new design on machine electromagnetic performance. | URI: | https://hdl.handle.net/10356/104820 http://hdl.handle.net/10220/48835 |
DOI: | 10.1049/joe.2018.8192 | Rights: | © 2019 The Author(s). This is an open access article published by the IET under the Creative Commons Attribution -NonCommercial License(http://creativecommons.org/licenses/by-nc/3.0/) | Fulltext Permission: | open | Fulltext Availability: | With Fulltext |
Appears in Collections: | ERI@N Journal Articles MAE Journal Articles |
Files in This Item:
File | Description | Size | Format | |
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JOE-2018-8192-FINAL.pdf | 3.02 MB | Adobe PDF | ![]() View/Open |
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