LAPSE:2023.17039
Published Article
LAPSE:2023.17039
Design and Thermal Modeling of Modular Hybrid Excited Double-Sided Linear Flux Switching Machine
Himayat Ullah Jan, Faisal Khan, Basharat Ullah, Muhammad Qasim, Malak Adnan Khan, Ghulam Hafeez, Fahad Raddah Albogamy
March 6, 2023
Abstract
This paper presents a Hybrid Excited Double-Sided Linear Flux Switching Machine (HEDSLFSM) with a crooked tooth modular stator. Generally, the conventional stators are made of a full-length iron core, increasing manufacturing costs and iron losses. Higher iron losses result in lower efficiency and lower overall performance. A U-shaped modular stator with a crooked tooth is used to lower iron consumption and increase the machine’s efficiency. Ferrite magnets are used to replace rare earth magnets, which also reduces the machine cost. Two DC excitation windings are used above and below the ferrite magnet to reduce the PM volume. 2D electromagnetic performance analysis is done to observe the key performance indices. Geometric optimization is used to optimize the Split Ratio (S.R), DC winding slot area (DCw), and AC winding slot area (ACw). Stator Tooth Width (STW), space between the modules (S.S.), and crooked angle (α) are optimized through JMAG in-built Genetic Algorithm (G.A.) optimization. High thrust force density and modular stator make it a good candidate for long-stroke applications like railway transits. The thermal analysis of the machine is performed by FEA analysis and then validated by 2D LPMC (Lumped Parametric Magnetic Equivalent Circuit) model. Both analyses are compared, and an error percentage of less than 4% is achieved.
Keywords
efficiency, FEA, ferrite magnet, genetic optimization, LPMC model, modular stator
Suggested Citation
Jan HU, Khan F, Ullah B, Qasim M, Khan MA, Hafeez G, Albogamy FR. Design and Thermal Modeling of Modular Hybrid Excited Double-Sided Linear Flux Switching Machine. (2023). LAPSE:2023.17039
Author Affiliations
Jan HU: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad 22060, Pakistan [ORCID]
Khan F: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad 22060, Pakistan [ORCID]
Ullah B: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad 22060, Pakistan [ORCID]
Qasim M: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad 22060, Pakistan [ORCID]
Khan MA: Department of Electronics Engineering, University of Engineering and Technology Peshawar, Abbottabad 22060, Pakistan
Hafeez G: Open AI Lab, National Yunlin University of Science and Technology, Douliou 64002, Taiwan; Centre of Renewable Energy, Government Advance Technical Training Centre, Hayatabad, Peshawar 25100, Pakistan [ORCID]
Albogamy FR: Computer Sciences Program, Turabah University College, Taif University, P.O. Box 11099, Taif 21944, Saudi Arabia
Journal Name
Energies
Volume
14
Issue
24
First Page
8511
Year
2021
Publication Date
2021-12-17
ISSN
1996-1073
Version Comments
Original Submission
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PII: en14248511, Publication Type: Journal Article
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LAPSE:2023.17039
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https://doi.org/10.3390/en14248511
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