LAPSE:2023.11898v1
Published Article
LAPSE:2023.11898v1
Design and Thermal Analysis of Linear Hybrid Excited Flux Switching Machine Using Ferrite Magnets
February 28, 2023
Abstract
This paper presents a novel linear hybrid excited flux switching permanent magnet machine (LHEFSPMM) with a crooked tooth modular stator. Conventional stators are made up of a pure iron core, which results in high manufacturing costs and increased iron core losses. Using a modular stator lowers the iron volume by up to 18% compared to a conventional stator, which minimizes the core losses and reduces the machine’s overall cost. A crooked angle is introduced to improve the flux linkage between the stator pole and the mover slot. Ferrite magnets are used with parallel magnetization to reduce the cost of the machine. Two-dimensional FEA is performed to analyze and evaluate various performance parameters of the proposed machine. Geometric optimization is used to optimize the split ratio (S.R) and winding slot area (Slotarea). Genetic algorithm (GA) is applied and is used to optimize stator tooth width (STW), space between the modules (SS), crooked angle (α), and starting angle (θ). The proposed model has a high thrust density (306.61 kN/m3), lower detent force (8.4 N), and a simpler design with higher efficiency (86%). The linear modular structure makes it a good candidate for railway transportation and electric trains. Thermal analysis of the machine is performed by FEA and then the results are validated by an LPMEC model. Overall, a very good agreement is observed between both the analyses, and relative percentage error of less than 3% is achieved, which is considerable since the FEA is in 3D while 2D temperature flow is considered in the LPMEC model.
Keywords
crooked tooth, ferrite magnet, flux switching machine, Genetic Algorithm, linear machine, LPMEC model, modular stator, thermal analysis
Suggested Citation
Jan HU, Khan F, Ullah B, Qasim M, Milyani AH, Azhari AA. Design and Thermal Analysis of Linear Hybrid Excited Flux Switching Machine Using Ferrite Magnets. (2023). LAPSE:2023.11898v1
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]
Milyani AH: Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia [ORCID]
Azhari AA: Computer Information Technology, The Applied College, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Journal Name
Energies
Volume
15
Issue
14
First Page
5275
Year
2022
Publication Date
2022-07-21
ISSN
1996-1073
Version Comments
Original Submission
Other Meta
PII: en15145275, Publication Type: Journal Article
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LAPSE:2023.11898v1
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https://doi.org/10.3390/en15145275
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