Design and Comprehensive Analyzes of a Highly Efficient TLA-Type Synchronous Reluctance Machine including the Effects of Conductor per Slot and Wire Size
Ali Ozdil and
Yunus Uzun ()
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Ali Ozdil: Department of Electrical and Electronics Engineering, Kirsehir Ahi Evran University, Kirsehir 40100, Turkey
Yunus Uzun: Department of Electrical and Electronics Engineering, Aksaray University, Aksaray 68135, Turkey
Energies, 2023, vol. 16, issue 2, 1-17
Abstract:
Consuming energy sources and greenhouse gas emission are one of the most prominent problems of the latest century. Most of the energy consumed globally and carbon dioxide emissions originate from electric motors used in the industry. Therefore, researchers have recently focused on the production of highly efficient, eco-friendly, and low-priced machines: Synchronous Reluctance Machines. In this study, the design and comprehensive Finite Element Analysis of a TLA-SynRM including the effects of the number of conductors per slot and wire diameter directly affecting stator slot fill factor and crucial for obtaining more realistic results from experiments has been initially carried out. Moreover, power factor, saliency ratio, and efficiency of the novel SynRM are enhanced by utilizing a fine-tuning process based on d - and q -axes flux paths. Additionally, the layer structure of the initial design is changed to a double-layer structure to improve the performance of the machine in the fine-tuning process. In the final step of this study, the machine has been manufactured, and experiments have been accomplished. This study has concluded that the novel SynRM have low torque ripple, high power factor, saliency ratio, and efficiency, whose value is within the range of IE5 efficiency class.
Keywords: conductor per slot and wire size effects; fine tuning; high efficiency; TLA-SynRMs (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:2:p:724-:d:1028595
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