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Article

Enhanced Flexible Algorithm for the Optimization of Slot Filling Factors in Electrical Machines

1
Technische Hochschule Nürnberg, Institut ELSYS, 90489 Nuremberg, Germany
2
Dipartimento di Ingegneria, University of Palermo, viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy
3
Department of electrical and Information Engineering (DIEI), University of Cassino and South Lazio, via. G. Di Biasio, 43, 03043 Cassino, Italy
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in: Caruso, M.; Di Tommaso, A.O.; Miceli, R.; Nevoloso, C. Algorithmic Approach for Slot Filling Factors Determination in Electrical Machines. In Proceedings of the 2018 7th International Conference on Renewable Energy Research and Applications (ICRERA), Paris, France, 14–17 October 2018; 1489–1494.
Energies 2020, 13(5), 1041; https://doi.org/10.3390/en13051041
Received: 14 January 2020 / Revised: 17 February 2020 / Accepted: 24 February 2020 / Published: 26 February 2020
(This article belongs to the Special Issue Advances in Rotating Electric Machines)
The continuous development in the field of industrial automation and electric mobility has led to the need for more efficient electrical machines with a high power density. The improvement of electrical machines’ slot filling factors is one of the measures to satisfy these requirements. In recent years, this topic has aroused greater interest in the industrial sector, since the evolution of the winding technological manufacturing processes allows an economically sustainable realization of ordered winding arrangements, rather than random ones. Moreover, the manufacture of electrical machines’ windings must be preceded by an accurate design phase in which it is possible to evaluate the maximum slot filling factor obtainable for a given wire shape and for its dimensions. For this purpose, this paper presents an algorithmic approach for the evaluation of maximum slot filling factors in electrical machines under an ideal geometric premise. In particular, this algorithm has a greater degree of flexibility with respect to the algorithm approaches found in the literature, since the study has been extended to round, rectangular and hexagonal wire sections. Furthermore, the slot filling factor calculation was carried out both for standard and non-standard slots. The algorithmic approach proposed can be considered as an additional useful tool for the fast design of electrical machine windings. View Full-Text
Keywords: electrical motors; sot filling factor; optimization algorithm; windings; magnetic wire; filling factor optimization electrical motors; sot filling factor; optimization algorithm; windings; magnetic wire; filling factor optimization
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MDPI and ACS Style

Dietz, A.; Di Tommaso, A.O.; Marignetti, F.; Miceli, R.; Nevoloso, C. Enhanced Flexible Algorithm for the Optimization of Slot Filling Factors in Electrical Machines. Energies 2020, 13, 1041. https://doi.org/10.3390/en13051041

AMA Style

Dietz A, Di Tommaso AO, Marignetti F, Miceli R, Nevoloso C. Enhanced Flexible Algorithm for the Optimization of Slot Filling Factors in Electrical Machines. Energies. 2020; 13(5):1041. https://doi.org/10.3390/en13051041

Chicago/Turabian Style

Dietz, Armin; Di Tommaso, Antonino O.; Marignetti, Fabrizio; Miceli, Rosario; Nevoloso, Claudio. 2020. "Enhanced Flexible Algorithm for the Optimization of Slot Filling Factors in Electrical Machines" Energies 13, no. 5: 1041. https://doi.org/10.3390/en13051041

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