LAPSE:2023.21816
Published Article

LAPSE:2023.21816
Enhanced Flexible Algorithm for the Optimization of Slot Filling Factors in Electrical Machines
March 23, 2023
Abstract
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.
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.
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Keywords
electrical motors, filling factor optimization, magnetic wire, optimization algorithm, sot filling factor, windings
Subject
Suggested Citation
Dietz A, Di Tommaso AO, Marignetti F, Miceli R, Nevoloso C. Enhanced Flexible Algorithm for the Optimization of Slot Filling Factors in Electrical Machines. (2023). LAPSE:2023.21816
Author Affiliations
Dietz A: Technische Hochschule Nürnberg, Institut ELSYS, 90489 Nuremberg, Germany
Di Tommaso AO: Dipartimento di Ingegneria, University of Palermo, viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy [ORCID]
Marignetti F: Department of electrical and Information Engineering (DIEI), University of Cassino and South Lazio, via. G. Di Biasio, 43, 03043 Cassino, Italy [ORCID]
Miceli R: Dipartimento di Ingegneria, University of Palermo, viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy [ORCID]
Nevoloso C: Dipartimento di Ingegneria, University of Palermo, viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy [ORCID]
Di Tommaso AO: Dipartimento di Ingegneria, University of Palermo, viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy [ORCID]
Marignetti F: Department of electrical and Information Engineering (DIEI), University of Cassino and South Lazio, via. G. Di Biasio, 43, 03043 Cassino, Italy [ORCID]
Miceli R: Dipartimento di Ingegneria, University of Palermo, viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy [ORCID]
Nevoloso C: Dipartimento di Ingegneria, University of Palermo, viale delle Scienze, Parco d’Orleans, 90128 Palermo, Italy [ORCID]
Journal Name
Energies
Volume
13
Issue
5
Article Number
E1041
Year
2020
Publication Date
2020-02-26
ISSN
1996-1073
Version Comments
Original Submission
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PII: en13051041, Publication Type: Journal Article
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LAPSE:2023.21816
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https://doi.org/10.3390/en13051041
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Mar 23, 2023
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