Analytical Model and Feasibility Assessment of a Synchronous Reluctance Tubular Machine with an Additively Manufactured Mover
Giada Sala,
Nicola Giannotta,
Mattia Vogni,
Claudio Bianchini () and
Fabio Immovilli
Additional contact information
Giada Sala: DIEF, University of Modena and Reggio Emilia, 41121 Modena, Italy
Nicola Giannotta: DIEF, University of Modena and Reggio Emilia, 41121 Modena, Italy
Mattia Vogni: DIEF, University of Modena and Reggio Emilia, 41121 Modena, Italy
Claudio Bianchini: DIEF, University of Modena and Reggio Emilia, 41121 Modena, Italy
Fabio Immovilli: DISMI, University of Modena and Reggio Emilia, 42122 Reggio Emilia, Italy
Energies, 2025, vol. 18, issue 15, 1-20
Abstract:
This paper presents the analytical model, feasibility assessment, and testing of a novel synchronous reluctance tubular machine, whose mover is manufactured using additive techniques. This approach enables the maximization of the machine’s saliency. The analytical model traditionally used for rotating machines was adapted to match the geometric characteristics of the innovative tubular design proposed in this work. The analytical results were validated through 2D finite element analysis (FEA). Subsequently, several mock-ups were 3D-printed using iron metal powder to evaluate the manufacturing feasibility of the proposed machine. Finally, the machine was tested to verify the accuracy of the analytical model.
Keywords: tubular linear machines; synchronous reluctance machines; additive manufacturing; analytical modeling (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: 2025
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.mdpi.com/1996-1073/18/15/3918/pdf (application/pdf)
https://www.mdpi.com/1996-1073/18/15/3918/ (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:18:y:2025:i:15:p:3918-:d:1707647
Access Statistics for this article
Energies is currently edited by Ms. Agatha Cao
More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().