Iron Loss Calculation Methods for Numerical Analysis of 3D-Printed Rotating Machines: A Review

Tamás Orosz (), Tamás Horváth, Balázs Tóth, Miklós Kuczmann and Bence Kocsis
Additional contact information
Tamás Orosz: Department of Power Electronics and Electric Drives, Széchenyi István University, 9026 Győr, Hungary
Tamás Horváth: Department of Power Electronics and Electric Drives, Széchenyi István University, 9026 Győr, Hungary
Balázs Tóth: Institute of Applied Mechanics, University of Miskolc, 3515 Miskolc, Hungary
Miklós Kuczmann: Department of Power Electronics and Electric Drives, Széchenyi István University, 9026 Győr, Hungary
Bence Kocsis: Department of Material Science, Széchenyi István University, 9026 Győr, Hungary

Energies, 2023, vol. 16, issue 18, 1-27

Abstract: Three-dimensional printing is a promising technology that offers increased freedom to create topologically optimised electrical machine designs with a much smaller layer thickness achievable with the current, laminated steel-sheet-based technology. These composite materials have promising magnetic behaviour, which can be competitive with the current magnetic materials. Accurately calculating the iron losses is challenging due to magnetic steels’ highly nonlinear hysteretic behaviour. Many numerical methodologies have been developed and applied in FEM-based simulations from the first introduced Steinmetz formulae. However, these old curve-fitting-based iron loss models are still actively used in modern finite-element solvers due to their simplicity and high computational demand for more-accurate mathematical methods, such as Preisach- or Jiles–Atherton-model-based calculations. In the case of 3D-printed electrical machines, where the printed material can have a strongly anisotropic behaviour and it is hard to define a standardised measurement, the applicability of the curve-fitting-based iron loss methodologies is limited. The following paper proposes an overview of the current problems and solutions for iron loss calculation and measurement methodologies and discusses their applicability in designing and optimising 3D-printed electrical machines.

Keywords: electric machines; additive manufacturing; soft magnetic materials; Preisach method; iron losses; FEM (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
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/16/18/6547/pdf (application/pdf)
https://www.mdpi.com/1996-1073/16/18/6547/ (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:16:y:2023:i:18:p:6547-:d:1237968

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 ().