Recovery of transversely-isotropic elastic material parameters in induction motor rotors
Abstract We propose numerical algorithms for recovering parameters in eigenvalue problems for linear elasticity of transversely isotropic materials. Specifically, the algorithms are used to recover the elastic constants of a rotor core. Numerical tests show that in the noiseless setup, two pairs of bending modes are sufficient for recovering one to four parameters accurately. To recover all five parameters that govern the elastic properties of induction motors accurately, we require three pairs of bending modes and one torsional mode. Moreover, we study the stability of the inversion method against multiplicative noise; for tests in which the data contained multiplicative noise of at most 1%, we find that all parameters can be recovered with an error less than 10%.
Authors
- Andreas Norbert Rupp (ORCID: https://orcid.org/0000-0001-5527-7187)
- Timo Holopainen (ORCID: https://orcid.org/0000-0003-1417-6157)
- Hanz Martin Cheng (ORCID: https://orcid.org/0000-0002-2481-4995)
- Ville-Petteri Manninen
- Tapio Helin
- Samu Sorvari
- Juha Jokinen
Institutions
- ABB (Finland) (FI)
- Lappeenranta-Lahti University of Technology (FI)
- Saarland University (DE)
- Aalto University (FI)
Publication Details
- Journal
- Journal of Mathematics in Industry
- Published
- 2025-11-03
- DOI
- https://doi.org/10.1186/s13362-025-00179-8
- Primary Topic
- Model Reduction and Neural Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Business Finland