A4 Refereed article in a conference publication
Computationally Lightweight Method for Campbell Diagram Plotting in High-Speed Electric Machines
Authors: Kurvinen, Emil; Khadim, Qasim; Ikäheimo, Eero; Choudhury, Tuhin; Jastrzebski, Rafal
Editors: N/A
Conference name: Turbo Expo: Turbomachinery Technical Conference and Exposition
Publisher: AMER SOC MECHANICAL ENGINEERS
Publishing place: NEW YORK
Publication year: 2024
Book title : Proceedings of the ASME Turbo Expo 2024: Turbomachinery Technical Conference and Exposition. Volume 10B: Structures and Dynamics — Fatigue, Fracture, and Life Prediction; Probabilistic Methods; Rotordynamics; Structural Mechanics and Vibration
Article number: V10BT26A015
Number of pages: 6
ISBN: 978-0-7918-8803-2
DOI: https://doi.org/10.1115/GT2024-127941
Web address : https://doi.org/10.1115/GT2024-127941
Self-archived copy’s web address: https://research.utu.fi/converis/portal/detail/Publication/458903439
Campbell diagram is plotted from calculation results to identify a rotating object's critical speeds. The Campbell diagram is formed by calculating the supported natural frequencies in a defined operation speed range. It is an important step when designing rotating machines, e.g., an integrated high-speed electric motor that can be sensitive to the rotor's dynamical behavior. Currently, minimizing unnecessary calculation points is important for rapid design iterations and utilization of physics-based models with artificial intelligence. In cases where large variants of rotor geometry or using high-fidelity models, the calculation burden becomes high. In the research, a methodology based on a minimum number of calculation points and a second-order fitting equation is proposed, i.e., instead of using a high number of fixed calculation intervals, a three-point calculation methodology is proposed. The proposed methodology can be applied with neural network-based methods or implemented with high-fidelity models such as solid element models where the physics-based models can be used to create sensitivity to model parameters and study their influence with the traditional rotordynamics Campbell diagram tool. In the results, a comparison of two case studies is shown, and the computational cost is compared.
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