Session: 27-04 Methods and Modeling in Rotordynamics

Paper Number: 127941

127941 - Computationally Lightweight Method for Campbell Diagram Plotting in High-Speed Electric Machines 

Campbell diagram is calculated to identify a rotating object's critical speeds. The Campbell diagram is formed by the calculation of the supported natural frequencies in a defined speed range. It is an important step when designing rotating machines, e.g., a high-speed electric motor that can be sensitive to rotordynamics. However, the typical calculation procedure involves calculation at pre-defined speeds and then curve fitting between calculation points. 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 is proposed where near the critical speeds the points are calculated, i.e., instead of using a fixed calculation interval, the predictive-based methodology is proposed. Cut-off criteria are defined when the prediction and calculated value are lower than a threshold value.  By this, the speed-dependent variables can be included computationally efficiently and have high accuracy with a low amount of calculation points. 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 a case study is shown, and the computational cost is compared.

Presenting Author: Emil Kurvinen University of Oulu

Presenting Author Biography: Emil Kurvinen was born in 1988. He received M. Sc. (Tech.) and D. Sc. (Tech.) degrees in mechanical engineering from Lappeenranta University of Technology (LUT) in 2012 and 2016, respectively. In 2014-2015 he visited University of Virginia as a Fulbright visiting scholar researching active magnetic bearings. In 2016 to 2017 he served as a engineer, structural dynamics in FS Dynamics Finland Ltd. In 2017-2021 he was as a postdoctoral researcher at LUT. Currently he is Machine Design professor in University of Oulu. He has a solid background in machine design, especially in the design, simulation, analysing of rotating machines. His research interests are rotating machines, especially high-speed machines, digital twins and integrating industrial engineering and management to technology.

Authors:

Emil Kurvinen University of Oulu
Qasim Khadim University of Oulu
Eero Ikäheimo University of Oulu
Tuhin Choudhury Lappeenranta-Lahti University of Technology LUT
Rafal Jastrzebski University of Turku