Development of a systematic multidisciplinary design process for high-speed electrical machines in turbomachinery applications
Narsakka, Juuso (2026-10-16)
Väitöskirja
16.10.2026
Lappeenranta-Lahti University of Technology LUT
Acta Universitatis Lappeenrantaensis
School of Energy Systems
School of Energy Systems, Konetekniikka
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In reference to IEEE copyrighted material which is used with permission in this thesis, the IEEE does not endorse any of Lappeenranta-Lahti University of Technology LUT's products or services. Internal or personal use of this material is permitted. If interested in reprinting/republishing IEEE copyrighted material for advertising or promotional purposes or for creating new collective works for resale or redistribution, please go to http://www.ieee.org/publications_ standards/publications/rights/rights_link.html to learn how to obtain a License from RightsLink.
Julkaisun pysyvä osoite on
https://urn.fi/URN:ISBN:978-952-412-537-6
https://urn.fi/URN:ISBN:978-952-412-537-6
Kuvaus
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Tiivistelmä
The ongoing transformation of the energy sector requires the development of new technologies and technical improvements in energy conversion machinery, where electric machines are key components in the conversion between mechanical and electrical energy. In this regard, high-speed electric machines offer advantages compared to conventional gridfrequency machines due to their potentially higher power density and efficiency, which can lead to reduced material use and lower primary energy consumption. However, the holistic and multidisciplinary design requirements of high-speed machines often result in long and complex design processes.
This dissertation develops design and analysis methods for high-speed electric machine rotor-bearing systems to enable their integration into a holistic and systematic turbomachine design process. The work focuses on the mechanical design of the induction machine active part. For the bearing system, a multidisciplinary design method for axial active magnetic bearing dimensioning is developed. Both design methodologies are formulated for integrated and automated computation within turbomachine design calculations. The work also presents an analysis method for drop-down fault situations, enabling the evaluation of potential design variants under nonlinear dynamic conditions.
The design methodology is fully analytical and validated using finite element analyses for the mechanical, electrical, and thermal design steps. Experimental verification using two high-speed drivelines for design, control, fault, and fatigue-life evaluation is ongoing.
The findings highlight the benefits of holistic integrated turbomachine design. The proposed methods enable the systematic evaluation of a wide range of design points rather than only a few design alternatives, allowing optimal machine-level solutions to be identified while reducing unnecessary and time-consuming component-level design optimization.
This dissertation develops design and analysis methods for high-speed electric machine rotor-bearing systems to enable their integration into a holistic and systematic turbomachine design process. The work focuses on the mechanical design of the induction machine active part. For the bearing system, a multidisciplinary design method for axial active magnetic bearing dimensioning is developed. Both design methodologies are formulated for integrated and automated computation within turbomachine design calculations. The work also presents an analysis method for drop-down fault situations, enabling the evaluation of potential design variants under nonlinear dynamic conditions.
The design methodology is fully analytical and validated using finite element analyses for the mechanical, electrical, and thermal design steps. Experimental verification using two high-speed drivelines for design, control, fault, and fatigue-life evaluation is ongoing.
The findings highlight the benefits of holistic integrated turbomachine design. The proposed methods enable the systematic evaluation of a wide range of design points rather than only a few design alternatives, allowing optimal machine-level solutions to be identified while reducing unnecessary and time-consuming component-level design optimization.
Kokoelmat
- Väitöskirjat [1232]