Design and multi-objective optimization of fiber-reinforced polymer composite flywheel rotors

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Mittelstedt, M.; Hansen, C.; Mertiny, P.: Design and multi-objective optimization of fiber-reinforced polymer composite flywheel rotors. In: Applied Sciences 8 (2018), Nr. 8, 1256. DOI: https://doi.org/10.3390/app8081256

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To cite the version in the repository, please use this identifier: https://doi.org/10.15488/3713

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Sum total of downloads: 278




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Abstract: 
A multi-objective optimization strategy to find optimal designs of composite multi-rim flywheel rotors is presented. Flywheel energy storage systems have been expanding into applications such as rail and automotive transportation, where the construction volume is limited. Common flywheel rotor optimization approaches for these applications are single-objective, aiming to increase the stored energy or stored energy density. The proposed multi-objective optimization offers more information for decision-makers optimizing three objectives separately: stored energy, cost and productivity. A novel approach to model the manufacturing of multi-rim composite rotors facilitates the consideration of manufacturing cost and time within the optimization. An analytical stress calculation for multi-rim rotors is used, which also takes interference fits and residual stresses into account. Constrained by a failure prediction based on the Maximum Strength, Maximum Strain and Tsai-Wu criterion, the discrete and nonlinear optimization was solved. A hybrid optimization strategy is presented that combines a genetic algorithm with a local improvement executed by a sequential quadratic program. The problem was solved for two rotor geometries used for light rail transit applications showing similar design results as in industry.
License of this version: CC BY 4.0 Unported
Document Type: Article
Publishing status: publishedVersion
Issue Date: 2018
Appears in Collections:Fakultät für Maschinenbau

distribution of downloads over the selected time period:

downloads by country:

pos. country downloads
total perc.
1 image of flag of France France 122 43.88%
2 image of flag of Canada Canada 53 19.06%
3 image of flag of Germany Germany 42 15.11%
4 image of flag of United States United States 38 13.67%
5 image of flag of No geo information available No geo information available 5 1.80%
6 image of flag of Turkey Turkey 5 1.80%
7 image of flag of Italy Italy 3 1.08%
8 image of flag of China China 3 1.08%
9 image of flag of Estonia Estonia 2 0.72%
10 image of flag of Brazil Brazil 1 0.36%
    other countries 4 1.44%

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