Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors
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 optim...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-07-01
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| Series: | Applied Sciences |
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| Online Access: | http://www.mdpi.com/2076-3417/8/8/1256 |
| _version_ | 1818850020573577216 |
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| author | Marvin Mittelstedt Christian Hansen Pierre Mertiny |
| author_facet | Marvin Mittelstedt Christian Hansen Pierre Mertiny |
| author_sort | Marvin Mittelstedt |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-19T06:42:29Z |
| format | Article |
| id | doaj.art-b6c0b6ea3b5c4a9a8043eb9482a8a16e |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-12-19T06:42:29Z |
| publishDate | 2018-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-b6c0b6ea3b5c4a9a8043eb9482a8a16e2022-12-21T20:32:00ZengMDPI AGApplied Sciences2076-34172018-07-0188125610.3390/app8081256app8081256Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel RotorsMarvin Mittelstedt0Christian Hansen1Pierre Mertiny2Institute of Mechatronic Systems, Leibniz University of Hanover, Appelstraße 11a, 30167 Hanover, GermanyInstitute of Mechatronic Systems, Leibniz University of Hanover, Appelstraße 11a, 30167 Hanover, GermanyDepartment of Mechanical Engineering, University of Alberta, 10-203 Donadeo Innovation Centre for Engineering, 9211-116 Street NW, Edmonton, AB T6G 1H9, CanadaA 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.http://www.mdpi.com/2076-3417/8/8/1256flywheel energy storagecomposite rotormanufacturingmulti-objective optimization |
| spellingShingle | Marvin Mittelstedt Christian Hansen Pierre Mertiny Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors Applied Sciences flywheel energy storage composite rotor manufacturing multi-objective optimization |
| title | Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors |
| title_full | Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors |
| title_fullStr | Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors |
| title_full_unstemmed | Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors |
| title_short | Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors |
| title_sort | design and multi objective optimization of fiber reinforced polymer composite flywheel rotors |
| topic | flywheel energy storage composite rotor manufacturing multi-objective optimization |
| url | http://www.mdpi.com/2076-3417/8/8/1256 |
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