Next Article in Journal
Turning Gait Planning Method for Humanoid Robots
Previous Article in Journal
Quantitative Optical Coherence Elastography for Robust Stiffness Assessment
Article Menu
Issue 8 (August) cover image

Export Article

Open AccessArticle
Appl. Sci. 2018, 8(8), 1256;

Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors

Institute of Mechatronic Systems, Leibniz University of Hanover, Appelstraße 11a, 30167 Hanover, Germany
Department of Mechanical Engineering, University of Alberta, 10-203 Donadeo Innovation Centre for Engineering, 9211-116 Street NW, Edmonton, AB T6G 1H9, Canada
Author to whom correspondence should be addressed.
Received: 23 June 2018 / Revised: 23 July 2018 / Accepted: 24 July 2018 / Published: 30 July 2018
(This article belongs to the Section Mechanical Engineering)
Full-Text   |   PDF [1989 KB, uploaded 30 July 2018]   |  


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. View Full-Text
Keywords: flywheel energy storage; composite rotor; manufacturing; multi-objective optimization flywheel energy storage; composite rotor; manufacturing; multi-objective optimization

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

Share & Cite This Article

MDPI and ACS Style

Mittelstedt, M.; Hansen, C.; Mertiny, P. Design and Multi-Objective Optimization of Fiber-Reinforced Polymer Composite Flywheel Rotors. Appl. Sci. 2018, 8, 1256.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics



[Return to top]
Appl. Sci. EISSN 2076-3417 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top