Abstract
In this study, the multi-objective optimal design of functionally graded material flywheels is obtained using the non-dominated sorting genetic algorithm-II. The variations in temperature along the flywheel radius due to the operating conditions and environmental changes are taken into consideration in design optimization. Variations in the elastic and thermal properties of materials with temperature are taken into consideration for the first time, to the best of the authors’ knowledge. The thermoelastic equations of motion and the heat equation are derived and then solved by the generalized differential quadrature method. Results for temperature variation, radial displacement and von Mises stress are compared with the results of finite element analysis, and very good agreement is observed. Designs with optimal cross-sectional geometry and material distribution that give minimum mass and maximum kinetic energy are obtained.
| Original language | English |
|---|---|
| Pages (from-to) | 1682-1699 |
| Number of pages | 18 |
| Journal | Engineering Optimization |
| Volume | 52 |
| Issue number | 10 |
| DOIs | |
| Publication status | Published - 2 Oct 2020 |
Bibliographical note
Publisher Copyright:© 2019 Informa UK Limited, trading as Taylor & Francis Group.
Funding
This research has been supported by The Scientific and Technological Research Council of Turkey (Turkish: Türkiye Bilimsel ve Teknolojik Arastirma Kurumu (TUBITAK)) [Project number: 115M436].
| Funders | Funder number |
|---|---|
| Teknolojik Arastirma Kurumu | |
| Türkiye Bilimsel ve Teknolojik Araştirma Kurumu | 115M436 |
Keywords
- differential quadrature
- flywheel
- Functionally graded materials
- genetic algorithm
- thermoelastic analysis