Abstract
Energy Harvesting Devices (EHD) have been widely used to generate electrical power from the bio-kinetic energy of human body movement. A novel Piezoelectric Flex Transducer (PFT) based on the Cymbal device has been proposed by Daniels et al. (2013) for the purpose of energy harvesting. To further improve the efficiency of the device, optimal design of the PFT for maximum output power subject to stress and displacement constraints is carried out in this paper. Sequential Quadratic Programming (SQP) on metamodels generated with Genetic Programming from a 140-point optimal Latin hypercube design of experiments is used in the optimization. Finally, the optimal design is validated by finite element simulations. The simulations show that the magnitude of the electrical power generated from this optimal PFT harvesting device can be up to 6.5 mw when a safety design factor of 2.0 is applied.
| Original language | English |
|---|---|
| Pages (from-to) | 2528-2538 |
| Number of pages | 11 |
| Journal | Journal of Intelligent Material Systems and Structures |
| Volume | 28 |
| Issue number | 18 |
| Early online date | 1 Feb 2017 |
| DOIs | |
| Publication status | Published - 1 Nov 2017 |
Keywords
- Energy harvesting
- piezoelectric
- parametric optimization
- design of experiments
- metamodel
Profiles
-
Dianzi Liu
- School of Engineering, Mathematics and Physics - Associate Professor in Solid Mechanics & Structural Optimization
- Materials, Manufacturing & Process Modelling - Member
- Sustainable Energy - Member
Person: Research Group Member, Academic, Teaching & Research