Maximum energy conversion from human motion using piezoelectric flex transducer: A multi-level surrogate modeling strategy

Author:

Luo Liheng1,Liu Dianzi23,Zhu Meiling4,Liu Yijie5,Ye Jianqiao1ORCID

Affiliation:

1. Department of Engineering, Lancaster University, Lancaster, UK

2. Faculty of Science, University of East Anglia, Norwich, UK

3. College of Mechanical Engineering, Xi’an University of Science and Technology, Xi’an, China

4. College of Engineering, Mathematics and Physical Sciences, University of Exeter, Exeter, UK

5. Department of Engineering Mechanics, Guangzhou University, Guangzhou, P.R. China

Abstract

Conventional engineering design optimization requires a large amount of expensive experimental tests from prototypes or computer simulations, which may result in an inefficient and unaffordable design process. In order to overcome these disadvantages, a surrogate model may be used to replace the prototype tests. To construct a surrogate model of sufficient accuracy from limited number of tests/simulations, a multi-level surrogate modeling strategy is introduced in this article. First, a chosen number of points determined by optimal Latin Hypercube Design of Experiments are used to generate global-level surrogate models with genetic programming and the fitness landscape can be explored by genetic algorithms for near-optimal solutions. Local-level surrogate models are constructed then from the extended-optimal Latin Hypercube samples in the vicinity of global optimum on the basis of a much smaller number of chosen points. As a result, an improved optimal design is achieved. The efficiency of this strategy is demonstrated by the parametric optimization design of a piezoelectric flex transducer energy harvester. The optimal design is verified by finite element simulations and the results show that the proposed multi-level surrogate modeling strategy has the advantages of faster convergence and more efficiency in comparison with the conventional single-single level surrogate modeling technique.

Publisher

SAGE Publications

Subject

Mechanical Engineering,General Materials Science

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