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Design of Piezoelectric Energy harvesting Devices Using Topology Optimization Method

Grant number: 12/14576-9
Support type:Scholarships in Brazil - Post-Doctorate
Effective date (Start): February 01, 2013
Effective date (End): November 30, 2016
Field of knowledge:Engineering - Mechanical Engineering - Mechanical Engineering Design
Principal researcher:Emílio Carlos Nelli Silva
Grantee:Cesar Yukishigue Kiyono
Home Institution: Escola Politécnica (EP). Universidade de São Paulo (USP). São Paulo , SP, Brazil
Associated scholarship(s):15/06334-3 - A new piezoelectric higher-order shell element to design energy harvesters by using topology optimization, BE.EP.PD

Abstract

Energy harvesting devices are structures subjected to dynamic loads (force or vibration) that convert mechanical energy into electrical energy. From the materials capable of converting mechanical into electrical energy, piezoelectric materials are among the most promising in this area. The design of these devices are complex and may be obtained through topology optimization method (TOM), which combines optimization and finite element algorithms to design structures with complex topologies. In this work, the objective is to maximize the electric energy generated by mechanical strains at piezoelectric material areas, which are coupled to the mechanical structures. The research of energy harvesting devices operating by dynamic response comprehends the optimized design, simulation, manufacturing, and experimental characterization of these devices. The precise acquisition of piezoelectric material properties is essential to the design of energy harvesting devices, and also to a wide area where piezoelectric materials are used, such as sensors and actuators. Thus, this research also involves the characterization of real and complex variables of the elastic, piezoelectric, and dielectric properties of piezoelectric materials using an iterative optimization algorithm process, where the objective is to minimize the difference between the experimental and numerical electric impedances. Therefore, this work intend to perform the complete cycle of the optimized design of piezoelectric energy harvesting devices, including the experimental characterization to validate the methodology, together with the development of a methodology to characterize the piezoelectric properties.

Scientific publications (6)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
KIYONO, C. Y.; SILVA, E. C. N.; REDDY, J. N. A novel fiber optimization method based on normal distribution function with continuously varying fiber path. COMPOSITE STRUCTURES, v. 160, p. 503-515, JAN 15 2017. Web of Science Citations: 24.
KIYONO, C. Y.; VATANABE, S. L.; SILVA, E. C. N.; REDDY, J. N. A new multi-p-norm formulation approach for stress-based topology optimization design. COMPOSITE STRUCTURES, v. 156, p. 10-19, NOV 15 2016. Web of Science Citations: 12.
KIYONO, C. Y.; SILVA, E. C. N.; REDDY, J. N. Optimal design of laminated piezocomposite energy harvesting devices considering stress constraints. INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING, v. 105, n. 12, p. 883-914, MAR 23 2016. Web of Science Citations: 6.
KIYONO, C. Y.; PEREZ, N.; SILVA, E. C. N. Determination of full piezoelectric complex parameters using gradient-based optimization algorithm. Smart Materials and Structures, v. 25, n. 2 FEB 2016. Web of Science Citations: 8.
CASTRO, D. A.; KIYONO, C. Y.; SILVA, E. C. N. Design of radiative enclosures by using topology optimization. INTERNATIONAL JOURNAL OF HEAT AND MASS TRANSFER, v. 88, p. 880-890, SEP 2015. Web of Science Citations: 4.
MOTTA MELLO, LUIS AUGUSTO; KIYONO, CESAR YUKISHIGUE; NAKASONE, PAULO HENRIQUE; NELLI SILVA, EMILIO CARLOS. Design of quasi-static piezoelectric plate based transducers by using topology optimization. Smart Materials and Structures, v. 23, n. 2 FEB 2014. Web of Science Citations: 4.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.