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Published in: Structural and Multidisciplinary Optimization 1/2013

01-07-2013 | Research Paper

Topology optimization of a cantilevered piezoelectric energy harvester using stress norm constraints

Authors: Fabian Wein, Manfred Kaltenbacher, Michael Stingl

Published in: Structural and Multidisciplinary Optimization | Issue 1/2013

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Abstract

Vibrational piezoelectric energy harvesters are devices which convert ambient vibrational energy into electric energy. Here we focus on the common cantilever type in which an elastic beam is sandwiched between two piezoelectric plates. In order to maximize the electric power for a given sinusoidal vibrational excitation, we perform topology optimization of the elastic beam and tip mass by means of the SIMP approach, leaving the piezoelectric plates solid. We are interested in the first and especially second resonance mode. Homogenizing the piezoelectric strain distribution is a common indirect approach increasing the electric performance. The large design space of the topology optimization approach and the linear physical model also allows the maximization of electric performance by maximizing peak bending, resulting in practically infeasible designs. To avoid such problems, we formulate dynamic piezoelectric stress constraints. The obtained result is based on a mechanism which differs significantly from the common designs reported in literature.

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Appendix
Available only for authorised users
Footnotes
1
See the landmark papers Bendsöe and Kikuchi (1988) and Bendsöe (1989).
 
2
The piezoelectric material parameters usually given for a polarization in z-direction are rotated in y-direction in the two dimensional presentation.
 
3
Depth is 1 m in the plane strain model.
 
4
One degree of freedom per \(\Gamma _{\text {hot}}\) due to equipotential surfaces.
 
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Metadata
Title
Topology optimization of a cantilevered piezoelectric energy harvester using stress norm constraints
Authors
Fabian Wein
Manfred Kaltenbacher
Michael Stingl
Publication date
01-07-2013
Publisher
Springer-Verlag
Published in
Structural and Multidisciplinary Optimization / Issue 1/2013
Print ISSN: 1615-147X
Electronic ISSN: 1615-1488
DOI
https://doi.org/10.1007/s00158-013-0889-6

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