Harvested power and sensitivity analysis of vibrating shoe-mounted piezoelectric cantilevers

112Citations
Citations of this article
85Readers
Mendeley users who have this article in their library.
Get full text

Abstract

This paper presents a preliminary investigation on energy harvesting from human walking via piezoelectric vibrating cantilevers. Heel accelerations during human gait are established by correlating data gathered from the literature with direct experimental measurements. All the observed relevant features are synthesized in a typical (standard) acceleration signal, used in subsequent numerical simulations. The transient electromechanical response and the harvested power of a shoe-mounted bimorph cantilever excited by the standard acceleration signal is computed by numerical simulations and compared with measurements on a real prototype. A sensitivity analysis is finally developed to estimate the mean harvested power for a wide range of scavenger configurations. Acceptability criteria based on imposed geometrical constraints and resistance strength limits (e.g. fatigue limit) are also established. This analysis allows a quick preliminary screening of harvesting performance of different scavenger configurations. © 2010 IOP Publishing Ltd.

References Powered by Scopus

Cited by Powered by Scopus

This article is free to access.

This article is free to access.

Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Moro, L., & Benasciutti., D. (2010). Harvested power and sensitivity analysis of vibrating shoe-mounted piezoelectric cantilevers. Smart Materials and Structures, 19(11). https://doi.org/10.1088/0964-1726/19/11/115011

Readers over time

‘10‘11‘12‘13‘14‘15‘16‘17‘18‘19‘20‘21‘22‘23‘24‘2505101520

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 27

56%

Researcher 11

23%

Professor / Associate Prof. 6

13%

Lecturer / Post doc 4

8%

Readers' Discipline

Tooltip

Engineering 46

82%

Materials Science 5

9%

Energy 3

5%

Environmental Science 2

4%

Save time finding and organizing research with Mendeley

Sign up for free
0