MTU Cork Library Catalogue

Reliability of micro mechanical low frequency energy harvesters for implanted cardiac pacemakers / Sunny Jay.

By: Jay, Sunny [author].
Material type: materialTypeLabelBookSeries: M. Eng - Electrical and Electronic Engineering.Publisher: Cork : Cork Institute of Technology, 2017Description: xv, 130 pages : illustrations (some color) ; 30 cm.Content type: text Media type: unmediated Carrier type: volumeSubject(s): Cardiac pacemakers | Microelectromechanical systems | Piezoelectric materials | Energy harvesting | Reliability (Engineering)DDC classification: THESES PRESS Dissertation note: Thesis Cork Institute of Technology, 2017
List(s) this item appears in: Masters Theses

The aim of this project was to develop methods to access the suitability and reliability of silicon-based piezoelectric micro-electro-mechanical systems (MEMS) energy harvesters to capture the kinetic energy of the heartbeat in an implanted cardiac pacemaker. The major challenges of the work were that harvesters for vibration frequencies below 100 Hz have not been widely reported and the system requires reliable operation over a long lifetime. In this work device modelling was used for harvester design assessment. Experimental test methods and equipment were developed to produce data to validate the device models and to assess device reliability. A 2D analytical model and a 3D finite element method (FEM) model to predict displacement and power were designed and developed. Three commercial off-the-shelf (COTS) PVDF piezoelectric energy harvesters, were used for model development and validation while the MEMS silicon harvesters were fabricated. The COTS harvesters were also used in the development of experimental test methods and equipment. Tyndall National Institute produced two energy harvester design and both were analysed under sinusoidal base excitation. Less than 1% error was achieved between modelling and experimental results at resonance. Once validated, the models were used to predict the energy harvester's reliability. Device failure analysis in initial reliability testing, showed good agreement with model predicted behaviour. Finally, the models were used with measured heartbeat acceleration profiles to predict power generation from a human heartbeat - (Abstract)

Thesis Cork Institute of Technology, 2017

Bibliography: (pages 126-130)

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