ArchivIA Università degli Studi di Catania

ArchivIA - Archivio istituzionale dell'Universita' di Catania >
Tesi >
Tesi di dottorato >
Area 09 - Ingegneria industriale e dell'informazione >

Please use this identifier to cite or link to this item:

Issue Date: 28-Jan-2015
Authors: De Luca, Viviana
Title: Advanced modeling techniques for electroactive polymers transducers
Abstract: This dissertation deals with the modeling of electroactive polymers. More specifically IPMCs and IP2Cs, which are electroactive polymers that can be used both as sensors and as actuators, have been considered. The modeling of IPMC and IP2C transducers, in fact, is an open issue relevant to the development of effective applications. An introductions to the general framework of the proposed models of Electroactive polymers will be given in Section 1, while, in Sections 2 and 3, a multiphysics model of actuators is presented in details. It integrates the description of the electrical, mechanical, chemical and thermal coupled physics domains in a unique solution. As a novel contribution, a model optimization procedure which integrates Nelder-Mead simplex method with the multiphysics model is exploited to identify model parameters by fitting experimental data. A further nonlinear neural network model of IP2C actuators has been implemented and the results will be described in Section 4. The proposed model takes into account the humidity dependence of the device as a modifying input. Three different Neural Network models, e.g. Feed-forward neural network, Radial-basis neural network and recurrent neural network are developed and a comparison of proposed model have been reported.
Appears in Collections:Area 09 - Ingegneria industriale e dell'informazione

Files in This Item:

File Description SizeFormatVisibility
DLCVVN85M41F158M-PhD Thesis_Viviana DeLuca.pdfPhD Thesis of Viviana De Luca3,35 MBAdobe PDFView/Open

Items in ArchivIA are protected by copyright, with all rights reserved, unless otherwise indicated.

Share this record




Stumble it!



  Browser supportati Firefox 3+, Internet Explorer 7+, Google Chrome, Safari

ICT Support, development & maintenance are provided by the AePIC team @ CILEA. Powered on DSpace Software.