Mechatronic Systems Based on Smart Materials

Dielectric Elastomers & Shape Memory Alloys
15 maggio 2019
May 15th, 2019
Contatti: 
DII - Dipartimento di Ingegneria Industriale
via Sommarive, 9 - 38123 Povo, Trento
Tel. 
+39 0461 282500 - 2503
Fax 
fax +39 0461 281977

Venue: Seminar Room, h. 14:00, Polo scientifico-tecnologico Fabio Ferrari – via Sommarive 9 - Trento

Gianluca Rizzello
Intelligent Material Systems Lab, Department of Systems Engineering & Department of Material Science and Engineering, Saarland University, Saarbrücken, Germany

Abstract

In many fields of engineering, ranging from industry to bio-inspired systems, the need for electro-mechanical devices showing features such as lightweight, compactness, energy efficiency, and accurate controllability of position/force is becoming more and more prominent. In recent years, many design solutions based on smart materials have been proposed. These include, e.g., piezoelectric ceramics, shape memory alloys, and electro-active polymers, which have the ability to react to an external stimulus (e.g., electrical, magnetic, thermal) by modifying their mechanical characteristics. By properly exploiting the properties, a new generation of mechatronic devices can be developed, in order to complement or even improve the performance of current transduction technologies in a number of fields. It is remarked, however, that up to date the high potential of smart materials still remains largely unexploited. This may be due, among many possible reasons, to the low resistance to fatigue, to the high sensitivity to environmental conditions, and to the fact that the characteristics of such materials are often heterogeneous, showing strong nonlinear, hysteretic, and rate-dependent phenomena. In particular, the strong nonlinearity makes design, modeling, and control of such systems a particularly challenging task.

This presentation aims at providing an overview of smart materials in mechatronic applications, by focusing on two recent classes of transducers, i.e., Dielectric Elastomers (DEs) and thermal Shape Memory Alloys (SMAs). Both materials can be used to generate actuation stroke or force by means of a controllable stimulus (voltage and temperature, respectively). However, they also exhibit a complex nonlinear response, which makes their design, modeling, and control highly challenging. An overview of the main characteristics and challenges raised by each material will first be illustrated. Issues related to material system design, modeling, and control will be addressed, and several applications of smart material systems will be presented.

Biosketch

Gianluca Rizzello received the master’s (Hons.) degree in control engineering from the Polytechnic University of Bari, Bari, Italy, in 2012. He received his Ph.D. in Information and Communication Technologies from Scuola Interpolitecnica di Dottorato, a joint program between Polytechnic Universities of Torino, Bari, and Milano, Italy, in 2016. During his Ph.D. studies he has been a Visiting Research Scholar with the University of Saarland, Saarbrücken, Germany, where he is currently working as a post-doc researcher with the role of Group Leader Smart Material Modeling and Control. His research interests involve modeling, control, and self-sensing of innovative actuators based on smart materials, and control of high-speed electrical motors and generators for aerospace applications.

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