Abstract
This paper reviews the investigations of introducing magnetorheological elastomer (MRE)-based technologies to the design of smart electronic devices. Piezoelectric power actuators are required to operate at a resonant state in order to deliver maximum mechanical energy to loads. Owing to the field-dependent dynamic flexural rigidity of MRE-based structures, power actuators utilizing such structures exhibit the capability of compensating the change of the loads and keeping the resonant frequency at a fixed value. Four kinds of bender configurations for such smart actuators will be reviewed. They are: a cantilever suspended by an MRE patch at its free end, a single-layer MRE-based sandwich beam surface-bonded by piezoelectric patches, a multi-layer MRE-based sandwich beam surface-bonded by piezoelectric patches, and an inserts reinforced MRE-based sandwich beams surface-bonded by piezoelectric patches. Their driving capability and field-controllable capability are discussed in a detail. In addition, MRE-based structures are extended to propose linear time-variant systems for time-frequency signal processing. The system function is presented and the Wigner-Ville distribution is used to analyze the time-frequency distribution of the time-delayed response of the system. The system is proved to be a damped-vibration system with field-controllable resonant frequencies. Due to the fieldcontrollable time-frequency pattern of the time-delayed response, the system can be used for data encryption and signal modulation.
Original language | English |
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Article number | 49 |
Pages (from-to) | 411-420 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5764 |
DOIs | |
Publication status | Published - 2005 |
Externally published | Yes |
Event | Smart Structures and Materials 2005 - Smart Structures and Integrated Systems - San Diego, CA, United States Duration: 7 Mar 2005 → 10 Mar 2005 |
Research Keywords
- Magnetorheological elastomer
- Piezoelectric power actuator
- Time-frequency signal processing