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Symposia Invited Speakers
and Systems Laboratory at Virginia Tech before joining the faculty at the Biography
University of Georgia in 2014. His research includes experimental and
computational studies on the mechanics of soft emulsive systems, and Lei Zuo is a professor in both Mechanical Engineering and Electrical and
ongoing research projects include the manufacture of synthetic Computer Engineering at Virginia Tech. He serves as the Director of NSF
bioinspired tissues, reconfigurable droplet-based materials through Industry-University Collaborative Research Center (I/UCRC) for Energy
magnetic forces, and exploration of interfacial phenomena through Harvesting Materials and Systems. He completed his Ph.D. from MIT and
tensiometry and electrophysiology. returned to academia in 2008 after working in industry for four years. Lei
Zuo’s research interests include energy harvesting, mechatronics design,
SYMPOSIUM 7 vibration control, ocean renewable energy, thermoelectricity, and
advanced manufacturing. He has secured over 12 million U.S. dollars of
PASSIVE ADAPTIVE VIBRATION ENERGY HARVESTING research funding ($10M as the PI). Lei Zuo has published over 260 papers
in journals and conferences, including a few with best paper awards. He
Lei Zuo mentored 10 Ph.D. and 43 Master’s, and is currently advising 11 Ph.D. and 6
Professor M.S. students. The ASME recognized him as “a pioneering researcher in
Department of Mechanical Engineering energy harvesting, especially at larger energy scale” with its 2015 Thar
Virginia Tech Energy Design Award. Zuo is also the sole recipient of the 2017 ASME
Leonardo Da Vinci Award. He won R&D Awards twice (2015 and 2011) from
Abstract R&D Magazine. He was named as ASME Fellow in 2016. He currently
serves as a technical editor for IEEE/ASME Transactions on Mechatronics
and associate editor for ASME Journal of Vibration and Acoustics and
IFAC journal Mechatronics. He is a general co-chair of the 2019 ASME
IDETC/CIE conference.
Vibration energy harvesters are typically designed to have the natural SYMPOSIUM 8
frequency match the excitation frequency. Such energy harvesters work
effectively at the resonance. Unfortunately, in the real world, the excitation COLD-BLOODED CIRCUITS: TRANSIENT ELECTRICAL SYSTEMS
frequency is mostly time varying. When the frequency is mistuned a little THAT REQUIRE CONSTANT HEAT INPUT TO PREVENT
bit, the power output can be reduced significantly. Hence, an adaptive DISSOLUTION
tuning is desired. Several researchers have been developed adaptive
tuning method to solve this challenge. However, most of them were active Leon M. Bellan
tuning and required external energy to achieve adaptive tuning. In this Assistant Professor
talk, we would like to introduce two passive self-tuning energy harvesting Department of Mechanical Engineering
strategies: Adaptive tuning stochastic resonance via centrifugal effect and Vanderbilt University
self-resonance with a sliding mass. Our new energy harvesting strategies
can achieve passive, adaptive and broad tuning capability. The first Abstract
strategy is to passively tune the stochastic resonance frequency to track
the time varying rotating speeds of the rotation systems like the tires, via a Most circuits are used for applications that rely on the invariance of the
centrifugal stiffening effect. It is an electromagnetic energy harvester materials used to form them. Recently, however, there has been a push to
consisting of an inward oriented rotating beam subjected to buckling expand the range of materials used to include those that can be easily
induced by centrifugal force. As rotating frequency changes, the stiffness induced to disintegrate and vanish. Current efforts in the field of transient
of rotating beam also changes due to centrifugal stiffening effect. circuitry have demonstrated silicon-based microelectronic circuits that
Therefore, stochastic resonance frequency can track the time varying dissolve in aqueous solutions with predetermined timeframes. These
rotating speeds. Its performance was verified in the smart tire application systems are promising for many applications, including as monitoring or
with the maximum power of 30mW in the driving speed 30–70mph, in therapeutic implantable devices, secure “self-destructing” electronics that
comparison with sub milli-watt power of traditional energy harvesters. The may contain classified or other high value information, or zero-waste
second strategy is adding a sliding mass to the beam. The freely sliding vanishing environmental sensors. There are applications, however, that
mass changes the beam’s resonance frequency, allowing the beam to may require more sophisticated mechanisms and triggers for transience,
“self-tune” and resonate at the time-varying input excitation frequency. and several stimuli-responsive platforms have been recently developed
The bandwidth of system increased about 150% compared to without that disintegrate upon input of some form of energy (i.e., UV, heat, etc.) To
sliding mass cases. Such technique can be used to develop self-powered
sensors for the infrastructural Internet-of-Things (i-IoT) such as intelligently
structure monitoring.
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