Self-powered sensors developed by Chakrabartty
and his collaborators may be attached to or embedded inside bridges, pavements,
vehicles, rotating parts and biomedical implants. They can autonomously sense,
compute and store cumulative statistics of strain rates, without the aid of
batteries. Credit: Shantanu Chakrabartty, Michigan State University
Imagine a world where bridges, roads, heart valves or knee replacements
could monitor themselves and send a warning signal before they fail.
Imagine then, if these advanced pieces of technology could power
themselves and operate for years without needing any maintenance.
Shantanu Chakrabartty, a researcher at
Michigan State University (MSU), has worked for almost a decade on these
safety-critical goals. Using four National Science Foundation (NSF) grants
since 2006, the associate professor of electrical and computer engineering in
MSU's College of Engineering has focused on the fundamental science behind
self-powered sensors for health and usage monitoring.
"My part is the core science that drives
this technology," Chakrabartty said. "I am interested in the device's
physics and in exploring new ways to sense and compute on the sensor. The
technology is currently being piloted in different applications, and every new
application allows me to optimize the sensor in different ways."
Self-powered sensors developed by Chakrabartty
and his collaborators may be attached to or embedded inside bridges, pavements,
vehicles, rotating parts and biomedical implants. They can autonomously sense,
compute and store cumulative statistics of strain rates, without the aid of
batteries.
Tiny sensor networks
With NSF support, Chakrabartty discovered a
unique synchrony between the physics of flash memory and the physics of devices
that convert mechanical stress into energy.
The innovation, called piezoelectricity-driven
hot electron injection (p-IHEI), enables energy-harvesting sensors to be
miniaturized.
A network of micro-sized sensors can
self-diagnose any catastrophic failure, according to Chakrabartty. Once fully
packaged, he hopes the sensor will become an integral part of any smart
structure, whether it is civil, mechanical or biomechanical. Credit: Shantanu
Chakrabartty, Michigan State University
These tiny sensors can then be embedded inside
structures like wind turbines or rotor blades. They can even be placed inside
the human body—for instance, in a knee implant or a heart valve.
A network of micro-sized sensors can
self-diagnose any catastrophic failure, according to Chakrabartty. Once fully
packaged, he hopes the sensor will become an integral part of any
"smart" structure, whether it is civil, mechanical or biomechanical.
Remote access to foil failure
The sensors can be remotely retrieved with a
smartphone and used to predict the onset of mechanical failure. Users may be
alerted to potential problems, minimizing the risk of bodily harm and significantly
reducing maintenance costs.
"Currently, we're looking at using a
diagnostic ultrasound to retrieve data from the sensors implanted in the
body," Chakrabartty said. "This will be highly cost-effective and
will be compatible with instrumentation already used by health care
professionals."
"My goal is now to explore new biomedical
applications of these sensors and push its limits of performance," he
said.
Data from the sensors can be remotely retrieved
with a smartphone and used to predict the onset of mechanical failure. Users
may be alerted to potential problems, minimizing the risk of bodily harm and
significantly reducing maintenance costs. One of the new sensor applications is
smart sports helmets that diagnose concussions. Credit: Shantanu Chakrabartty,
Michigan State University
One of the new sensor applications is smart
sports helmets that diagnose concussions.
"At a time when we all carry sensors in
our pockets and on our wrists to monitor many of our daily activities,
technology that enables the assessment of the health of critical
infrastructure, vital organs or the occurrence of life-threatening events is
long overdue and sorely needed," said Massimo Ruzzene, program director in
NSF's Engineering Directorate. "Dr. Chakrabartty's innovations in the area
of remote, self-powered sensing significantly contributes to this need."
Chakrabartty won an NSF CAREER Award in 2010
for his research in energy-harvesting sensors and processors. Though his
Adaptive Integrated Microsystems (AIM) Laboratory at MSU, he has been working
on a revolutionary sensing paradigm to help engineers and doctors monitor the
health of mechanical structures.
The self-powered sensor research has spawned two
U.S. and international patents with several other patents currently pending.
The technology is being marketed by the MSU Technologies Office and has led to
the formation of Piezonix, a startup company based in Michigan. Credit:
Shantanu Chakrabartty, Michigan State University
The self-powered sensor research has spawned
two U.S. and international patents with several other patents pending. The
technology is being marketed by the MSU Technologies Office and has led to the
formation of Piezonix, a start-up company based in Michigan.
Key outcomes:
- Chakrabartty's technology has led to two issued U.S. patent with several patents pending. The technology also won him the Michigan State University 2012 Innovation of the Year Award, and has created an array of ongoing scientific collaborations.
- Nizar Lajnef, assistant professor of civil engineering at MSU, earned his PhD through a related NSF award. His research monitors the degradation of asphalt and bridges. Read more in "Street Smarts – Monitors being created to watch for road and bridge defects."
- Formation of Piezonix, a start-up company responsible for commercialization of the self-powered sensing technology.
- Several undergraduate senior design projects led to the development of software used for collecting data from the sensors.
- Spin-off collaborations include research on smart infrastructure (roads and bridges), smart aircraft skins, smart orthopedic implants, smart heart valves and smart football helmets.
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