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In order to make condition-based maintenance a
real possibility, there has to be a way to detect damage before it causes
failure. That way, parts can be replaced when they are about to wear out
rather than because a specific amount of time has elapsed. Now, engineers
at Purdue University in West Lafayette, Ind., are working to make this
possible by improving structural health monitoring systems for aircraft
and other applications.
According to Douglas E. Adams, an assistant professor of mechanical engineering
at Purdue, the salient feature of a structural health monitoring system
is that it allows you to test a structure while it is in actual operation.
"We focus on vibration-based, acoustic emissions," said
Adams. "We rely on the simple fact that if you vibrate something,
you'll see the damage better." Adams has been collaborating
with research assistant Rebecca L. Brown and Mark Schiefer, an engineer
with The Modal Shop Inc., a Cincinnati company specializing in test equipment
related to vibration and acoustics.
This
so-called "black box" serves as the nerve center of the structural diagnostics
system.
The system, known as SDNA, for "structural diagnostics using nonlinear
analysis," involves a network of actuators and sensors that can
be embedded in or attached to a structure such as an aircraft or other
vehicle, along with software that Adams wrote to make it possible to interpret
the results. The actuators emit high-frequency sound waves that pass through
the material to be tested and are detected by the sensors. The multiple
sensors make it easier to zero in on the exact location of damage and
avoid false alarms.
The system's transmissibility measurements compare the response,
or displacement, caused by an input force at different points to see how
they are related, so it is not necessary to measure the force that is
originally applied. This output-only technique makes it possible to make
measurements on, say, an airplane in flight, since wind, engine noise,
and other variables are just so much more grist for the mill.
Factors such as temperature change can cause changes in transmissibility,
which can result in false reports of damage. But multiple sensors spread
over an aircraft in flight can detect the response of several parts of
the structure to these changes, with only outlier responses flagged as
damage.
A further advantage of the system is its noninvasiveness. "When
technicians make inspections, they can inadvertently introduce more damage
than was there before," Adams noted.
Composite materials are one application where this technique is particularly
useful, he noted, and one much in the news recently. A slight impact can
cause a tiny defect inside the composite, invisible from the outside,
which may involve a shifting of the material's structure. This
can be difficult to see even with standard nondestructive evaluation techniques,
he added.
Adams's solution is to build the sensors right into the part when
it's manufactured. They can even take the form of bolts, washers,
and the like, which help keep the structure together.
Douglas
E. Adams demonstrates his system, which tests for damage in structures
by sending sound waves through the material.
With less sensitive materials, the system can be retrofitted onto existing
structures, but Adams envisions eventually building in structural health
monitoring from the beginning. The condition-based maintenance system
that this would make possible would save government and industry billions
of dollars a year, according to Adams, not to mention saving lives as
well.
The ultimate goal is to build smart structures using sensors and computer
chips, he said. Smart structures would monitor their own health and alert
users to the need for repair when it arises. Should a catastrophic failure
impend, the structure would have the capacity to "heal itself"that
is, to make emergency repairs that would hold until the aircraft, for
instance, could be returned to the ground for repairs.
While such systems are already showing up in some manufacturing facilities,
on machine tools and the like, the aircraft applications that Adams has
mainly envisioned will have to wait for FAA certification. Meanwhile,
Adams is engaged in expanding his health monitoring approach at the behest
of the U.S. Department of Defense. This new system will use a greatly
expanded network of sensors and more sophisticated data mining techniques,
which should increase reliability in pinpointing damage and predicting
maintenance needs.
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