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Engineers develop method to enhance piezoelectric sensors

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Photo credit: Ryan Owens, MU College of Engineering
Photo credit: Ryan Owens, MU College of Engineering

Enhanced sensors could lead to advances in aviation condition monitoring and improvements in health monitors

A method developed to enhance piezoelectric sensors could lead to better monitoring of aircraft and improved biosensors, according to researchers from the University of Missouri College of Engineering.

Piezoelectric sensors measure changes in pressure, acceleration, temperature, strain or force and are used in a vast array of devices. However, these sensors can be limited by the "white noise" they detect, which can give engineers and health care workers false readings.

Guoliang Huang, an associate professor of mechanical and aerospace engineering in the University of Michigan (MU) College of Engineering, and his team's new platform improves sensors by amplifying the signal, allowing the same amount of sensors to read more data. Their new device also cuts costs by allowing fewer sensors to cover larger structures and longer distances.

"In the past, methods to produce signal intensification have only included electrical amplification," Huang said. "Our technique uses a combination of mechanical and electrical amplification, overcoming the limitations of using just electrical amplification."

The new sensing platform can be "tuned" using an electric signal, which when connected to circuit boards with sensors can pick up weaker signals that previously could not be detected.

"The amplified wave cuts through the surrounding noise," Huang said. "It's the first such device that illustrates how to use adaptive metamaterials to improve elastic wave sensing capabilities. This can be very useful to developing high-sensitivity sensing technology."

The team believes that these enhanced sensors could be used to improve aviation, detect structural damage in buildings and bridges, and boost the capabilities of health monitors.

Enhanced flexural wave sensing by adaptive gradient-index metamaterials was published in Scientific Reports, a journal of Nature

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