Fully Printed Sensors For Realizing Intelligent Surfaces (Sensors Europe 2017)

Mr Gregor Scheipl, Scientist
Joanneum Research


Europe 2017 Presentation - Joanneum Research*
Europe 2017 Audio Presentation - Joanneum Research*

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Presentation Summary

JOANNEUM RESEARCH has long-term experience in the development, characterization, testing, and demonstrator implementation of ferroelectric sensors. A screen printable, ferroelectric paste based on the copolymer P(VDF:TrFE) was developed and patented. It is used to fabricate a fully printed 2D sensor structure, called PyzoFlex®, where the sensor active material is sandwiched between two electrodes. PyzoFlex®-sensors are able to detect dynamic pressure and temperature changes, are energy self-sufficient, large scale and flexible. This technology enables (i) new concepts for sensor systems or (ii) the extension of functionality of existing systems. Applications range from "simple" switches or keypads to intelligent surfaces like smart floors.

Speaker Biography (Gregor Scheipl)

Gregor Scheipl studied earth sciences with focus on petrology and geochemistry at the Karl-Franzens University in Graz. He finished his studies with the applied master thesis: "Purification and chemical characterization of organic semiconducting materials" in 2005. Since 2008 he is employed as a permanent scientist at JOANNEUM RESEARCH/Materials in Austria.
His main interests are fabrication and characterization of physical sensors as well as ferroelectric polymers, pyro‐ and piezoelectricity and printing/imprinting techniques.
Due to the exceptionally high potential and maturity of PyzoFlex® technology, Gregor's focus has shifted to business development in order to successfully commercialize PyzoFlex®.

Company Profile (Joanneum Research)

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PyzoFlex® is a technology by JOANNEUM RESEARCH, a leading international research organisation. PyzoFlex® allows the cost efficient production of large area, flexible and energy self-sufficient sensors for the detection of pressure and temperature changes as well as vibration monitoring and provides opportunities for new products or processes based on Intelligent Surfaces.
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