A new paper “outcome of EuMA INTERNSHIP in RF Microtech” is now available to download on IEEE Sensors Journal.
RF MICROTECH HOST INSTITUTION FOR THE EUMA INTERNSHIP AWARDS
Every year, several “EuMA Internship Awards” are given to selected Master and PhD students to spend a period of at least 3 months abroad in one of the leading European Microwave Industries, Universities, and Research Institutes supporting this initiative.
In addition to promote the mobility of students that would like to work in the microwave field across European Institutions, the award also attracts new talents to the hosting organizations and helps creating a larger and stronger community of microwave young professionals.
In 2019, RF Microtech had the pleasure of hosting Meng Zhang from the Catholic University of Leuven during 3 months. He did an excellent job during his stay in designing a microwave sensor system for detecting and differentiating the debris in the lubrication oil.
The outcome of his research work has been accepted as a journal paper on IEEE Sensors Journal and published in November 2021.
The work, supported by RF Microtech team Hamza El Ghannudi- Head of Microwave Sensors & Systems Division, Luca Marcaccioli – President, Simone Montori-Head of Antenna Division, presents a new High-sensitivity Large-throughput Broadband Tunable Microwave Wear Debris Sensing System.
A highly sensitive, large throughput and wide dynamic range (in the aspect of size and material type) broadband tunable microwave interferometer based rectangular waveguide wear debris detection system is presented. Passing of (non)ferrous and (non)conductive particles through the sensor, which causes inductance and/or capacitance changes, are detected as transmission signal variations of the system. We first demonstrate the sensing principle with the aluminum particle of 800 μm and epoxy resin particle of 1 mm3 at 6 GHz. Then, the effects of particle size and flow speed are tested with aluminum particles ranging from 200 μm to 1.8 mm. The measurement results show that the system is able to measure particle sizes with known material and differentiate nonconductive particles from conductive ones. With the proposed data processing techniques, this system is capable of detecting as small as 76 μm particles within an 8 mm outer diameter tube. And with future improvements on sensitivity and particle material characterization, the proposed system has the potential to differentiate (non)ferrous and (non)conductive particles and measure their sizes as a real-time wear debris sensing devices for rotating and reciprocating machines.
Thanks to Meng Zhang (main author) and thanks to all RF Microtech for their contribution with special thanks to our late professor Roberto Sorrentino.
We really believe in this award and in the talent of these young people that we have the pleasure to host.
We Look forward to collaborating with EuMA team in such initiative and host again such young talent students.
You can read or download the full paper on IEEE Sensors Journal here
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