Nondestructive detection sensor technology

Project in collaboration with a Liechtenstein company

Project description

The goal of the project is to detect magnetically permeable and electrically conductive materials in the underground by means of nondestructive sensors or testing based on electromagnetic induction. The method involves modeling of 3D electromagnetic structure by finite element method (FEM) verified theoretically and experimentally with the ability to optimize the results to achieve accuracy and new features in the detection methods.

 

Publications

C. Abu Antoun / Y. Perriard; C. Köchli (Dir.) : Method and Procedure in Metal Detection and Distinctive Discrimination of Size, Shape, and Location of Hidden Single and Multi-Material Targets. Lausanne, EPFL, 2017. DOI : 10.5075/epfl-thesis-7759.
C. Abu Antoun; C. Würsch; C. Koechli; Y. Perriard : Geometrically Balanced Metal Detector Based on Optimized Frequencies and Spatial Phase Profile Responses to Discriminate Different Metal Rods Features; IEEE Magnetic Letters. 2017. DOI : 10.1109/LMAG.2017.2674619.
C. Abu Antoun; C. Würsch; C. Koechli; Y. Perriard : Smart self-calibrated metal detector, simulated, designed, verified, and used to discriminate single and multiple materials; IEEE Magnetic Letters. 2016.
C. Abu Antoun; C. Würsch; C. Koechli; Y. Perriard : Frequency Analysis of Finite Steel Cylinders and their Comparison to Complex Cylinder-like Targets using an Electromagnetic Induction Sensor. 2015. The seventeenth International Conference on Electromagnetics in Advanced Applications (ICEAA 2015), Torino, Italy, September 7 -11, 2015. p. 1171-1174. DOI : 10.1109/ICEAA.2015.7297304.
C. Abu Antoun; C. Wuersch; C. Koechli; Y. Perriard : Validity Tests of Superposition Principle Based on Forward Model for Electromagnetic Induction Scattering. 2015. The 16th IEEE Conference on Electromagnetic Field Computation (CEFC). p. 1-4. DOI : 10.1109/Tmag.2014.2365476.
C. Abu Antoun; C. Würsch; C. Koechli; Y. Perriard : Validity Tests of Superposition Principle Based on Forward Model for Electromagnetic Induction Scattering; IEEE Transactions on Magnetics. 2015. DOI : 10.1109/TMAG.2014.2365476.
C. Abu-Antoun; Y. Perriard : Robust and Efficient 3D Model of an Electromagnetic Induction (EMI) Sensor; Journal of International Conference on Electrical Machines and Systems. 2014.
C. Abu Antoun; Y. Perriard : Robust and Efficient 3D Model of an Electromagnetic Induction Sensor (EMI). 2013. The International Conference on Electrical Machines and Systems 2013 (ICEMS 2013), Busan, Korea, October 26 - 29, 2013.