Identification of the metal waste using an electromagnetic sensor

Abstract

This article describes a new method for identification of non-ferrous scrap metals using an Electromagnetic Sensor (EMS) that is based on the Eddy Current (EC) principle. Electromagnetic sensor is a suitable tool for identifying recoverable waste products. The identification of particles is essential to facilitate their recovery. This study deals with the 3D modelling of electromagnetic sensor located above for a representative cylindrical form particle sample of the waste. Based on the EC, we are going to be estimating the electric conductivity of the metal waste by using least squares methods (LSM) and the inverse model. Results obtained by the finite element method (FEM) are compared with experimental tests. So, the results prove the applicability of presenting the approach for the identification of waste metal by the eddy currents.

Study of Eddy Current Characterization in Waste Particles

“…The electrical conductivity (Ms / m) can be carried out from a single relation: the impedance depending on the electrical conductivity previously characterized at a given frequency f, appropriately chosen, that is to say in the range where the measurements are sufficiently sensitive [6]. Figure 8 shows the modulus of the impedance depending on the electrical conductivities of the six metal samples with the values of the particle thickness, under an excitation frequency of 100 KHz, and the value of the lift off is set to 0.1 mm.…”