Non-ferrous metal waste particles from production falls, process industry scrap, and collected end-of-life products are used to make secondary (refined) metal, particles identification is paramount to facilitate their recycling.Eddy current testing is a widely used technique in non-destructive testing and evaluation of materials.The aim of the present study is the characterization optimization of particle waste by the eddy current method.Finite element 3D configurations are used.The particles thickness depends on the grinding machines.The air gap (lift off) between the control sensor and the waste can be adjusted.We performed a series of simulations by varying the value of the particle thickness, and the value of the lift off.The particle thickness has a significant effect on the sensor response.Also, the sensitivity of the sensor response increases with the decrease of the lift off value.Characterization of material particles depending on particle thickness and setting the value of lift off is realized by constructing an inverse model.

Study of Eddy Current Characterization in Waste Particles

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