2019 IEEE Sensors Applications Symposium (SAS) 2019
DOI: 10.1109/sas.2019.8706104
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Classification of Non-ferrous Scrap Metal using Two Component Magnetic Induction Spectroscopy

Abstract: Magnetic induction spectroscopy is the measurement of how a conductive object reflects and scatters a magnetic field over different frequencies in response to some excitation magnetic field. In recent work, we proposed using this technique to classify different non-ferrous metals for the recycling and resource recovery sector-specifically, to identify fragments of scrap aluminium, copper and brass in shredded waste streams for separation and recovery. We proposed a simple algorithm that used only two component… Show more

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Cited by 8 publications
(22 citation statements)
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“…The Nucleo-H7A3ZI-Q generates a 12-bit DAC excite signal composed of six superimposed waveforms of frequencies 3, 6, 9, 15, 30 and 60 kHz, as in previous work [ 22 ]. The excite signal is input to a power amplifier (OPA541AP, Texas Instruments) which drives the excite coil.…”
Section: Methodsmentioning
confidence: 99%
“…The Nucleo-H7A3ZI-Q generates a 12-bit DAC excite signal composed of six superimposed waveforms of frequencies 3, 6, 9, 15, 30 and 60 kHz, as in previous work [ 22 ]. The excite signal is input to a power amplifier (OPA541AP, Texas Instruments) which drives the excite coil.…”
Section: Methodsmentioning
confidence: 99%
“…The ratio consists of the real Z ′ (ω) and imaginary Z ′′ (ω)i component at a frequency ω. The ratio can be seen in equation form in 1 [12].…”
Section: Theorymentioning
confidence: 99%
“…The measurement system can be seen in Fig. 2 and includes: 1) MetalID induction sensor first described in [12].…”
Section: Imaginary Componentmentioning
confidence: 99%
“…When using LIBS the speed of the conveyor makes it difficult to target the laser, which also requires multiple shots to remove surface contaminants such as paint and dirt [7], [11]. The surface contamination must be removed when using LIBS, otherwise the composition of the contamination will be detected.…”
Section: Introductionmentioning
confidence: 99%