Compositional analysis of copper and iron-based alloys using LIBS coupled with chemometric method

Gupta, Vikas; Rai, Abhishekh Kumar; Kumar, Tejmani; Tarai, Akash; Gundawar, G. Manoj Kumar; Rai, A. K.

doi:10.1007/s44211-023-00429-y

Cited by 3 publications

(1 citation statement)

References 26 publications

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“…In addition, the technology can be used to measure powders and geodesic materials [10][11][12][13]. Spectrometers operating in LIBS technology [14], due to the better detection of light elements (aluminium, magnesium, silicon, etc. ), are used more often for measurements of aluminium alloys [15].…”

Section: Mobile Spectrometers For Measuring the Content Of Chemical E...mentioning

confidence: 99%

Effect of Surface Condition on the Results of Chemical Composition Measurements of Scrap Copper Alloys

Bernat,

Jurtsch,

Moryson

et al. 2024

Recycling

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The processing of copper-bearing scrap makes it possible to reduce the costs and energy consumption of obtaining copper alloy products compared to producing them from primary raw materials. To achieve this, it is necessary to quickly and accurately determine the content of alloying elements in individual scrap elements. However, the copper-bearing scrap obtained at secondary raw materials collection points consists of elements with various surface conditions (due to contamination, shape, paint coatings, roughness, etc.). The paper contains research results on the influence of surface roughness and paint coatings on the measurement result of the content of alloying elements in copper-bearing scrap. Three mobile spectrometers were used for measurements: spark-induced optical emission spectroscopy (OES), X-ray fluorescence spectrometry (XRF) and laser-induced breakdown spectroscopy (LIBS). The tests used elements with different surface roughness (from Ra = 0.03 μm to 6.7 μm) and covered with various types of varnish (alkyd, water-based, oil-phthalic, acrylic, oil-alkyd). It was found that the roughness of Ra < 2 μm does not significantly affect the results of the measurements with the OES and LIBS spectrometers, and a larger scatter of measurement results was observed for the XRF spectrometer compared to OES and LIBS. For Ra > 2 μm, a significant impact of roughness was found on the measurement results (this may result in the erroneous classification of the scrap as an incorrect material group). The influence of paint coatings on the measurement is much stronger compared to surface roughness. Even a single layer of paint can cause a change in the measurement result of the content of alloying elements by more than 10%. In the case of an OES spectrometer, paint coatings may prevent the measurement from being performed (which means that no measurement result can be acquired).

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Section: Mobile Spectrometers For Measuring the Content Of Chemical E...mentioning

confidence: 99%

Effect of Surface Condition on the Results of Chemical Composition Measurements of Scrap Copper Alloys

Bernat,

Jurtsch,

Moryson

et al. 2024

Recycling

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Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

Bolea-Fernandez,

Clough,

Fisher

et al. 2024

J. Anal. At. Spectrom.

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Design and optimization of handheld alloy analysis instrument based on microjoule high pulse repetition frequency LIBS

Qu,

Yang,

Zhou

et al. 2024

Review of Scientific Instruments

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We briefly describe the design of a handheld metal detection instrument based on microjoule high repetition frequency laser-induced breakdown spectroscopy. The instrument uses a Raspberry Pi as the control core and a laser with a frequency of 10 kHz and a single pulse energy of 100 µJ as the excitation source. In addition, a mini-putter is built into the instrument to move the laser, allowing the ablation of the sample surface line area without external auxiliary equipment. The excitation-generated plasma radiation is collected by a simple optical path and transmitted directly to the spectrometer. We also constructed and trained a Backpropagation Artificial Neural Network (BP-ANN) model based on 12 different grades of alloys and transplanted the feedback process of the BP-ANN to the Raspberry Pi, which realized the rapid classification of the 12 alloys with >95% classification accuracy on the handheld instrument.

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Compositional analysis of copper and iron-based alloys using LIBS coupled with chemometric method

Cited by 3 publications

References 26 publications

Effect of Surface Condition on the Results of Chemical Composition Measurements of Scrap Copper Alloys

Effect of Surface Condition on the Results of Chemical Composition Measurements of Scrap Copper Alloys

Atomic spectrometry update: review of advances in the analysis of metals, chemicals and materials

Design and optimization of handheld alloy analysis instrument based on microjoule high pulse repetition frequency LIBS

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