Accurate Real-Time Elemental (LIBS) Analysis of Molten Aluminum and Aluminum Alloys

Gudmundsson, Sveinn Hinrik; Matthíasson, Jón; Leósson, Kristján

doi:10.1007/978-3-030-36408-3_114

Cited by 5 publications

(1 citation statement)

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“…They also performed an on-site analysis of 14 elements viz., Fe, Si, Cu, Ni, Ti, Cr, Mn, Sn, V, Ga, Zn, Sb, Mg, and Na from a casting line in molten Al within a primary smelter (Figure 3) [40]. Furthermore, they reported real-time repeatability in comparison with OES, stability of intensities, and concentrations of elements for 2.5 h [58]. The measurement stability was steady because the liquid surface was not modified (because the liquid surface resettles) by the LIBS analysis, while in the case of OES the solid sample surface may be modified by the analysis.…”

Section: Aluminummentioning

confidence: 92%

LIBS as a Spectral Sensor for Monitoring Metallic Molten Phase in Metallurgical Applications—A Review

et al. 2021

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This review article discusses the latest advances on molten phase monitoring in metallurgical processes by using Laser-Induced Breakdown Spectroscopy (LIBS). LIBS is an analytical laser-based technique, where a pulsed laser is focused on a sample to create a plasma. The optical emission from the plasma can be transferred through open-path optical configuration or via an optical fiber to a spectrometer to receive analytical information in the form of elemental composition. Thus, a relatively long-distance analysis can be performed using LIBS. Several modern experimental arrangements, patents and industrial notes are assessed, and the literature is reviewed. The review includes applications of LIBS to analyze steel, iron, aluminum, copper, slags, metal melts, and other materials. Temperature, pressure, and atmospheric composition are crucial parameters of any melting process. Hence, past studies on molten phases describing these parameters have been discussed. Finally, the review addresses the last technological advances for these types of applications. It also points out the need of development in some fields and some limitations to overcome. In addition, the review highlights the use of modern machine learning and data processing techniques to increase the effectiveness of calibration and quantification approaches. These developments are expected to improve the performance of LIBS systems already implemented at an industrial scale and ease the development of new applications in pyrometallurgical processes to address the stringent market and environmental regulations.

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Section: Aluminummentioning

confidence: 92%