2D evaluation of spectral LIBS data derived from heterogeneous materials using cluster algorithm

Gottlieb, Cassian; Millar, Steven; Grothe, Sven; Wilsch, Gerd

doi:10.1016/j.sab.2017.06.005

Cited by 29 publications

(7 citation statements)

References 18 publications

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“…The LIBS experimental setup used in this study consist of a diode-pumped Nd:YAG Laser with a wave length of 1064 nm, a pulse rate of 100 Hz, and an energy of 3 mJ (supplier Secopta FiberLIBSlab). This test setup is structurally comparable to other studies with a similar focus [16]. The laser setup leads to a power density of about I ≈ 39 GW/cm 2 to form the plasma.…”

Section: Libs Setupsupporting

confidence: 66%

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Automated Distinction between Cement Paste and Aggregates of Concrete Using Laser-Induced Breakdown Spectroscopy

2021

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Laser-induced breakdown spectroscopy (LIBS) is a technique which enables the analysis of material components with precision and spatial resolution. Furthermore, the investigation method is comparatively fast which enables illustrating the distribution of elements within the examined material. This opens new possibilities for the investigation of very heterogeneous materials, such as concrete. Concrete consists of cement, water, and aggregates. As most of the transport processes take place exclusively in the hardened cement paste, relevant limit values linked to harmful element contents are specified in relation to the cement mass. When a concrete sample from an existing structure is examined, information on the concrete composition is usually not available. Therefore, assumptions have to be made to convert the element content analyzed in the sample based on the cement content in the sample. This inevitably leads to inaccuracies. Therefore, a method for distinction between cement paste and aggregates is required. Cement and aggregate components are chemically very close to each other and therefore, complex for classification. This is why the consideration of a single distinguishing feature is not sufficient. In this paper, a machine learning method is described and has been used to automate the distinction of the cement paste and aggregates of the LIBS data to receive reliable information of this technique. The presented approach could potentially be employed for many heterogeneous materials with the same complexity to quantify the arbitrary substances.

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Section: Libs Setupsupporting

confidence: 66%

“…Before applying this method, the trained aggregate extractor (Aggex) model was serialized and deployed in the software. This gives an unprecedented advantage over clustering algorithms such as k-mean as studied by [ 16 ]. To distinguish aggregates, no further processing on newly measured specimen is required.…”

Section: Discussionmentioning

confidence: 99%

Automated Distinction between Cement Paste and Aggregates of Concrete Using Laser-Induced Breakdown Spectroscopy

2021

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“…Jolivet et al reviewed the recent advances and applications of LIBS imaging [16]. Gottlieb et al introduced a clustering algorithm (EM Lustering) applied to heterogeneous building materials (concrete) to extract spectral information from non-relevant aggregates and cement matrix [17]. It was only in the last few years that LIBS began to be used to determine mineral phases from atomic emission spectra patterns.…”

Section: Of 19mentioning

confidence: 99%

Emergences of New Technology for Ultrafast Automated Mineral Phase Identification and Quantitative Analysis Using the CORIOSITY Laser-Induced Breakdown Spectroscopy (LIBS) System

Rifaï

Paradis²,

Swierczek³

et al. 2020

Minerals

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Geochemical and mineralogical characterization studies play an important role in the definition of mineral deposits. Each mineral system has a unique set of minerals with different chemical makeup and physical properties. Platinum-group elements (PGEs), for example, are scarce resources with many applications. The optimization of extraction process efficiency is therefore crucial to prevent resource shortage and increased bulk prices. To improve the mineral liberation process, high throughput sensors must be added alongside the production line as part of fast process analysis implementation. Current analytical methods are either ineffective to assess PGE content, or unusable in the conditions of the processing facilities. This article shows how Laser-induced breakdown spectroscopy (LIBS) technology, developed by ELEMISSION Inc, can circumvent these drawbacks by enabling automated, ultra-fast, and precise quantitative mineral analyses in any working environment. The drill core samples that were used in this study were collected at the Stillwater platinum group element mine in the United States. The data used for the mineralogical database was validated using the TESCAN Integrated Mineral Analyzer (TIMA) instrument.

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“…may also be a good approach. Indeed, they have great advantages of affordability and reduced size, which makes their use possible in a multichannel configuration; ,,− however, for certain configurations, the exposition time is not adjustable, which may lead to a higher spectral complexity (all the emission generated during the plasma lifetime is recorded), possibly causing spectral interferences for some emission lines.…”

Section: Insights Into Libs Imagingmentioning

confidence: 99%

Laser-Induced Breakdown Spectroscopy Imaging for Material and Biomedical Applications: Recent Advances and Future Perspectives

et al. 2023

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2D evaluation of spectral LIBS data derived from heterogeneous materials using cluster algorithm

Cited by 29 publications

References 18 publications

Automated Distinction between Cement Paste and Aggregates of Concrete Using Laser-Induced Breakdown Spectroscopy

Automated Distinction between Cement Paste and Aggregates of Concrete Using Laser-Induced Breakdown Spectroscopy

Emergences of New Technology for Ultrafast Automated Mineral Phase Identification and Quantitative Analysis Using the CORIOSITY Laser-Induced Breakdown Spectroscopy (LIBS) System

Laser-Induced Breakdown Spectroscopy Imaging for Material and Biomedical Applications: Recent Advances and Future Perspectives

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