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Journal ArticleDOI

Laser-Induced Breakdown Spectroscopy Combined with Temporal Plasma Analysis of C2 Molecular Emission for Carbon Analysis in Coal.

13 May 2021-Applied Spectroscopy (SAGE PublicationsSage UK: London, England)-Vol. 75, Iss: 7, pp 893-900
TL;DR: In this article, a benchtop laser-induced breakdown spectroscopy is demonstrated to determine the elemental carbon content present in raw coal used for combustion in power plants, and the spectral intensities of molecular CN and C2 emission are measured together with the atomic carbon (C) and other inorganic elements (Si, Fe, Mg, Al, Ca, Na, and K) in the spectrum of coal.
Abstract: A benchtop laser-induced breakdown spectroscopy is demonstrated to determine the elemental carbon content present in raw coal used for combustion in power plants. The spectral intensities of molecular CN and C2 emission are measured together with the atomic carbon (C) and other inorganic elements (Si, Fe, Mg, Al, Ca, Na, and K) in the laser-induced breakdown spectroscopy spectrum of coal. The emission persistence time of C2 molecule emission is measured from the coal plasma generated by a nanosecond laser ablation with a wavelength of 266 nm in the Ar atmosphere. The emission persistence time of molecular C2 emission along with the spectral intensities of major ash elements (Fe, Si, Al, and Ca) and carbon emissions (atomic C, molecular CN, and C2) shows a better relationship with the carbon wt% of different coal samples. The calibration model to measure elemental carbon (wt%) is developed by combining the spectral characteristics (spectral intensity) and the temporal characteristics (emission persistence time of C2 molecule emission). The temporal characteristic studies combined with the spectroscopic data in the partial least square regression model have resulted in an improvement in the root mean square error of validation, and the relative standard deviation is reduced from 10.8% to 4.1% and from 11.3% to 6.0%, respectively.
Citations
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Journal ArticleDOI
15 Sep 2021
TL;DR: In this article, a 2D correlation analysis was used for achieving a significant improvement in the signal-to-noise (S/N) ratio of laser-induced breakdown spectroscopy (LIBS) data.
Abstract: In this study, two-dimensional (2D) correlation analysis was utilized for achieving a significant improvement in the signal-to-noise (S/N) ratio of laser-induced breakdown spectroscopy (LIBS) data. Time-resolved LIBS spectra of metallic, bimetallic targets and the normal LIBS spectra of bimetallic targets with varying compositions were used for the detailed analysis. The diagonal of the matrix in the synchronous spectra was used to demonstrate the improvement in the signal-to-noise ratio (SNR). An improvement in the peak intensities by few orders of magnitude accompanied by suppression in the noise was observed. The correlations between LIBS peaks were also visualized using the 2-D plots. The correlation strengths of atomic transitions were visualized in aluminium (Al), copper (Cu), and brass whereas correlation strengths of atomic and ionic transitions were visualized in Au-Ag bimetallic targets with different compositions (Au30Ag70, Au50Ag50, Au80Ag20). The improved spectra were subsequently used in the principal component analysis for classification studies of four compositions of bimetallic targets (Au20Ag80, Au30Ag70, Au50Ag50, and Au80Ag20). The variance of the first three principal components was found to be improved from the analysis. The accumulated percentage of explained variance of ∼95 was achieved with the first three components from improved spectra whereas only ∼80 was achieved with the regular LIBS spectra from PCA studies. Furthermore, using this correlation analysis we demonstrate a significant improvement in the SNR of CN and C2 peaks in the femtosecond LIBS spectra of two polymer samples obtained from a standoff distance of 6 m, which may prove substantial for improved classifications studies.

6 citations

Journal ArticleDOI
TL;DR: In this article, the effect of the blow gas flow rate and the suction pressure was studied on the LI-BS emission intensity and removal of the laser blown-off particle cloud.

5 citations

Journal ArticleDOI
TL;DR: In this article , the surface degradation behavior of silicone rubber nano alumina nanocomposites due to corona aging using high-frequency ac voltage was explored, and the electric field distribution on the sample surface was simulated using COMSOL.
Abstract: Silicone rubber insulators undergo degradation when they are exposed to corona discharges. The present study explores the surface degradation behavior of silicone rubber alumina nanocomposites due to corona aging using high-frequency ac voltage. The electric field distribution on the sample surface during corona aging is simulated using COMSOL. The change in silicone rubber functional group is studied using Fourier transform infrared (FTIR) spectroscopy analysis. The influence of corona aging time on the surface roughness recovery of silicone rubber nano alumina composites is studied using an atomic force microscopy (AFM). The elemental distribution behavior and change in the emission spectra persistence time are analyzed during recovery period of corona-aged silicone rubber nanocomposites using laser-induced breakdown spectroscopy (LIBS) technique. The addition of alumina nanofiller to the silicone rubber improves the resistance to aging due to corona discharge. Loss and recovery of hydrophobic property of silicone rubber due to corona aging were determined using static contact angle measurement. The results show a direct correlation between the contact angle and the surface roughness recovery characteristics. They indicate that the nanocomposite having a 5 wt% alumina content exhibits the highest resistance to corona discharge with least surface damage. Furthermore, fast recovery was observed in the first few hours after corona aging, and most samples eventually regained their properties after about 8 h of recovery time.
DOI
TL;DR: In this article , the surface degradation behavior of silicone rubber nano alumina nanocomposites due to corona aging using high-frequency ac voltage was explored, and the electric field distribution on the sample surface was simulated using COMSOL.
Abstract: Silicone rubber insulators undergo degradation when they are exposed to corona discharges. The present study explores the surface degradation behavior of silicone rubber alumina nanocomposites due to corona aging using high-frequency ac voltage. The electric field distribution on the sample surface during corona aging is simulated using COMSOL. The change in silicone rubber functional group is studied using Fourier transform infrared (FTIR) spectroscopy analysis. The influence of corona aging time on the surface roughness recovery of silicone rubber nano alumina composites is studied using an atomic force microscopy (AFM). The elemental distribution behavior and change in the emission spectra persistence time are analyzed during recovery period of corona-aged silicone rubber nanocomposites using laser-induced breakdown spectroscopy (LIBS) technique. The addition of alumina nanofiller to the silicone rubber improves the resistance to aging due to corona discharge. Loss and recovery of hydrophobic property of silicone rubber due to corona aging were determined using static contact angle measurement. The results show a direct correlation between the contact angle and the surface roughness recovery characteristics. They indicate that the nanocomposite having a 5 wt% alumina content exhibits the highest resistance to corona discharge with least surface damage. Furthermore, fast recovery was observed in the first few hours after corona aging, and most samples eventually regained their properties after about 8 h of recovery time.
References
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Journal ArticleDOI
TL;DR: In this paper, the authors reviewed the literature on laser-induced breakdown spectroscopy by dividing the literature into three categories according to target phase: solid, liquid, or gas.
Abstract: Laser-induced breakdown spectroscopy is reviewed by dividing the literature into three categories according to target phase: solid, liquid, or gas. Within each category, the literature is ...

456 citations

Journal ArticleDOI
15 Jul 2009-Talanta
TL;DR: Through the IRSAC method, the points on the Boltzmann plot become more regular, and the evaluations of the plasma temperature and material composition are more accurate than the basic CF-LIBS.

170 citations

Journal ArticleDOI
TL;DR: In this paper, a laser ablation of graphite and organic samples is studied in the context of chemical analysis by laser-induced plasma spectroscopy, and the results consistent with C2 being released directly from the target, and CN being formed later on by the interaction of C2 with atmospheric nitrogen (N2).
Abstract: Laser ablation of graphite and organic samples is studied in the context of chemical analysis by laser-induced plasma spectroscopy. Ablation is performed using an Nd:YAG laser at 1.064 μm in ambient air at atmospheric pressure. Following ablation of graphite, we find results consistent with C2 (as well as C) being released directly from the target, and CN being formed later on by the interaction of C2 with atmospheric nitrogen (N2). In the case of organic compounds, we find a clear relationship between C2 emission from the plasma and the presence of aromatic rings (containing carbon–carbon double bonds) in the compounds.

123 citations

Journal ArticleDOI
TL;DR: In this paper, the authors presented the successful trial results achieved for accurate (at least +/− ǫ 0.5% mean absolute error) online coal ash content monitoring.

119 citations

Journal ArticleDOI
TL;DR: In this paper, the authors present a comprehensive review of the use of laser-induced breakdown spectroscopy (LIBS) for coal analysis, including fundamentals and key factors, operation modes, data processing and analytical results.
Abstract: Coal is one of the world's most abundant primary energy sources. Real-time coal analysis technology is imperative for coal blending, combustion optimization, pollution reduction, and pricing. Laser-induced breakdown spectroscopy (LIBS) has been a promising candidate for coal analysis because of its uniquely fast, in situ, and online capabilities. Coal is a sedimentary rock with a complex and heterogeneous composition, and therefore, laser–coal interaction exhibits multiple phenomena. A systematic study of the experimental conditions required for stable coal–plasma formation and evolution is a headway for enhancing LIBS results. In coal-fired power plants, LIBS offers three installation sets, namely, inline, at-line, and offline, with minimal space requirements and ease of retrofit. Moreover, LIBS is a safer technique with lower installation and maintenance costs and fits the concern of coal-fired power plants for multielemental detection in fast records. Coal analysis mainly includes calorific heat value determination, proximate analysis, ultimate analysis, and other related analyses. LIBS data is handled with continuously developing mathematical and statistical modeling techniques to provide the smart extraction of the required spectral information for coal analysis. In this tutorial review, we summarize the previous research contributions utilizing LIBS for coal analysis, including fundamentals and key factors, operation modes, data processing, and analytical results. Over and above, LIBS contribution in fly ash analysis and certain literature concerning combustion diagnostics might be included to present a simple guideline for researchers interested in LIBS applications for coal utilization.

117 citations