Investigations of calcium spectral lines in laser-induced breakdown spectroscopy

2017 ◽  
Author(s):  
Sim Yit Ching ◽  
Usman Tariq ◽  
Zuhaib Haider ◽  
Kashif Tufail ◽  
Salwanie Sabri ◽  
...  
Keyword(s):  
Spectral Lines ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Gold Nanoparticle-Enhanced Laser-Induced Breakdown Spectroscopy and Three-Dimensional Contour Imaging of an Aluminum Alloy

2020 ◽  
pp. 000370282097304
Author(s):  
Amal A. Khedr ◽  
Mahmoud A. Sliem ◽  
Mohamed Abdel-Harith
Keyword(s):  
Gold Nanoparticles ◽  
Aluminum Alloy ◽  
Three Dimensional ◽  
Plasma Temperature ◽  
Spectral Lines ◽  
Laser Induced Breakdown Spectroscopy ◽  
Al Alloy ◽  
Boltzmann Plot ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

In the present work, nanoparticle-enhanced laser-induced breakdown spectroscopy was used to analyze an aluminum alloy. Although LIBS has numerous advantages, it suffers from low sensitivity and low detection limits compared to other spectrochemical analytical methods. However, using gold nanoparticles helps to overcome such drawbacks and enhances the LIBS sensitivity in analyzing aluminum alloy in the current work. Aluminum was the major element in the analyzed samples (99.9%), while magnesium (Mg) was the minor element (0.1%). The spread of gold nanoparticles onto the Al alloy and using a laser with different pulse energies were exploited to enhance the Al alloy spectral lines. The results showed that Au NPs successfully improved the alloy spectral lines intensity by eight times, which could be useful for detecting many trace elements in higher matrix alloys. Under the assumption of local thermodynamic equilibrium, the Boltzmann plot was used to calculate the plasma temperature. Besides, the electron density was calculated using Mg and H lines at Mg(I) at 285.2 nm and Hα(I) at 656.2 nm, respectively. Three-dimensional contour mapping and color fill images contributed to understanding the behavior of the involved effects.

Nanoparticle-Enhanced Laser Induced Breakdown Spectroscopy Using Copper–Silver and Nickel–Carbon Nanocomposites on Aluminium

2019 ◽  
Vol 18 (03n04) ◽  
pp. 1940022
Author(s):  
V. V. Kiris ◽  
A. V. Butsen ◽  
E. A. Ershov-Pavlov ◽  
M. I. Nedelko ◽  
A. A. Nevar
Keyword(s):  
Laser Ablation ◽  
Emission Intensity ◽  
Aluminum Foil ◽  
Spectral Lines ◽  
Laser Induced Breakdown Spectroscopy ◽  
Cu Nanoparticles ◽  
Laser Plume ◽  
Carbon Nanocomposites ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Composite Ag–Cu and Ni–C nanoparticles were synthesized by laser ablation and spark discharge in liquid, respectively. An amplification of the signal during laser induced breakdown spectroscopy was observed after deposition of the nanoparticles on the surface of an aluminum foil. The emission intensity of the laser plume increased from 2 to 20 times depending on the spectral lines used for the measurements. The intensity growth was higher for Ag–Cu nanoparticles.

Characteristics of spectral lines with crater development during laser-induced breakdown spectroscopy

2016 ◽  
Vol 55 (26) ◽  
pp. 7422 ◽  
Author(s):  
Kuohu Li ◽  
Lianbo Guo ◽  
Xiangyou Li ◽  
Zhongqi Hao ◽  
Jiaming Li ◽  
...  
Keyword(s):  
Spectral Lines ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

scholarly journals Determination of Species Concentrations of Ti-6Al-4V Titanium Alloys using Calibration Free Laser Induced Breakdown Spectroscopy

2018 ◽  
Vol 3 (8) ◽  
pp. 50 ◽  
Author(s):  
Tagreed K. Hamad ◽  
Hussein Thamer Salloom
Keyword(s):  
Energy Levels ◽  
Surface Hardness ◽  
Plasma Temperature ◽  
Hardness Test ◽  
Spectral Lines ◽  
Laser Induced Breakdown Spectroscopy ◽  
Boltzmann Plot ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Calibration Free

In this study, Calibration-free Laser-induced breakdown spectroscopy (CF-LIBS) was applied to quantitatively analyze the elemental composition of Ti-6Al-4V titanium based alloy samples with no need for matrix-matched calibration procedure. Nd:YAG pulsed laser operating at a wavelength of 1064 nm was focused onto the sample to generate plasma. The spectrum of plasma was recorded using spectrophotometer then compared to NIST spectral lines to determine characteristic wavelengths, energy levels and other spectroscopic parameters. The values of plasma temperature obtained using Boltzmann plot for four examined samples ranged from 7439 to 6826 K while the electron density for each element was determined using Boltzmann-Saha equation. The concentration of Ti, Al, V and Fe has been determined and were within the samples nominal concentrations obtained from XRF analysis.  The calculated average relative errors of Ti, Al, V and Fe were 0.39%, 4.38%, 4.94 % and 8.2 %, respectively. Finally, there was a direct proportionality relation between the ratio of ionic to neutral emission lines of Ti for four samples and the surface hardness values measured mechanically using Vickers hardness test. The ratio at   had the best linear regression value (R2=0.95) which indicates the best correlation with surface hardness.

scholarly journals Investigation of compositional analysis and physical properties for Ni-Cr-Nb alloys using laser-induced breakdown spectroscopy

2021 ◽  
Vol 51 (3) ◽  
Author(s):  
Hussein Salloom ◽  
Tagreed Hamad
Keyword(s):  
Thermal Conductivity ◽  
Laser Energy ◽  
Plasma Temperature ◽  
Compositional Analysis ◽  
Spectral Lines ◽  
Laser Induced Breakdown Spectroscopy ◽  
Elemental Content ◽  
Empirical Formulas ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

In this work, laser-induced breakdown spectroscopy (LIBS) analysis is optimized for direct estimation of elemental composition, thermal conductivity and hardness for Ni-Cr-Nb alloys. These alloys were chosen with a variable elemental content of niobium and chromium. The influence of laser energy and shot numbers on measuring line intensity was investigated. Based on the ratio between two spectral lines, calibration curves were formed to estimate the element concentration and LIBS results were confirmed with related energy-dispersive X-ray spectroscopy (EDS) data. Hardness and thermal conductivity estimation using LIBS were done by measuring the ratio between two spectral lines, plasma excitation temperature and electron density for different samples. Semi-empirical formulas correlated hardness and thermal conductivity with plasma temperature were established.

Secondary plasma formation after single pulse laser ablation underwater and its advantages for laser induced breakdown spectroscopy (LIBS)

2016 ◽  
Vol 18 (21) ◽  
pp. 14629-14637 ◽  
Author(s):  
M. R. Gavrilović ◽  
M. Cvejić ◽  
V. Lazic ◽  
S. Jovićević
Keyword(s):  
Pulse Laser ◽  
Laser Excitation ◽  
Pulse Laser Ablation ◽  
Single Pulse ◽  
Spectral Lines ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Pulse Laser Excitation ◽  
Secondary Plasma

We demonstrated that well resolved and intense spectral lines can be obtained by single pulse laser excitation underwater if recording only secondary plasma emission using large acquisition gate widths.

scholarly journals Determination of Heating Value of Estonian Oil Shale by Laser-Induced Breakdown Spectroscopy

2018 ◽  
Vol 2018 ◽  
pp. 1-10 ◽  
Author(s):  
M. Aints ◽  
P. Paris ◽  
M. Laan ◽  
K. Piip ◽  
H. Riisalu ◽  
...  
Keyword(s):  
Regression Model ◽  
Oil Shale ◽  
Optimal Number ◽  
Spectral Lines ◽  
Laser Induced Breakdown Spectroscopy ◽  
Least Squares Regression ◽  
Heating Value ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

The laser-induced breakdown spectroscopy (LIBS) combined with multivariate regression analysis of measured data were utilised for determination of the heating value and the chemical composition of pellets made from Estonian oil shale samples with different heating values. The study is the first where the oil shale heating value is determined on the basis of LIBS spectra. The method for selecting the optimal number of spectral lines for ordinary multivariate least squares regression model is presented. The correlation coefficient between the heating value predicted by the regression model, and that measured by calorimetric bomb, was R2=0.98. The standard deviation of prediction was 0.24 MJ/kg. Concentrations of oil shale components predicted by the regression model were compared with those measured by ordinary methods.

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