scholarly journals Analysis of Ilmenite Slag Using Laser-Induced Breakdown Spectroscopy

Minerals ◽  
2020 ◽  
Vol 10 (10) ◽  
pp. 855
Author(s):  
Avishek Kumar Gupta ◽  
Matti Aula ◽  
Erwan Negre ◽  
Jan Viljanen ◽  
Henri Pauna ◽  
...  
Keyword(s):  
Slag Sample ◽  
Compositional Analysis ◽  
Magnesium Content ◽  
Pilot Scale ◽  
Titanium Content ◽  
Laser Induced Breakdown Spectroscopy ◽  
Good Prediction ◽  
Breakdown Spectroscopy ◽  
Characteristic Lines ◽  
Laser Induced Breakdown

The feasibility of using laser-induced breakdown spectroscopy (LIBS) for the compositional analysis of ilmenite slag was explored. The slag was obtained from a pilot-scale ilmenite smelting furnace. The composition of major oxides TiO2, FeO, and MgO are determined by the calibrated LIBS method. LIBS measurements are done under normal atmosphere and temperature. A Q-switched Nd:YAG laser operating at 355 nm was used to create a plasma on an ilmenite slag sample. The characteristic lines based on the NIST database of Fe, Mg, and Ti can be identified on the normalized LIBS spectra for the slag samples. The spectral range chosen for the study is 370 to 390 nm. Calibration curves were plotted using the data collected from various industrial ilmenite samples of varying compositions of TiO2, FeO, and MgO. The univariate simple linear regression technique was used to do the analysis and the prediction accuracy was checked by the root mean square error (RMSE). To validate the application of LIBS, both qualitative and quantitative analysis is done and compared to the analytical ICP-OES results. The model predicts the magnesium content with the highest accuracy and gives good prediction for iron and titanium content. This study demonstrates the capability of using LIBS for the surface analysis of the ilmenite slag sample.

Compositional Analysis of Polychromes by Laser-Induced Breakdown Spectroscopy

2008 ◽  
Vol 587-588 ◽  
pp. 657-661 ◽  
Author(s):  
Ana J. López ◽  
Mari Paz Mateo ◽  
Ana Santaclara ◽  
Armando Yáñez
Keyword(s):  
Nd:Yag Laser ◽  
Compositional Analysis ◽  
Laser Source ◽  
Laser Induced Breakdown Spectroscopy ◽  
Depth Profiles ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

This study deals with the analysis and characterization of wood polychromes by means of Laser-Induced Breakdown Spectroscopy (LIBS). Specimens from a Baroque altarpiece have been analyzed by using a Q-switched Nd:YAG laser source at the wavelength of 355 nm. Previously, a library of characteristic LIBS spectra of the most commonly used pigments and other materials involved was obtained. The knowledge of these spectra allowed us to identify the main constituents of the different layers in polychromes and to obtain compositional depth profiles.

A Comparative Study of Two Data Reduction Methods for Steel Classification Based on LIBS

2014 ◽  
Vol 644-650 ◽  
pp. 4722-4725 ◽  
Author(s):  
Hai Yang Kong ◽  
Lan Xiang Sun ◽  
Jing Tao Hu ◽  
Yong Xin ◽  
Zhi Bo Cong
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Principal Component ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Characteristic Lines ◽  
Laser Induced Breakdown ◽  
Reduction Methods ◽  
Artificial Neural ◽  
Priori Knowledge

Spectra of 27 steel samples were acquired by Laser-Induced Breakdown Spectroscopy (LIBS) for steel classification. Two methods were used to reduce dimensions: the first is to select characteristic lines of elements contained in the samples manually and the second is to do principal component analysis (PCA) of original spectra. Then the data after reducing dimensions was used as the input of artificial neural networks (ANN) to classify steel samples. The results show that, the better result can be achieved by selecting peak lines manually, but this solution needs much priori knowledge and wastes much time. The principal components (PCs) of original spectra were utilized as the input of artificial neural networks can also attain a good result nevertheless and this method can be developed into an automatic solution without any priori knowledge.

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.

scholarly journals Fast and Simultaneous Determination of Soil Properties Using Laser-Induced Breakdown Spectroscopy (LIBS): A Case Study of Typical Farmland Soils in China

Soil Systems ◽  
2019 ◽  
Vol 3 (4) ◽  
pp. 66 ◽  
Author(s):  
Xuebin Xu ◽  
Changwen Du ◽  
Fei Ma ◽  
Yazhen Shen ◽  
Jianmin Zhou
Keyword(s):  
Soil Properties ◽  
Simultaneous Determination ◽  
Laser Induced Breakdown Spectroscopy ◽  
Promising Alternative ◽  
Breakdown Spectroscopy ◽  
Characteristic Lines ◽  
Wide Range ◽  
Farmland Soils ◽  
Laser Induced Breakdown

Accurate management of soil nutrients and fast and simultaneous acquisition of soil properties are crucial in the development of sustainable agriculture. However, the conventional methods of soil analysis are generally labor-intensive, environmentally unfriendly, as well as time- and cost-consuming. Laser-induced breakdown spectroscopy (LIBS) is a “superstar” technique that has yielded outstanding results in the elemental analysis of a wide range of materials. However, its application for analysis of farmland soil faces the challenges of matrix effects, lack of large-scale soil samples with distinct origin and nature, and problems with simultaneous determination of multiple soil properties. Therefore, LIBS technique, in combination with partial least squares regression (PLSR), was applied to simultaneously determinate soil pH, cation exchange capacity (CEC), soil organic matter (SOM), total nitrogen (TN), total phosphorus (TP), total potassium (TK), available phosphorus (AP), and available potassium (AK) in 200 soils from different farmlands in China. The prediction performances of full spectra and characteristic lines were evaluated and compared. Based on full spectra, the estimates of pH, CEC, SOM, TN, and TK achieved excellent prediction abilities with the residual prediction deviation (RPDV) values > 2.0 and the estimate of TP featured good performance with RPDV value of 1.993. However, using characteristic lines only improved the predicted accuracy of SOM, but reduced the prediction accuracies of TN, TP, and TK. In addition, soil AP and AK were predicted poorly with RPDV values of < 1.4 based on both full spectra and characteristic lines. The weak correlations between conventionally analyzed soil AP and AK and soil LIBS spectra are responsible for the poor prediction abilities of AP and AK contents. Findings from this study demonstrated that the LIBS technique combined with multivariate methods is a promising alternative for fast and simultaneous detection of some properties (i.e., pH and CEC) and nutrient contents (i.e., SOM, TN, TP, and TK) in farmland soils because of the extraordinary prediction performances achieved for these attributes.

Compositional analysis of Hispanic Terra Sigillata by laser-induced breakdown spectroscopy

2005 ◽  
Vol 60 (7-8) ◽  
pp. 1149-1154 ◽  
Author(s):  
A.J. López ◽  
G. Nicolás ◽  
M.P. Mateo ◽  
V. Piñón ◽  
M.J. Tobar ◽  
...  
Keyword(s):  
Compositional Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown
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