Cement raw material quality analysis using laser-induced breakdown spectroscopy

2016 ◽  
Vol 31 (12) ◽  
pp. 2384-2390 ◽  
Author(s):  
Hualiang Yin ◽  
Zongyu Hou ◽  
Lei Zhang ◽  
Xiangjie Zhang ◽  
Zhe Wang ◽  
...  
Keyword(s):  
Raw Material ◽  
Quality Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Standardization Method ◽  
Material Quality ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Cement Raw Material

The capability of LIBS analysis of the cement raw material is improved by using a new spectrum standardization method.

Design of a Laser-Induced Breakdown Spectroscopy System for On-Line Quality Analysis of Pulverized Coal in Power Plants

2009 ◽  
Vol 63 (8) ◽  
pp. 865-872 ◽  
Author(s):  
Wangbao Yin ◽  
Lei Zhang ◽  
Lei Dong ◽  
Weiguang Ma ◽  
Suotang Jia
Keyword(s):  
Sample Preparation ◽  
Measurement Errors ◽  
Power Plants ◽  
Pulverized Coal ◽  
Quality Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Gas Cleaning ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
On Line

It is vitally important for a power plant to determine the chemical composition of coal prior to combustion in order to obtain optimal boiler control. In this work, a fully software-controlled laser-induced breakdown spectroscopy (LIBS) system comprising a LIBS apparatus and sampling equipment has been designed for possible application to power plants for on-line quality analysis of pulverized coal. Special attention was given to the LIBS system, the data processing methods (especially the normalization with Bode Rule/DC Level) and the specific settings (the software-controlled triggering source, high-pressure gas cleaning device, sample-preparation module, sampling module, etc.), which gave the best direct measurement for C, H, Si, Na, Mg, Fe, Al, and Ti with measurement errors less than 10% for pulverized coal. Therefore, the apparatus is accurate enough to be applied to industries for on-line monitoring of pulverized coal. The method of proximate analysis was also introduced and the experimental error of Aad (Ash, ‘ad’ is an abbreviation for ‘air dried’) was shown in the range of 2.29 to 13.47%. The programmable logic controller (PLC) controlled on-line coal sampling equipment, which is designed based upon aerodynamics, and is capable of performing multipoint sampling and sample-preparation operation.

Raman, Infrared, and Laser-Induced Breakdown Spectroscopy Identification of Particles in Raw Materials

2017 ◽  
Vol 72 (2) ◽  
pp. 305-315
Author(s):  
Kathryn Lee ◽  
Markus Lankers ◽  
Oliver Valet
Keyword(s):  
Raw Materials ◽  
Particle Identification ◽  
Raw Material ◽  
Laser Induced Breakdown Spectroscopy ◽  
Chemical Components ◽  
Process Conditions ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Complementary Techniques ◽  
Physical And Chemical

Raw materials need to be of a certain quality with respect to physical and chemical composition. They also need to have no contaminants, including particles, because these could indicate raw material impurities or contaminate the product. Particle identification allows determination of process conditions that caused them and whether the quality of the final product is acceptable. Particles may appear to the eye to be very different things than they actually are. They may be coated with the raw material and may consist of several components; therefore, chemical and elemental analyses are required for accuracy in proper identification and definitive information about their source. Thus, microscope versions of Raman spectroscopy, laser-induced breakdown spectroscopy (LIBS), and infrared (IR) spectroscopy are excellent tools for identifying particles in materials. Those tools are fast and accurate, and can provide chemical and elemental composition as well as images that can aid identification. The micro-analysis capabilities allow for easy analysis of different portions of samples so that multiple components can be identified and sample preparation can be reduced or eliminated. The differences in sensitivities of Raman and IR spectroscopies to different functional groups as well as the elemental analysis provided by LIBS and the image analysis provided by the microscopy makes these complementary techniques and provides the advantage of identifying various chemical components. Proper spectral searching techniques and interpretation of the results are important for interpretation and identification of trace contaminants.

Development of a Laboratory Cement Quality Analysis Apparatus Based on Laser-Induced Breakdown Spectroscopy

2015 ◽  
Vol 17 (11) ◽  
pp. 897-903 ◽  
Author(s):  
Juanjuan Fan ◽  
Lei Zhang ◽  
Xin Wang ◽  
Yufang Li ◽  
Yao Gong ◽  
...  
Keyword(s):  
Quality Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Provenance study of volcanic glass using 266–1064 nm orthogonal double pulse laser induced breakdown spectroscopy

2013 ◽  
Vol 67 (5) ◽  
Author(s):  
Aleš Hrdlička ◽  
Lubomír Prokeš ◽  
Michaela Galiová ◽  
Karel Novotný ◽  
Anna Vitešníková ◽  
...  
Keyword(s):  
Laser Beam ◽  
Pulse Laser ◽  
Volcanic Glass ◽  
Double Pulse ◽  
Raw Material ◽  
Laser Induced Breakdown Spectroscopy ◽  
Pulse Technique ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown ◽  
Double Pulse Laser

AbstractDouble pulse laser induced breakdown spectroscopy in orthogonal configuration was used for the analysis of twelve samples of volcanic glass. Raw material and artifact samples originated from Czech, Slovak, German, Hungarian, Greek, Turkish, and Ukrainian sites. The primary 266 nm laser beam was focused onto a sample area of about 0.1 mm in diameter at the optimised energy of 10 mJ resulting in only very slight sample damage, almost unrecognizable even by a microscope. The secondary 1064 nm laser beam, positioned parallel to the sample surface and focused onto the intersection with the primary beam, induced a spark with enhanced radiation at the optimised energy of 100 mJ. Measurement of emission lines selected on basis of chemical composition, signal intensity, signal-to-background ratio, and minimum interference from the surrounding spectra: Si(I) 288.16 nm, Mg(II) 279.55 nm, 280.27 nm, Mg(I) 285.21 nm, Ca(II) 317.93 nm, Na(I) 589.59 nm, Al(I) 308.22 nm, Fe(II) 259.94 nm, Ti(II) 334.94 nm, Sr(II) 407.77 nm, Ba(II) 455.40 nm, K(I) 769.90 nm, provided experimental data sufficiently sensitive to differentiate the properties of the studied samples. Rare earth elements were not detected even though the double pulse technique is more sensitive than the single pulse variant. Visualisation methods of multidimensional statistical analyses such as radar chart, Chernoff faces, scatterplots, and the Spearman correlation matrix provided successful differentiation of the sample groups and/or particular samples by their origin.

Development of a Rapid Coal Analyzer Using Laser-Induced Breakdown Spectroscopy (LIBS)

2018 ◽  
Vol 72 (8) ◽  
pp. 1225-1233 ◽  
Author(s):  
Shunchun Yao ◽  
Juehui Mo ◽  
Jingbo Zhao ◽  
Yuesheng Li ◽  
Xiang Zhang ◽  
...  
Keyword(s):  
Standard Deviation ◽  
Power Plants ◽  
Calorific Value ◽  
Utilization Efficiency ◽  
Quality Analysis ◽  
Laser Induced Breakdown Spectroscopy ◽  
Accurate Analysis ◽  
Coal Quality ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Determination of coal quality plays a major role in coal-fired power plants and coal producers for optimizing the utilization efficiency and controlling the quality. In this work, a rapid coal analyzer based on laser-induced breakdown spectroscopy (LIBS) was developed for rapid quality analysis of pulverized coal. The structure of the LIBS apparatus was introduced in detail. To avoid time-consuming and complicated sample preparation, a pulverized feeding machine was designed to form a continuously stable coal particle flow. The standard deviation (SD) of characteristic peaks was used to estimate the spectral valid data in this experiment. Coupled with cluster analysis, artificial neural networks and genetic algorithm are employed as a nonlinear regression method in order to indicate the relationship between coal quality and the corresponding plasma spectra. It is shown that the average absolute error of ash, volatile matter, fixed carbon, and gross calorific value for the validation set is 0.82%, 0.85%, 0.96%, and 0.48 MJ/kg. The average standard deviation of repeated samples is 1.64%, 0.92%, 1.08%, and 0.86 MJ/kg, showing a high sample-to-sample repeatability. This rapid coal analyzer is capable of performing reliable and accurate analysis of coal quality.

Determination of fluorine in copper concentrate via CaF molecule using Laser-induced breakdown spectroscopy

2021 ◽  
Author(s):  
Zhiyang Tang ◽  
Ran Zhou ◽  
Ke Liu ◽  
Zhongqi Hao ◽  
Kun Liu ◽  
...  
Keyword(s):  
Raw Material ◽  
Ecological Environment ◽  
Laser Induced Breakdown Spectroscopy ◽  
Copper Concentrate ◽  
Breakdown Spectroscopy ◽  
Laser Induced Breakdown

Copper concentrate is the main raw material for smelting copper, but some harmful elements will accelerate the damage of the smelting equipment and affect the ecological environment, fluorine element is...

Nanosecond laser-induced breakdown assisted by femtosecond laser pre-ionization in air: the effect on spatial resolution and continuous radiation

2020 ◽  
Vol 92 (2) ◽  
pp. 20701
Author(s):  
Bo Li ◽  
Xiaofeng Li ◽  
Zhifeng Zhu ◽  
Qiang Gao
Keyword(s):  
Femtosecond Laser ◽  
Spatial Resolution ◽  
Laser Induced Breakdown Spectroscopy ◽  
Nanosecond Laser ◽  
Breakdown Threshold ◽  
Powerful Technique ◽  
Breakdown Spectroscopy ◽  
Continuous Radiation ◽  
Laser Induced Breakdown

Laser-induced breakdown spectroscopy (LIBS) is a powerful technique for quantitative diagnostics of gases. The spatial resolution of LIBS, however, is limited by the volume of plasma. Here femtosecond-nanosecond dual-pulsed LIBS was demonstrated. Using this method, the breakdown threshold was reduced by 80%, and decay of continuous radiation was shortened. In addition, the volume of the plasma was shrunk by 85% and hence, the spatial resolution of LIBS was significantly improved.

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