Study on the spectral characteristics and analytical performance of pulverized coal using laser-induced breakdown spectroscopy under a fast physical constraint

Author(s):  
Kaiping Zhan ◽  
Ji Chen ◽  
Chao He ◽  
Zhiyang Tang ◽  
Qingzhou Li ◽  
...  

Using a new sample preparation device to improve the online analysis capability of LIBS for pulverized coal.

2009 ◽  
Vol 63 (8) ◽  
pp. 865-872 ◽  
Author(s):  
Wangbao Yin ◽  
Lei Zhang ◽  
Lei Dong ◽  
Weiguang Ma ◽  
Suotang Jia

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.


2020 ◽  
Vol 35 (5) ◽  
pp. 896-903
Author(s):  
L. Jolivet ◽  
V. Motto-Ros ◽  
L. Sorbier ◽  
T. Sozinho ◽  
C.-P. Lienemann

A laser-induced breakdown spectroscopy method, from sample preparation to data acquisition and processing, is proposed to quantitatively map carbon on heterogeneous catalyst supports.


2012 ◽  
Vol 7 (6) ◽  
pp. 714-720 ◽  
Author(s):  
Yong Zhang ◽  
Yun-Hai Jia ◽  
Jin-Wen Chen ◽  
Xue-Jing Shen ◽  
Lei Zhao ◽  
...  

2018 ◽  
Vol 10 (5) ◽  
pp. 533-540 ◽  
Author(s):  
Marco Aurelio Sperança ◽  
Mario Siméon Pomares-Alfonso ◽  
Edenir Rodrigues Pereira-Filho

In the present study, a new method to quantify Al, Cr, Fe, Mg, Mn, and Ni in nickeliferous minerals by laser-induced breakdown spectroscopy (LIBS) is proposed.


2020 ◽  
Vol 10 (7) ◽  
pp. 2617 ◽  
Author(s):  
Shan Lu ◽  
Xinwei Wang ◽  
Tianzheng Wang ◽  
Xinran Qin ◽  
Xilin Wang ◽  
...  

The composition of contamination deposited on transmission line insulators can affect their surface flashover voltage. Currently, there is no rapid on-line method to detect this contamination composition in power grids. In this paper, we applied laser-induced breakdown spectroscopy (LIBS) to analyze contamination on insulator surfaces. Usually, Na and Ca salts are found in contamination along with various sulfate, carbonate, and chloride compounds. As an element’s detection method, LIBS can only measure a certain element content, for example, Ca. The mixture of various compounds with the same cations can influence the LIBS signal. The influence of mixing ratios on the calibration curves and relative spectral intensity was studied via LIBS. Na2CO3, NaHCO3, CaSO4, and CaCO3 samples containing different proportions of Na and Ca were prepared. The linear correlation coefficients (R2) for the Na and Ca calibration curves generated using various mixing ratios were analyzed. The results showed that the mixture ratio did not dramatically affect the linear calibration curves for mixtures containing the same cations. This finding may significantly reduce the difficulty of applying LIBS analysis for complex contamination on insulators. The laser energy density had effects on the spectral characteristics of the measured elements. The partial least-square regression (PLSR) model can improve the accuracy of Na and Ca prediction.


Sign in / Sign up

Export Citation Format

Share Document