光谱学与光谱分析 |
|
|
|
|
|
Influence of Flame Emission Spectroscopy on K measurement Using Laser Induced Breakdown Spectroscopy |
ZHANG Zhi-hao1, SONG Qiang1*, Zeyad T. Alwahabi2, YAO Qiang1 |
1. Key Laboratory of Thermal Science and Power Engineering of Ministry of Education, Department of Thermal Engineering, Tsinghua University, Beijing 100084, China 2. School of Chemical Engineering, University of Adelaide, South Australia 5005, Australia |
|
|
Abstract During the combustion of coal or biomass, the inherent alkali metals in the fuel will be released to the gas phase. The released alkali species condensed during the cooling of the flue gas, which may subsequently cause problems with ash deposition and corrosion in thermal fuel conversion systems. Laser Induced Breakdown Spectroscopy (LIBS) is an effective technique to measure the alkali species in the plume of burning coal or biomass. In this study, an LIBS experimental system with a flat flame burner was set up, and the Flame Emission Spectroscopy (FES) and LIBS of K in the flat flame environment were measured using different ICCD gate-width times. The experimental results revealed that with the same ICCD gate-width time, the LIBS intensity of K was higher than the FES intensity of K in the flat flame. With the increase of the ICCD gate-width time, both intensities increased, but their increase rates were different: the increase rate of the LIBS intensity of K was firstly fast then became slow, but the increase rate of the FES intensity of K was constant. Furthermore, the intensity ratio of LIBS to FES of K increased monotonically with the ICCD gate-width time in the range of 0~8 μs, until reaching approximately 4. Then, further increasing the ICCD gate-width time, such ratio decreased slowly with an asymptote value of 1. After analyzing the influences of the FES on the LIBS measurement of K in a flame condition, it is proposed that to minimize such influence, the optimization of the ICCD gate-width time was necessary, which maximized the intensity ratio of LIBS to FES of K and facilitated the measurement accuracy of K in the flame environment using LIBS.
|
Received: 2014-04-13
Accepted: 2014-07-25
|
|
Corresponding Authors:
SONG Qiang
E-mail: qsong@tsinghua.edu.cn
|
|
[1] Baxter L, Miles R, Miles R Jr., et al. Fuel Process. Technol., 1998, 54(1-3): 47. [2] Knudsen J N, Jensen P A, Dam-Johansen K. Energy Fuels, 2004, 18(5): 1385. [3] Li C Z. Fuel, 2007, 86(12-13): 1664. [4] Zhang Z H, Song Q, Yao Q, et al. Energy Fuels, 2012, 26(3): 1892. [5] Hahn D W, Omenetto N. Appl. Spectrosc., 2010, 64(12): 335A. [6] Hahn D W, Omenetto N. Appl. Spectrosc., 2012, 66(4): 347. [7] Cremers D A, Radziemski L J. Laser-Induced Breakdown Spectroscopy (LIBS): Fundamentals and Applications. Cambridge: Cambridge University Press, 2006. [8] SHAO Yan, ZHANG Yan-bo, GAO Xun, et al(邵 妍,张艳波,高 勋,等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2013, 33(10): 2593. [9] Blevins L, Shaddix C, Sickafoose S, et al. Appl. Optics, 2003, 42(30): 6107. [10] Molina A, Walsh P, Shaddix C, et al. Appl. Optics, 2006, 45(18): 4411. [11] He Y, Zhu J, Li B, et al. Energy Fuels, 2013, 27(2): 1123. [12] Hsu L J, Alwahabi Z T, Nathan G J, et al. Appl. Spectrosc., 2011, 65(6): 684. [13] Winefordner J D, McGee W W, Mansfield J M, et al. Anal. Chim. Acta., 1966, 36: 25. |
[1] |
LIU Jia1, 2, GUO Fei-fei2, YU Lei2, CUI Fei-peng2, ZHAO Ying2, HAN Bing2, SHEN Xue-jing1, 2, WANG Hai-zhou1, 2*. Quantitative Characterization of Components in Neodymium Iron Boron Permanent Magnets by Laser Induced Breakdown Spectroscopy (LIBS)[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2024, 44(01): 141-147. |
[2] |
YANG Wen-feng1, LIN De-hui1, CAO Yu2, QIAN Zi-ran1, LI Shao-long1, ZHU De-hua2, LI Guo1, ZHANG Sai1. Study on LIBS Online Monitoring of Aircraft Skin Laser Layered Paint Removal Based on PCA-SVM[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(12): 3891-3898. |
[3] |
SUN Cheng-yu1, JIAO Long1*, YAN Na-ying1, YAN Chun-hua1, QU Le2, ZHANG Sheng-rui3, MA Ling1. Identification of Salvia Miltiorrhiza From Different Origins by Laser
Induced Breakdown Spectroscopy Combined with Artificial Neural
Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3098-3104. |
[4] |
LIU Shu1, JIN Yue1, 2, SU Piao1, 2, MIN Hong1, AN Ya-rui2, WU Xiao-hong1*. Determination of Calcium, Magnesium, Aluminium and Silicon Content in Iron Ore Using Laser-Induced Breakdown Spectroscopy Assisted by Variable Importance-Back Propagation Artificial Neural Networks[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(10): 3132-3142. |
[5] |
LI Chang-ming1, CHEN An-min2*, GAO Xun3*, JIN Ming-xing2. Spatially Resolved Laser-Induced Plasma Spectroscopy Under Different Sample Temperatures[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2032-2036. |
[6] |
ZHAO Yang1, ZHANG Lei2, 3*, CHENG Nian-kai4, YIN Wang-bao2, 3*, HOU Jia-jia5, BAI Cheng-hua1. Research on Space-Time Evolutionary Mechanisms of Species Distribution in Laser Induced Binary Plasma[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2067-2073. |
[7] |
WANG Bin1, 2, ZHENG Shao-feng2, GAN Jiu-lin1, LIU Shu3, LI Wei-cai2, YANG Zhong-min1, SONG Wu-yuan4*. Plastic Reference Material (PRM) Combined With Partial Least Square (PLS) in Laser-Induced Breakdown Spectroscopy (LIBS) in the Field of Quantitative Elemental Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2124-2131. |
[8] |
HU Meng-ying1, 2, ZHANG Peng-peng1, 2, LIU Bin1, 2, DU Xue-miao1, 2, ZHANG Ling-huo1, 2, XU Jin-li1, 2*, BAI Jin-feng1, 2. Determination of Si, Al, Fe, K in Soil by High Pressure Pelletised Sample and Laser-Induced Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(07): 2174-2180. |
[9] |
WU Shu-jia1, 2, YAO Ming-yin2, 3, ZENG Jian-hui2, HE Liang2, FU Gang-rong2, ZENG Yu-qi2, XUE Long2, 3, LIU Mu-hua2, 3, LI Jing2, 3*. Laser-Induced Breakdown Spectroscopy Detection of Cu Element in Pig Fodder by Combining Cavity-Confinement[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(06): 1770-1775. |
[10] |
YUAN Shu, WU Ding*, WU Hua-ce, LIU Jia-min, LÜ Yan, HAI Ran, LI Cong, FENG Chun-lei, DING Hong-bin. Study on the Temporal and Spatial Evolution of Optical Emission From the Laser Induced Multi-Component Plasma of Tungsten Carbide Copper Alloy in Vacuum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1394-1400. |
[11] |
WANG Qiu, LI Bin, HAN Zhao-yang, ZHAN Chao-hui, LIAO Jun, LIU Yan-de*. Research on Anthracnose Grade of Camellia Oleifera Based on the Combined LIBS and Fourier Transform NIR Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1450-1458. |
[12] |
CHAI Shu1, PENG Hai-meng1, WU Wen-dong1, 2*. Acoustic-Based Spectral Correction Method for Laser-Induced Breakdown Spectroscopy in High Temperature Environment[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(05): 1401-1407. |
[13] |
NING Qian-qian, YANG Jia-hao, LIU Xiao-lin, HE Yu-han, HUANGFU Zhi-chao, YU Wen-jing, WANG Zhao-hui*. Design and Study of Time-Resolved Femtosecond Laser-Induced
Breakdown Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1083-1087. |
[14] |
DING Kun-yan1, HE Chang-tao2, LIU Zhi-gang2*, XIAO Jing1, FENG Guo-ying1, ZHOU Kai-nan3, XIE Na3, HAN Jing-hua1. Research on Particulate Contamination Induced Laser Damage of Optical Material Based on Integrated Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(04): 1234-1241. |
[15] |
SU Yun-peng, HE Chun-jing, LI Ang-ze, XU Ke-mi, QIU Li-rong, CUI Han*. Ore Classification and Recognition Based on Confocal LIBS Combined With Machine Learning[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 692-697. |
|
|
|
|