|
|
|
|
|
|
| Quantitative Analysis of Structure Changes on Refined Coal Tar Pitch with Curve-Fitted of FTIR Spectrum in Thermal Conversion Process |
| ZHU Ya-ming1, 2, ZHAO Xue-fei1, 2*, GAO Li-juan1, CHENG Jun-xia1 |
1. Engineering Research Center of Advanced Coal Coking and Efficient Use of Coal Resources, Institute of Chemical Engineering, University of Science and Technology Liaoning, Anshan 114051, China
2. Liaoning Province Key Laboratory of Chemical Metallurgy, University of Science and Technology Liaoning, Anshan 114051, China |
|
|
|
|
Abstract Refined coal tar pitch (QI＜0.2%) was used as the raw materials to produce coal-based needle coke. The quality of coal-based needle coke was decided by the thermal conversion properties of refined coal tar pitch. In this study, FTIR spectrum combined with curve-fitted method were used to quantitative analysis the structure changes of refined coal tar pitch in different thermal conversion temperature. The aromaticity index (Iar), branched index (CH3/CH2), contents of each basic function-groups (C==O, C==C, and C—O), and the species of aromatic substitution have been studied. The results showed that: The Iar and CH3/CH2 index of refined coal tar pitch increased with the increase of thermal conversion temperature. It meant that the rupture of the Branched chain may cause the production of active site, and the active site was one of the reasons to induce the aromatic rings increase. With the increase of thermal conversion temperature, the contents of C==O decreased from 26.25% to 15.62%, the contents of C==C improved from 43.39% to 51.28%, and the contents of C—O remained essentially unchanged. It means that, C==O groups were another important reason to induce the occurrence of the condensation reaction of large molecule aromatic ring. The contents of 1H and 3H were decreased, but the content of 4H was increased, which indicated that, the aromatic substitution was also decreased, and the aromaticity improved. This phenomenon was match up to the Iar analysis.
|
|
Received: 2017-08-20
Accepted: 2018-01-12
|
|
|
|
Corresponding Authors:
ZHAO Xue-fei
E-mail: zhao_xuefei@163.com
|
|
[1] XIE Xiao-ling, CAO Qing, GUO Liang-chen, et al(解小玲, 曹 青, 郭良辰, 等). Journal of Inorganic Materials(无机材料学报), 2014, 29(9): 979.
[2] SUN Quan, WANG Bao-cheng, ZHANG Huai-ping, et al(孙 权, 王保成, 张怀平, 等). New Carbon Materials(新型炭材料), 2011, 29(9): 429.
[3] Craddock J D, Rantell T D, Hower J C. Fuel, 2017, 187: 229.
[4] Huang S l, Guo H J, Wang Z X, et al. Journal of Solid State Electrochemistry, 2013, 17: 1401.
[5] Wang J Z, Wang L Q, Chen M M, et al. New Carbon Materials, 2015, 30(2): 141.
[6] LUO Zhong-yang, WANG Shao-peng, FANG Meng-xiang, et al(洛仲泱, 王少鹏, 方梦祥, 等). Chemical Industry and Engineering Progress(化工进展), 2016, 35(2): 611.
[7] ZHU Ya-ming, ZHAO Xue-fei, GAO Li-juan, et al(朱亚明, 赵雪飞, 高丽娟, 等). Spectroscopy and Spectral Analysis(光谱学与光谱分析), 2017, 37(6): 1919.
[8] GAO Cheng-feng, WANG Bao-cheng, WANG Shu-gang, et al(高成凤, 王保成, 王树岗, 等). Journal of University of Science and Technology Beijing(北京科技大学学报), 2013, 35(1): 91.
[9] ZHU Ya-ming, ZHAO Xue-fei, CHENG Jun-xia, et al(朱亚明, 赵雪飞, 程俊霞, 等). Materials Review(材料导报), 2017, 31(6): 109.
[10] Meng F R, Yu J L, Tahmasebi A, et al. Energy Fuels, 2014, 28: 275.
[11] Zhu Y M, Zhao X F, Gao L J, et al. Journal of Materials Science, 2016, 51(17): 8098.
[12] Zhu Y M, Zhao X F, Gao L J, et al. Journal of Chemical Society of Pakistan, 2018, 40(2): 343. |
| [1] |
WANG Gan-lin1, LIU Qian1, LI Ding-ming1, YANG Su-liang1*, TIAN Guo-xin1, 2*. Quantitative Analysis of NO-3，SO2-4，ClO-4 With Water as Internal Standard by Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1855-1861. |
| [2] |
YU Zhi-rong, HONG Ming-jian*. Near-Infrared Spectral Quantitative Analysis Network Based on Grouped Fully Connection[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1735-1740. |
| [3] |
MA Fang1, HUANG An-min2, ZHANG Qiu-hui1*. Discrimination of Four Black Heartwoods Using FTIR Spectroscopy and
Clustering Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1915-1921. |
| [4] |
ZHANG Dian-kai1, LI Yan-hong1*, ZI Chang-yu1, ZHANG Yuan-qin1, YANG Rong1, TIAN Guo-cai2, ZHAO Wen-bo1. Molecular Structure and Molecular Simulation of Eshan Lignite[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(04): 1293-1298. |
| [5] |
ZHOU Jun1, 2, YANG Yang2, YAO Yao2, LI Zi-wen3, WANG Jian3, HOU Chang-jun1*. Application of Mid-Infrared Spectroscopy in the Analysis of Key Indexes of Strong Flavour Chinese Spirits Base Liquor[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 764-768. |
| [6] |
WANG Fang-fang1, ZHANG Xiao-dong1, 2*, PING Xiao-duo1, ZHANG Shuo1, LIU Xiao1, 2. Effect of Acidification Pretreatment on the Composition and Structure of Soluble Organic Matter in Coking Coal[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 896-903. |
| [7] |
HU Chao-shuai1, XU Yun-liang1, CHU Hong-yu1, CHENG Jun-xia1, GAO Li-juan1, ZHU Ya-ming1, 2*, ZHAO Xue-fei1, 2*. FTIR Analysis of the Correlation Between the Pyrolysis Characteristics and Molecular Structure of Ultrasonic Extraction Derived From Mid-Temperature Pitch[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(03): 889-895. |
| [8] |
YANG Jiong1, 2, QIU Zhi-li1, 4*, SUN Bo3, GU Xian-zi5, ZHANG Yue-feng1, GAO Ming-kui3, BAI Dong-zhou1, CHEN Ming-jia1. Nondestructive Testing and Origin Traceability of Serpentine Jade From Dawenkou Culture Based on p-FTIR and p-XRF[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 446-453. |
| [9] |
LI Yuan1, 2, SHI Yao2*, LI Shao-yuan1*, HE Ming-xing3, ZHANG Chen-mu2, LI Qiang2, LI Hui-quan2, 4. Accurate Quantitative Analysis of Valuable Components in Zinc Leaching Residue Based on XRF and RBF Neural Network[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 490-497. |
| [10] |
FU Juan, MO Jia-mei, YU Yi-song, ZHANG Qing-zong, CHEN Xiao-li, CHEN Pei-li, ZHANG Shao-hong, SU Qiu-cheng*. Experimental Study on the Structure Characteristics of CO2 in Gas Hydrate by Solid-State Nuclear Magnetic Resonance and Raman Spectroscopy[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(02): 464-469. |
| [11] |
YU Feng-ping1, LIN Jing-jun1*, LIN Xiao-mei1, 3*, LI Lei1,2*. Detection of C Element in Alloy Steel by Double Pulse Laser Induced Breakdown Spectroscopy With a Multivariable GA-BP-ANN[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(01): 197-202. |
| [12] |
WANG Xiao-bin1, 2, 3, ZHANG Xi1, GUAN Chen-zhi1, HONG Hua-xiu1, HUANG Shuang-gen2*, ZHAO Chun-jiang3. Quantitative Detection of Ascorbic Acid Additive in Flour Based on Raman Imaging Technology[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3765-3770. |
| [13] |
HE Xiong-fei1, 2, HUANG Wei3, TANG Gang3, ZHANG Hao3*. Mechanism Investigation of Cement-Based Permeable Crystalline Waterproof Material Based on Spectral Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3909-3914. |
| [14] |
LIU Jia-cheng1, 2, HU Bing-liang1, YU Tao1*, WANG Xue-ji1, DU Jian1, LIU Hong1, LIU Xiao1, HUANG Qi-xing3. Nonlinear Full-Spectrum Quantitative Analysis Algorithm of Complex Water Based on IERT[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(12): 3922-3930. |
| [15] |
LIN Xiao-mei1, WANG Xiao-meng1, HUANG Yu-tao1*, LIN Jing-jun2*. PSO-LSSVM Improves the Accuracy of LIBS Quantitative Analysis[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2021, 41(11): 3583-3587. |
|
|
|
|
