|
|
|
|
|
|
FTIR Analysis of the Correlations Between Viscous Fluid Flow Characteristics and Molecular Structure of Mixed Oil during Coal-Based Needle Coke Production |
CHENG Jun-xia, ZHU Ya-ming, GAO Li-juan, LAI Shi-quan, ZHAO Xue-fei* |
College of Chemical Engineering, University of Science and Technology Liaoning, Anshan 114051, China |
|
|
Abstract During the production of coal-based needle coke, the performance of the mixed oil fluctuates continuously in a coking cycle due to the delayed coking process. How to stabilize the performance of mixed oil is a key factor in ensure the uniformity of needle coke quality. The difference in the properties of mixed oil is mainly reflected in the change of viscosity. In order to quantitatively analysis of the change of mixed oil, the mixed oil with different continuous feeding time in the same production cycle has been detailed analyzed in this study. Briefly, the Fourier Transform Infrared Spectroscopy (FTIR) analyzer and the rotational viscometer have been used as the detection means, and six kinds of molecular structural parameters which calculated from the various range of FTIR spectrum (700~900, 1 550~1 650, 2 800~3 000 and 3 000~3 100 cm-1, respectively) were used as the significant factors to characterized the mixed oil. The correlation between the viscous fluid flow characteristics and the molecular structure of the mixed oil was discussed in detail. The results showed that FTIR spectrum analysis showed that the mixed oil was mainly composed of condensed aromatic rings with partial aliphatic side chains. The branching degree (I1) of aliphatic side chains decreased continuously, and the aromaticity (I2) in aromatic structure increased slightly in the mixed oil during the production of coal-based needle coke. However, the variation of aromatic ring condensation degree I3 and substitution of aromatic rings (I4, I5, I6) changed slightly, which indicated that the degree of condensation of blends changed little with the increase of coking time. The coexistence of multi-component complex aromatic substances in the mixed oil led to easy association among molecules, which made the initial apparent viscosity of the mixed oil was large. And the viscous fluid flow activation energy Eη increased with the prolongation of production time. In theory, the condensation aromatic rings and alkyl side chains have the greatest influence on viscous flow properties, but when I1, I2, I3 and Eη were analyzed, it was found that the goodness of fit of regression curve R2 can only reach 0.71. In fact, the branching degree of the mixed oil was low and the length of the branching chain was short. When the influence of I1 on the viscous flow activation energy was neglected, the goodness of fit R2 of the regression curve obtained by data processing of I2, I3 and Eη decreased. Considered all the molecular structure parameters and Eη for regression analysis, the goodness of fit of regression curve R2 can reach 0.98. The relationship between the viscous fluid flow characteristics and the molecular structure followed the following model:Eη=703.59-55.88I1-7.83I2+5.73I3-1 866.70I4-694.85I5-83.16I6. It can be seen that the viscous flow characteristics were the macroscopic manifestation of all the molecular structure characteristics in the complex system of mixed oil.
|
Received: 2019-05-06
Accepted: 2019-10-29
|
|
Corresponding Authors:
ZHAO Xue-fei
E-mail: zhao_xuefei@sohu.com
|
|
[1] DUAN Chun-ting, LIU Jun-qing, XU Wen-qiang, et al(段春婷, 刘均庆, 徐文强, 等). Chemical Industry and Engineering Progress(化工进展),2018, 37(1): 189.
[2] Zubkova V, Strojwas A, Kaniewski M, et al. Fuel, 2018, 217: 605.
[3] Zhang J, Sun Z, Guo Q, et al. Journal of Fuel Chemistry & Technology, 2017, 45(2): 129.
[4] Lin D, Qiu P, Xie X, et al. Energy Sources, 2017, 27: 1.
[5] Sarkar A, Kocaefe D, Kocaefe Y, et al. Fuel, 2014, 117: 598.
[6] NIU Ze-shi,WANG Yu-gao, SHEN Jun, et al(牛泽世, 王玉高, 申 峻, 等). Journal of China Coal(煤炭学报),2017, 42(5): 1311.
[7] Li M, Zeng F, Zhao Y, et al. Energy Sources, Part A: Recovery, Utilization, and Environmental Effects, 2017, 39(6): 562.
[8] Chen Y, Mastalerz M, Schimmelmann A. International Journal of Coal Geology, 2012, 104(1): 22.
[9] Torrejon M, Echeverra V, Retamales G, et al. Fuel, 1997, 76(14): 1389.
[10] Fan X, Fei Y, Chen L, et al. Energy & Fuels, 2017, 31(5): 4694.
[11] CHENG Jun-xia, ZHU Ya-ming, GAO Li-juan, et al(程俊霞, 朱亚明, 高丽娟, 等). Carbon Technology(炭素技术)2019, 38(1): 24.
[12] Lai S Q, Zhao X F, Yue L. Advanced Materials Research, 2012, 472: 427.
[13] Liu J, Zhao Y, Ren S. Energy & Fuels, 2015, 29(2): 1233.
[14] ZHU Si-yue, CHEN Shuan-fa, QIN Xian-tao, et al(祝斯月, 陈拴发, 秦先涛, 等). Journal of Materials Science and Engineering(材料科学与工程学报),2014,(6): 863.
[15] ZHOU Xin-xing, WU Shao-peng, ZHANG Xiao, et al(周新星, 吴少鹏, 张 翛, 等). Materials Report(材料导报),2018, 32(3): 483. |
[1] |
YAN Li-dong1, ZHU Ya-ming1*, CHENG Jun-xia1, GAO Li-juan1, BAI Yong-hui2, ZHAO Xue-fei1*. Study on the Correlation Between Pyrolysis Characteristics and Molecular Structure of Lignite Thermal Extract[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2023, 43(03): 962-968. |
[2] |
FAN Qing-jie, SONG Yan, LAI Shi-quan*, YUE Li, ZHU Ya-ming, ZHAO Xue-fei. XRD Structural Analysis of Raw Material Used as Coal-Based Needle Coke in the Coking Process[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2022, 42(06): 1979-1984. |
[3] |
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. |
[4] |
YUE Li, CHEN Zhao, LAI Shi-quan, ZHU Ya-ming, ZHAO Xue-fei*. Infrared Spectroscopic Quantitative Analysis of Raw Material Used as Coal-Based Needle Coke in the Coking Process[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(08): 2468-2473. |
[5] |
KONG De-ming1, 3, DONG Rui1, CUI Yao-yao2*, WANG Shu-tao1. Mixed Oil Detection Based on 3D Fluorescence Spectroscopy Combined with AWRCQLD under Different Salinity Conditions[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2020, 40(06): 1769-1774. |
[6] |
KONG De-ming1, ZHANG Chun-xiang1, CUI Yao-yao2*, LI Yu-meng1, WANG Shu-tao1, SHI Hui-chao3. Three-Dimensional Fluorescence Spectroscopy Combined with Alternating Weighted Residue Constraint Quadrilinear Decomposition Algorithm for Detection of Petroleum Mixed Oil[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(10): 3129-3135. |
[7] |
ZHANG Yan-jun1, 2, ZHANG Fang-cao1, FU Xing-hu1*, JIN Pei-jun1, HOU Jiao-ru1. Detection of Fatty Acid Content in Mixed Oil by Raman Spectroscopy Based on ABC-SVR Algorithm[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2019, 39(07): 2147-2152. |
[8] |
ZHU Ya-ming1, ZHAO Xue-fei1*, GAO Li-juan1, CHENG Jun-xia1, LÜ Jun1, 2, LAI Shi-quan1. Quantitative Study of the Microcrystal Structure on Coal Based on Needle Coke with Curve-Fitted of XRD and Raman Spectrum[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS, 2017, 37(06): 1919-1924. |
|
|
|
|