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| Quantitative Analysis of Refined Pitches by Curve-Fitting of Fourier Transform Infrared Spectroscopy Spectrum |
| ZHU Ya-ming1, GAO Li-juan1, ZHAO Xue-fei1*, Lü Jun1, 2 |
1. Engineering Research Center of Advanced Coal Coking and Efficient Use of Coal Resources, University of Science and Technology Liaoning, Anshan 114051, China
2. College of Chemistry and Chemical Engineering, Qiqihar University, Qiqihar 161006, China |
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Abstract High temperature coal tar pitch is a kind of high quality raw material to produce carbon materials. However, coal tar pitches without refining treatment was not suitable to produce such high quality carbon materials. Actually, refining treatment is an important way to adjust the molecular weight distribution, aromatic structure, and aliphatic side chain structure of coal tar pitch. Refining treatment is a precondition to produce carbon materials which is easy to graphitize with coal tar pitch as the raw material. In this study, four kinds of refined pitches numbered as RP-1, RP-2, RP-3 and RP-4 have been obtained by two kinds of preparation methods with the medium pitch and modified pitch as the raw materials, respectively. The refined pitches have been studied by Fourier Transform infrared spectroscopy (FTIR) and curve-fitting analysis in order to gain additional information on the comparation of these four refined pitches. The curve-fitted data provide quantitative evidence of aromaticity(Iar), length of aliphatic chain(CH3/CH2), distribution of OH groups, and oxygen-containing functional groups with different refined pitches. The results have showed that: these four kinds of refined pitches has a larger aromatic condensation degree. RP-3 has the highest aromaticity index of 0.9. RP-4 has the Index of the branched chain of 0.07, which means that RP-4 have a long aliphatic chain. The distribution of OH groups in refined pitches was significantly different. The results can provide a theoretical support for the selected raw materials in the preparation of carbon/graphite materials.
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Received: 2017-03-27
Accepted: 2017-10-09
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Corresponding Authors:
ZHAO Xue-fei
E-mail: zhao_xuefei@163.com
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