文献类型：期刊文献

英文题名：Effect of introducing oxygen into ethylene tar pitches on their carbonaceous products

作者：Chen, Rongqi[1];Zhang, Yongzheng[1];Wang, Yanli[1];Shen, Chunyin[1];Zhan, Liang[1];Ling, Licheng[1]

机构：[1]East China Univ Sci & Technol, Minist Educ, State Key Lab Green Chem Engn & Ind Catalysis, Shanghai Key Lab Multiphase Mat Chem Engn,Key Lab, Shanghai 200237, Peoples R China

年份：2024

卷号：76

起止页码：135

外文期刊名：CHINESE JOURNAL OF CHEMICAL ENGINEERING

收录：;EI(收录号：20244817423853);WOS:【SCI-EXPANDED(收录号:WOS:001367433600001)】；

基金：This work was financially supported by the National Natural Science Foundation of China (22075081, 52372045 and U1710252) , the Fundamental Research Funds for the Central Universities (JKD01231701) , China Postdoctoral Science Founda-tion (2023M731084) , Shanghai Sailing Program of China (23YF1408900) .

语种：英文

外文关键词：Fuel; Oxidation; Ethylene tar pitch; Carbonization; Hard carbon; Chemical processes

摘要：Ethylene tar is a prospective precursor for preparing carbonaceous materials, which is regarded as a representative soft carbon material after carbonization. However, the introduction of oxygen can influence the morphology of the final carbonaceous materials. For the introduction of oxygen, dealkylation and dehydrogenation will be promoted and the molecules can be linked more effectively. For the subsequent carbonization, the biphenyl structures caused by the deoxygenation via the elimination of CO2, as well as the reserved aromatic ether bonds, can facilitate the strong cross-linking, which will restrain the movement of the carbon layers and the formation of the graphitic structures. After the graphitization treatment at 2800 degrees C, the oxidized pitch can lead to short-range ordered and long-range unordered structures, while the sample without oxidation can result in long-range ordered graphitic structures. It can be proved that a simple oxidation-carbonization treatment can transform ethylene tar into hard carbon structures. (c) 2024 The Chemical Industry and Engineering Society of China, and Chemical Industry Press Co., Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies.