热解
煤焦油
煤
tar(计算)
焦炭
碳纤维
石油焦
化学工程
干法蒸馏
材料科学
化学
有机化学
矿物学
碳化
复合材料
吸附
程序设计语言
工程类
复合数
计算机科学
作者
Joshua Malzahn,Ignacio Preciado,Ding Wang,Matthew C. Weisenberger,Eric G. Eddings
标识
DOI:10.1016/j.jaap.2022.105541
摘要
To meet the increasing demand for graphitizable carbon products, such as needle coke and carbon fiber, more carbon feedstocks capable of forming anisotropy should be utilized. Non-coking coals are widely available but are not typically suitable for producing anisotropic carbons due to lacking proper coal chemistry. This work used secondary gas-phase reactions (SGR) during coal pyrolysis to improve the coal tar chemistry of a non-coking coal for anisotropic carbon production. SGR pyrolysis temperatures and residence times were varied (T = 800–900°C and τ = 0–2.5 s), and analysis of the intermediate coal tar products showed that as these SGR pyrolysis conditions increased, the oxygen and aliphatic concentrations decreased, whereas aromatic contents and molecular weights increased. Without any SGR, microscopy of the thermally-treated coal tar pitch product revealed that the coal tar pitch was isotropic; however, upon using increased SGR pyrolysis conditions, the resulting coal tar pitch samples substantially increased in the percentage and quality of anisotropy formation. The products' analyses show clear trends of modified chemical properties in the intermediate coal tar and improved anisotropy results. Thus, the results presented in this work show that by controlling the SGR during pyrolysis of a non-coking coal, this approach can modify the coal tar chemistry towards a precursor more suitable for quality anisotropic carbon material production. • Secondary gas-phase reactions (SGR) in coal pyrolysis modified coal tar species. • SGR led to removal of up to 67% oxygen and 87% aliphatic contents in the coal tar. • Molecular weight (MW) distributions of coal tar shifted to higher MW with more SGR. • SGR modified coal tar samples led to improved anisotropy formation in pitches.
科研通智能强力驱动
Strongly Powered by AbleSci AI