Department of Chemistry, Rice University, 6100 Main Street, Houston, Texas 77005, USA.
ACS Nano. 2013 Feb 26;7(2):1628-37. doi: 10.1021/nn305506s. Epub 2013 Jan 30.
Graphene oxide nanoribbons (GONRs) and chemically reduced graphene nanoribbons (crGNRs) were dispersed at high concentrations in chlorosulfonic acid to form anisotropic liquid crystal phases. The liquid crystal solutions were spun directly into hundreds of meters of continuous macroscopic fibers. The relationship of fiber morphology to coagulation bath conditions was studied. The effects of colloid concentration, annealing temperature, spinning air gap, and pretension during annealing on the fibers' performance were also investigated. Heat treatment of the as-spun GONR fibers at 1500 °C produced thermally reduced graphene nanoribbon (trGNR) fibers with a tensile strength of 378 MPa, Young's modulus of 36.2 GPa, and electrical conductivity of 285 S/cm, which is considerably higher than that in other reported graphene-derived fibers. This better trGNR fiber performance was due to the air gap spinning and annealing with pretension that produced higher molecular alignment within the fibers, as determined by X-ray diffraction and scanning electron microscopy. The specific modulus of trGNR fibers is higher than that of the commercial general purpose carbon fibers and commonly used metals such as Al, Cu, and steel. The properties of trGNR fibers can be further improved by optimizing the spinning conditions with higher draw ratio, annealing conditions with higher pretensions, and using longer flake GONRs. This technique is a new high-carbon-yield approach to make the next generation carbon fibers based on solution-based liquid crystal phase spinning.
氧化石墨烯纳米带(GONRs)和化学还原石墨烯纳米带(crGNRs)在高浓度下分散在氯磺酸中,形成各向异性液晶相。液晶溶液直接纺成数百米长的连续宏观纤维。研究了纤维形态与凝固浴条件的关系。还研究了胶体浓度、退火温度、纺丝气隙和退火过程中的预张力对纤维性能的影响。将未拉伸的 GONR 纤维在 1500°C 下进行热处理,得到热还原石墨烯纳米带(trGNR)纤维,其拉伸强度为 378 MPa,杨氏模量为 36.2 GPa,电导率为 285 S/cm,明显高于其他报道的石墨烯衍生纤维。这种更好的 trGNR 纤维性能归因于空气隙纺丝和预张力退火,这导致纤维内的分子排列更高,如 X 射线衍射和扫描电子显微镜所确定的。trGNR 纤维的比模量高于商业通用碳纤维和常用金属如 Al、Cu 和钢。通过优化纺丝条件(更高的拉伸比)、退火条件(更高的预张力)以及使用更长的片状 GONRs,可以进一步提高 trGNR 纤维的性能。该技术是一种基于溶液液晶相纺丝的新一代碳纤维的高碳收率方法。