Abstract
The superlative strength-to-weight ratio of carbon fibers (CFs) can substantially reduce vehicle weight and improve energy efficiency. However, most CFs are derived from costly polyacrylonitrile (PAN), which limits their widespread adoption in the automotive industry. Extensive efforts to produce CFs from low cost, alternative precursor materials have failed to yield a commercially viable product. Here, we revisit PAN to study its conversion chemistry and microstructure evolution, which might provide clues for the design of low-cost CFs. We demonstrate that a small amount of graphene can minimize porosity/defects and reinforce PAN-based CFs. Our experimental results show that 0.075 weight % graphene-reinforced PAN/graphene composite CFs exhibits 225% increase in strength and 184% enhancement in Young's modulus compared to PAN CFs. Atomistic ReaxFF and large-scale molecular dynamics simulations jointly elucidate the ability of graphene to modify the microstructure by promoting favorable edge chemistry and polymer chain alignment.
Original language | English |
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Article number | aaz4191 |
Journal | Science Advances |
Volume | 6 |
Issue number | 17 |
DOIs | |
State | Published - Apr 2020 |
Funding
We thank the staff members at the University of Virginia NMCF for electron microscopy technical support, as well as H. Luo from G. M. Geise's group and M. Diasio from D. L. Green's group in Chemical Engineering Department at the University of Virginia for TGA and viscosity test support. We thank X. Xiao (Brookhaven National Laboratory) for performing the tomography experiments. Financial support for this study was provided by the U.S. Department of Energy, Vehicle Technology Office (DE-EE0008195). B.C. is supported by the NSF Graduate Research Fellowship Program under grant no. 1315231. This research used Beamline 18-ID (FXI) of the National Synchrotron Light Source II, a U.S. Department of Energy (DOE) Office of Science User Facility operated for the DOE Office of Science by Brookhaven National Laboratory under contract no. DE-SC0012704. Computational support is provided by the NSF through the extreme science and engineering discovery environment (MSS180008).
Funders | Funder number |
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DOE Office of Science | |
University of Virginia NMCF | |
Extreme Science and Engineering Discovery Environment | MSS180008 |
National Science Foundation | 1315231 |
U.S. Department of Energy | DE-EE0008195 |
Office of Science | |
Brookhaven National Laboratory | DE-SC0012704 |
University of Virginia |