Designing High-Performance Cellulose-Nanofiber Thermoplastic Polymer Composites Through Multi-Scale MD Simulations

ORAL

Abstract

Cellulose nanofibers (CNFs) are excellent reinforcing materials for high-performance polymer nanocomposites due to their exceptional mechanical strength and sustainability. Improving their compatibility with polymer matrices, however, is challenging due to the strong inter-CNF interactions resulting in irreversible agglomeration. We performed classical and coarse-grained molecular dynamics (MD) simulations of native and surface-modified CNFs in thermoplastic polymer matrices: polypropylene, polyethylene terephthalate glycol, polylactic acid and poly-(3-hydroxybutyrate) that are promising candidates for bio-based 3-D printed nanocomposites. We computed CNF-polymer interaction energies and radial distribution functions using atomistic models to understand the molecular interactions between various groups in CNFs and the polymer chains. We further evaluated tensile modulus of these nanocomposites under varying fiber alignment conditions using non-equilibrium coarse-grained MD simulations to investigate the effect of CNF-polymer interactions on the tensile strength and failure mode. We observe a significant change in mechanical strength and CNF-polymer interaction energies with varying surface modifications and polymer matrices. Our predictions provide valuable insights for designing high-performance bio nanocomposites through a fundamental understanding of physico-chemical interactions in these materials.

* Funded by Office of Energy Efficiency and Renewable Energy CPS Agreement Number: 38563

Publication: Planned to submit:
1. Multi-scale molecular dynamics simulations of cellulose nanofiber-thermoplastic nanocomposites for high-performance applications.
2. Molecular modeling of surface-modified cellulose nanofiber-polymer nanocomposites to modulate fundamental interactions and mechanical strength.

Presenters

  • Shalini Jayaraman Rukmani

    University of Tennessee/Oak Ridge National Laboratory

Authors

  • Shalini Jayaraman Rukmani

    University of Tennessee/Oak Ridge National Laboratory

  • Vaidyanathan M Sethuraman

    Oak Ridge National Lab

  • Monojoy Goswami

    Oak Ridge National Lab

  • Soydan Ozcan

    Oak Ridge National Lab

  • Jeremy C Smith

    University of Tennessee/Oak Ridge National Lab