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Area of Science:

  • Materials Science
  • Computational Materials Science
  • Polymer Science

Background:

  • High-performance epoxy systems are crucial for aerospace structural composites.
  • Understanding thermomechanical property evolution is key to minimizing residual stresses during processing.
  • Multiscale process modeling requires accurate property data for optimization.

Purpose of the Study:

  • Predict epoxy thermomechanical properties using molecular dynamics (MD) simulations.
  • Provide critical data for process modeling of aerospace composites.
  • Validate MD modeling protocols through experimental comparison.

Main Methods:

  • Utilized molecular dynamics (MD) simulations to predict thermomechanical properties as a function of cure degree.
  • Employed harmonic- and Morse-bond-based force fields for mechanical property prediction.
  • Conducted crosslinking simulations at relevant processing temperatures.
  • Applied multiple analysis methods for glass transition temperature (Tg) prediction from MD data.

Main Results:

  • Harmonic and Morse potentials yielded similar mechanical properties, but Morse simulations failed at intermediate strains due to cross-term energy.
  • Simulation temperature significantly impacts shrinkage evolution, necessitating simulations at processing temperatures.
  • No single analysis method showed a significant advantage for predicting glass transition temperature.

Conclusions:

  • MD simulations provide essential data for optimizing epoxy composite processing.
  • Validated MD protocols offer insights for accurate computational materials engineering (ICME).
  • Findings support the Materials Genome Initiative framework for materials development.