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Modelling water diffusion in plasticizers: development and optimization of a force field for 2,4-dinitroethylbenzene
Lisa A Richards1, Anthony Nash2, Andrew Willetts3
1Department of Chemistry, University College London 20 Gordon Street London WC1H 0AJ UK lisa.richards.14@ucl.ac.uk DeLeeuwN@cardiff.ac.uk.
A new force field accurately models energetic plasticizers and nitrocellulose binders. This computational approach helps predict water diffusion, crucial for understanding material stability during storage.
Area of Science:
- Computational Chemistry
- Materials Science
- Chemical Engineering
Background:
- Energetic plasticizers like K10 and R8002 are vital components in nitrocellulose binders.
- Nitrocellulose binders are susceptible to decomposition, particularly when dry, impacting material stability.
- Understanding water diffusion is key to predicting and mitigating decomposition pathways.
Purpose of the Study:
- To develop and validate a classical all-atom force field for 2,4,6-trinitroethylbenzene and 2,4-dinitroethylbenzene.
- To apply the developed force field to molecular dynamics simulations of pure and mixed plasticizer systems.
- To calculate water diffusion coefficients in nitrocellulose binder components to inform stability assessments.
Main Methods:
- Electronic and geometry optimization for deriving bonding parameters and partial charges.
- Parameterization using literature values for nitroaromatic compounds, adjusted for accuracy.
- Molecular dynamics simulations to calculate water diffusion coefficients at 298 K and 338 K.
Main Results:
- A validated classical all-atom force field was successfully developed for key nitroaromatic compounds.
- The force field accurately reproduced the densities of the studied molecules and plasticizers.
- Water diffusion coefficients were calculated for the plasticizers and nitrocellulose binder components.
Conclusions:
- The developed force field provides a reliable tool for simulating energetic plasticizers and nitrocellulose binders.
- The calculated water diffusion data offers initial insights into water behavior within these systems.
- This study lays the groundwork for predicting material stability and degradation mechanisms in energetic binders.
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