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Molecular Simulations of Interface-Driven Crosslinked Network Formation and Mechanical Response in Composite
Chen Ling1, Xinke Zhang1, Xin Li2
1Center for Soft Condensed Matter Physics and Interdisciplinary Research & School of Physical Science and Technology, Soochow University, Suzhou 215006, China.
This study uses molecular simulations to understand how composite propellant ingredients interact, revealing a two-step reaction mechanism. Optimizing these interactions significantly enhances propellant mechanical properties for safer aerospace and military applications.
Area of Science:
- Materials Science
- Computational Chemistry
- Chemical Engineering
Background:
- Composite solid propellants are crucial energetic materials for aerospace and military systems.
- Ensuring their safety and stability requires enhancing mechanical properties.
- Understanding interfacial interactions among propellant components is key to network formation.
Purpose of the Study:
- To investigate molecular-level interfacial interactions in composite propellants.
- To elucidate the influence of these interactions on crosslinked network formation.
- To provide a computational framework for optimizing propellant formulation.
Main Methods:
- Integrated computational framework combining coarse-grained simulations and reactive force fields.
- Molecular dynamics simulations to study interfacial reactions and mechanical properties.
- Systematic investigation of key parameters affecting performance.
Main Results:
- Elucidation of a two-step reaction mechanism at the AP interface: self-polymerization of bonding agents followed by curing agent participation.
- Identification of optimal parameters for mechanical property enhancement (~20% improvement).
- Demonstration of defect formation analysis near interfaces.
Conclusions:
- The study provides molecular-level insights into structure-property relationships in composite propellants.
- The developed computational framework enables guided optimization of propellant formulations.
- Tailored enhancement of mechanical properties is achievable through rational parameter selection.
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