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Reverse Design of High Strength and High Modulus Epoxy Resin Systems Through Computational Modeling with Experimental
Yilin Tang1, Shipeng Zhu1, Boya Zhang1
1Key Laboratory of Advanced Functional Composites, Aerospace Research Institute of Materials & Processing Technology, Beijing 100076, China.
High-strength epoxy resins were developed using an AI-driven reverse design strategy for advanced composites. Optimized formulations achieved excellent mechanical properties and thermal stability, crucial for aerospace applications.
Area of Science:
- Materials Science
- Polymer Chemistry
- Composite Materials
Background:
- Epoxy resins are critical for high-performance carbon-fiber-reinforced polymer composites used in aerospace.
- Developing epoxy systems with superior strength and modulus is essential for demanding applications.
Purpose of the Study:
- To develop optimal epoxy resin systems using a reverse design strategy guided by an AI polymer platform.
- To establish structure-property relationships for enhanced epoxy resin formulations.
Main Methods:
- Utilized a reverse design strategy based on AI-generated ideal polymer structures.
- Formulated epoxy systems with m-phenylenediamine (MPD) and modified curing agents (DETDA, DDM, TETA).
- Characterized thermal and rheological properties using differential scanning calorimetry (DSC) and rheological analysis.
Main Results:
- Optimized activation energy ranged from 55.95-63.42 kJ/mol with processing viscosity ≤500 mPa·s at 80 °C.
- Established a stepwise curing protocol (3 h@80 °C, 2 h@120 °C, 3 h@180 °C) for complete crosslinking.
- The epoxy system with 10% DDM exhibited a tensile strength of 132.6 MPa, modulus of 5.0 GPa, and glass transition temperature of 253.1 °C.
Conclusions:
- The study successfully bridged molecular design with macroscopic performance in epoxy resins.
- The developed epoxy systems offer a paradigm for next-generation materials in high-end engineering sectors.
- This AI-driven approach facilitates the rational design of polymers for extreme operational demands.
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