Abstract
The lack of curing kinetic models limits the vast application potential of the benzoxazine-modified phenolic triazine resin (PT/BZ for short). To address the challenges in characterizing and predicting curing processes, this paper applies the Šesták–Berggren model (SB model) and the polynomial model, both of which have been established and experimentally validated using dynamic differential scanning calorimetry (DSC) data. These attempts reveal limitations in existing curing methodologies and identify the causes of their deviations. Additionally, a novel model is proposed for the dynamic curing process of the PT/BZ resin, improving the curing rate data regression accuracy across the entire curing degree range. Moreover, the model demonstrates a strong capability in predicting curing degree, achieving a 51.55% reduction in forecast error relative to the SB model and a 15.70% reduction compared to the polynomial model. In addition, the model of PT resin monomer has a similar improvement effect on curing rate prediction error by the innovative modeling method. The novel models of the PT/BZ resin and the PT resin monomer serve as the basis for optimizing the curing temperature and characterizing the curing process. It offers a systematic way of modeling resin curing processes that involve multiple-step reactions.
| Original language | English |
|---|---|
| Article number | e57145 |
| Journal | Journal of Applied Polymer Science |
| Volume | 142 |
| Issue number | 28 |
| DOIs | |
| State | Published - 20 Jul 2025 |
Keywords
- PT/BZ resin
- curing kinetics
- polymer composites
- theory and modeling
- thermosets
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