Publications by authors named "Congli Fang"
Article Synopsis
- - The study examines how aging affects the storage life of particle-filled polymer composites (PFPCs) by conducting high-temperature tests at 60 °C, 70 °C, and 80 °C to assess mechanical behavior over time.
- - A predictive model for crosslink density, based on the Arrhenius equation, was developed alongside a viscoelastic constitutive model to account for aging effects, aiding in structural analysis of a PFPC column.
- - Results show that incorporating aging effects into the analysis reduces the predicted storage life of the PFPC column from 22 years to 19 years, providing a more accurate estimation method for storage life.
In this study, the aging performance of particle-filled polymer composites (PFPCs) under thermo-oxidative conditions was investigated on multiple scales. High-temperature-accelerated tests were conducted to analyze the effects of aging time and temperature. A representative volume element (RVE) model was established for the PFPCs using a random particle-filling algorithm.
View Article and Find Full Text PDFIn this study, we developed a novel multi-scale model to predict the aging performance of particle-filled polymer composites (PFPCs) under thermo-oxidative aging conditions. To investigate the aging behavior, high-temperature accelerated aging tests were conducted in combination with macroscopic and microscopic characterization. At the microscopic level, the crosslinking density of the polymer matrix is calculated using the closed-loop chain reaction of polymer oxidation.
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