|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Multiscale Modeling of Structure-property Relationships in Highly Filled Thermoplastic Composites
||Karthik Rajan Venkatesan, John Hana, Samuel Owoeye, Ajay Kadiyala, Joseph Lawrence, Ajay Krishnamurthy
|On-Site Speaker (Planned)
||Karthik Rajan Venkatesan
A synergistic multi-scale modeling framework that captures multi-filler interactions at the microstructural level is developed to establish the structure-property relationships of injection-molded thermoplastics with graphite and carbon fiber reinforcements. Representative volumetric elements (RVEs) of the material samples are generated based on known geometrical features extracted using raw images obtained from optical and electron microscopy. Geometrical parameters such as filler orientation and size distribution are calibrated using two baseline samples containing only graphite and carbon fiber fillers, respectively. These parameters are systematically correlated to the differences in viscosities of the molded samples. The calibrated parameters and modeling strategies are then used to generate the combined filler system microstructures to capture the synergistic effects of integrating graphite and carbon fiber. The predicted mechanical and thermal properties are verified and validated for various graphite and carbon fiber weight fractions. Future pathways to improve model prediction capabilities and accuracies are presented.