|About this Abstract
||2022 TMS Annual Meeting & Exhibition
||Additive Manufacturing: Nano/Micro-mechanics and Length-scale Phenomena
||Three-pronged Approach to Prediction of Polymer-additive System Rheology
||Scott Muller, Peiyuan Gao, Lirong Zhong, Amanda Howard, Jaehun Chun, Gregory Schenter
|On-Site Speaker (Planned)
The inclusion of molecular additives gives an extra layer of customization to 3D-printed polymers. Additives may also affect, and be affected by, the rheological properties of a polymer melt. This research seeks to develop a mechanistic understanding of dispersion of functional additives and their effect on the rheological properties under shearing relevant to 3D-printing processes. The approach is threefold: (1) experimental rheometry measurements, (2) coarse-grained simulations, and (3) uniting of measurements and simulations into a physics-informed neural network model. This approach links structural behavior at the molecular scale to experimental observations at the macroscopic scale and provides predictive capability. The additive considered is tetraphenylethylene, a mechanochromic molecule which exhibits aggregation-induced-emission (i.e., its fluorescence changes depending on its degree of dispersion). The considered polymer matrix is polyetherketoneketone, a high-performance semi-crystalline thermoplastic.
||Additive Manufacturing, Polymers, Modeling and Simulation