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A better understanding of the relationships between nanoscale fluid dynamics of thin films and the evolution of mesoscale polyhedral structures would have a crucial impact on connecting nano-to-meso scale features in wet foams, and this research thrust (RT) is listed as RT-1. Another scientific challenge for wet foams is to build the connection between the mesoscale polyhedral structures and macroscale rheology of foams, which is listed as RT-2. Based on the PI’s preliminary innovation work on multiscale modeling of complex fluids and mesoscopic numerical methods, the PI will adopt multi-phase dissipative particle dynamics (DPD) models with different level of resolutions (different fidelity) to characterize the multiscale features of flow physics in wet foams. Specifically, high-resolution DPD models will be employed for RT-1 to investigate the impacts of surfactants and gravity on the rupture of thin films and aging of foams induced by drainage and gas diffusion. Low-resolution DPD models and a data-driven neural network approach will be used for RT-2 to study how foams’ microstructure changes the bulk rheology properties of wet foams, where computed DPD results will be taken as training data for a deep operator network (DeepONet) model to learn the effective viscoelastic equations of wet foams.
The proposed multi-fidelity framework can naturally incorporate the select-scale fluid physics into the multiphase models with consideration of intrinsic thermal fluctuations. Using this framework that tightly couples multiscale physics with state-of-the-art computational techniques, end-users of this modeling framework will be able to efficiently bridge the gap between nanoscale physics in thin films and bulk foam rheology, which will improve our fundamental understanding of the multiscale features in wet foams and help us create better foam microstructures for improved stability and lifetime of foam products. The multi-fidelity computational models for wet foams developed in this project will be compatible for integration into NASA’s ImMAC software design suite and will lead to new complex fluids applications to fulfill NASA missions.
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