Multi-Scale, Multi-Physics Challenges in Designing and Processing Composite Structures
The performance of advanced composite structures is increasingly governed by the interplay between design intent and tightly coupled manufacturing physics. As composite systems evolve toward greater architectural complexity and performance tailoring, design decisions are no longer separable from processing history, material state evolution, and structural response. This creates fundamental challenges for design methodologies that must operate under spatially varying, path-dependent, and physics-driven constraints.
This talk examines multi-scale, multi-physics challenges in the design and processing of composite structures, focusing on frameworks that explicitly connect manufacturing physics to downstream structural performance. Through coupled experimental and computational modeling, transient thermal and mechanical phenomena are characterized and linked to mesoscale material variability and structural response. These models elucidate how localized processing conditions propagate across scales, shaping manufacturability limits, defect sensitivity, and performance trade-offs that directly influence viable design spaces.
Building on this foundation, the talk discusses how physics-informed digital process twins can serve as an organizing framework for composite design and manufacturing. By integrating multi-scale modeling, experimentation, and data-driven surrogates, digital process twins enable design exploration and optimization while retaining physical interpretability. This perspective provides a pathway from predictive modeling toward robust decision-making, necessary for future terrestrial, in-orbit, and off-world manufacturing.