8TH Thermal and Fluids Engineering Conference (Hybrid), March, 26-29, 2023, College Park, MD, USA
Phase changes are a common occurrence in both nature and industry, from dew condensation on insects to water droplet harvesting and electronics cooling in data centers. Unveiling the thermofluidic principles behind these phase changes has been a long-standing challenge. Central to this understanding is the extraction of interpretable and rich datasets from dynamic and fast-moving liquid-vapor interfaces, represented as bubbles or droplets. Our research group aims to address this challenge by combining artificial intelligence, machine vision, data, and materials design to provide a comprehensive understanding of thermofluidic physics related to dynamic phase change processes. In this talk, we will showcase our key approaches related to autonomous feature extraction, physics-informed models, and their These approaches will provide a comprehensive understanding of two-phase heat transfer by enabling new scientific discoveries. The success of the proposed research will offer a blueprint for designing microstructures with targeted thermal management, even for heterogeneous and dynamic heating conditions, potentially leading to significant advances in phase change heat transfer.
2828 0