May 16, 2026 at 12:00 AM UTC
This webinar explores advanced phase-change thermal systems designed for high heat flux cooling and energy applications. The session will highlight how processes such as boiling, evaporation, and condensation can be engineered to achieve efficient thermal management in demanding environments. Attendees will gain insights into current research, practical design considerations, and emerging opportunities to apply these systems in next-generation cooling and energy technologies.
June 15, 2026 at 3:00 PM UTC
Boiling heat transfer offers exceptionally high heat removal capability, making it attractive for energy-efficient thermal management in electronics cooling, power systems, and other high heat-flux applications. However, the practical use of boiling is constrained by the critical heat flux (CHF), beyond which vapor blanketing can trigger a sharp surface-temperature excursion and potential device failure. This talk presents an acoustics-based sensing and control framework for predicting and mitigating CHF in pool boiling systems. Acoustic emissions generated during boiling are used as a non-intrusive diagnostic signal to identify boiling regimes and detect precursors to CHF. Deep learning models trained on these acoustic signatures enable real-time classification of boiling states and advance prediction of impending CHF. Beyond prediction, the framework is extended to adaptive control, where an on-demand cooling intervention is activated based on acoustic feedback to delay thermal runaway and push the operating limit beyond the nominal CHF condition. The results demonstrate how low-cost acoustic sensing, machine learning, and active control can transform boiling from a passively monitored heat-transfer process into an actively regulated thermal management strategy. The broader implication is a pathway toward safer, more compact, and more energy-efficient two-phase cooling systems that operate closer to their physical limits.