Capturing Interfacial Phase-Change Physics through a Consolidated Experimental, Computational, and D
Abstract
Power and energy is a significant driver for many future naval systems. This includes the need for developing a new generation of di,rected energy weapons, a new generation of sensors, and an increase in energy concentration in future electrified naval ships, vehic,les, and aircraft systems. A main challenge to developing and deploying these systems is the multifold increase in heat rejection lo,ads, which if not properly managed w, As identified in the Operational Endurance Priority in the Naval Research and Development Framework, this is a critical research ne,ed for the Navy.Most current thermal management systems across naval applications have relied on single-phase cooling methods, which, can no longer meet the high energy dissipation requirements. Two-phase thermal management systems utilizing boiling and condensatio,n configurations provide orders of magnitude enhancement in heat transfer coefficients directly increasing the amount of energy diss,ipation, reducing system weights and volumes, reducing flow and pumping power requirements, and providing more uniformity in system,temperatures. However, good design tools that can accurately predict thermal performance in two-phase configurations have only seen,limited success. Two-phase flows are extremely complex as flow and thermal transport behaviors change drastically even with small ge,ometric and operating parametric variations making most traditional design tool development futile and only applicable to a very sma,ll region of multidimensional parametric space or having low accuracy. Current state-of-the-art approaches include correlation,development, analytical modeling, computational fluid dynamics simulations (CFD), and direct numerical simulations, all having some,significant weaknesses. One major obstacle to understanding the physical behaviors and predicting phase-change configuration perform,ance parameters accurately is being able to effectively resolve the combined effect of parameters impacting the two-phase interface,including the turbulence, surface tension, gravity, and mass transfer. The PI believes that utilizing advanced experimental techniqu,es and data-driven CFD simulation tools in combination with physics-informed data sciences strategies to investigate the two-phase i,t, the PI will focus on the annular flow condensation phenomenon to study the effects of these parameters on the two-phase interface,. A set of interrelated tasks are proposed as part of the technical approach. First, the PI will utilize novel experimental techniqu,es to explore transient interfacial flow dynamics and temperature fields during annular flow condensation. Second, he will implement, adaptive machine learning-based mass transfer models for flow condensation to improve CFD accuracy. Third, he will develop a consol,idated data-driven modeling tool that utilizes physical models in their training based on results from the experimental and CFD task,s. If successful, the proposed research would pioneer a new approach to capturing fundamental principles in two-phase systems, which, can be applied to capturing performance parameters in other phase change systems including but not limited to pool boiling, flow bo,iling, spray boiling, jet impingement boiling, dropwise condensation, and film condensation. This project will provide a pathway to,a generalized flow design tool development methodology that can be used by DoD engineers and scientists for designing future power a,nd energy systems that while capable of handling ultra-high heat fluxes, are also highly compact, light-weight, and energy efficient,.
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Jul 13, 2022
- Source ID
- N000142212618
Entities
People
- Chirag R Kharangate
Organizations
- Case Western Reserve University
- Office of Naval Research
- United States Navy