Comparison of Experimental and Computational Heat Transfer Characterization of Water Jet Impingement Array with Interspersed Fluid Extraction

Abstract

A jet impingement cooling device was designed with jet-adjacent fluid extraction ports distributed throughout the impingement array. The device was fabricated from a photopolymer material using a three-dimensional printing technique and tested for flow resistance and cooling performance using water as the working fluid. Parallel to physical experiments, computational simulations were performed using a quarter-jet repeating unit cell consistent with the physical device geometry, but independent of the manifold architecture. Pressure drop and heat transfer results from both methods were evaluated and compared. It was found that the computational and experimental pressure drop results showed excellent agreement after manifold pressure drops were properly accounted for using a reduced-order analytical model. Heat transfer results were shown to have reasonable agreement with differing trends. A discussion on possible causes for the difference is presented and suggestions are made for future accommodation. Finally, this work proposes a strategy for development of broadly applicable thermal and pressure drop correlations which span a wide range of geometries, fluid properties, heat fluxes, and flow parameters.

Additional information

Notes on contributors

David Hobby

David Hobby is a Ph.D. candidate in the Department of Mechanical Engineering at Colorado State University where he conducts research as part of the Interdisciplinary Thermal Science Laboratory. His research experiences and interests include high-power electronics cooling, thermal energy system design, small form factor turbomachinery, fluid dynamics, and system-level thermal SWAP analyses.

Tom Walker

Tom Walker graduated with a Bachelor of Science in mechanical engineering from Colorado State University in 2018. There he did research in fluid dynamics, thermal sciences, and thermal energy systems in the Interdisciplinary Thermal Science Laboratory. He currently works as a Systems Engineer at Raytheon in Aurora Colorado

Alex Rattner

Alex Rattner is the Dorothy Quiggle Career Development assistant professor in the Department of Mechanical Engineering at Penn State University and the principal investigator of the Multiscale Thermal Fluids and Energy Lab. He received his Ph.D. in Summer 2015 from the Georgia Institute of Technology. His research expertise includes waste heat recovery, absorption refrigeration, high-heat-flux thermal management, power systems for planetary landers, membrane distillation, air-cooled condensers for power plants, and experimental and computational multiphase flow heat and mass transfer.

Chris Jacobsen

Chris Jacobsen is an R&D manager for Keysight Technologies in Loveland, Colorado since 2006 and has been with the company in a variety of roles since 1990. He obtained his BSEE from the University of Florida in 1990. He currently manages Keysight’s modular and host processor platform group within Keysight Laboratories. He holds 15 US patents.

David Sherrer

David Sherrer is a mechanical engineer in research and development at Keysight Technologies in Loveland, Colorado. He earned his bachelor's degree in mechanical engineering from Rutgers University. He has 36 years of experience in the design and manufacture of electronic test and measurement equipment. His specialties of interest and research include thermal analysis and mechanical tolerance analysis.

Todd Bandhauer

Todd Bandhauer is an Associate Professor and Associate Chair for Graduate Studies in the Department of Mechanical Engineering at Colorado State University (CSU), and the Director of the Interdisciplinary Thermal Science Laboratory (www.theitslab.com). Prior to CSU, he received a Ph.D. from Georgia Tech while on a graduate research fellowship from Sandia National Laboratories, and has nearly 6 years of combined experience in industry and at Lawrence Livermore National Laboratory (LLNL), focusing on critical issues for energy storage and conversion systems using a combination of experimental and computational approaches.