High-performance cooling is often necessary for thermal management of high power density systems. However, human intuition and experience may not be adequate to identify optimal thermal management designs as systems increase in size and complexity. This article presents an architecture exploration framework for a class of single-phase cooling systems. This class is specified as architectures with multiple cold plates in series or parallel and a single fluid split and junction. Candidate architectures are represented using labeled rooted tree graphs. Dynamic models are automatically generated from these trees using a graph-based thermal modeling framework. Optimal performance is determined by solving an appropriate fluid flow distribution problem, handling temperature constraints in the presence of exogenous heat loads. Rigorous case studies are performed in simulation, with components subject to heterogeneous heat loads and temperature constraints. Results include optimization of thermal endurance for an enumerated set of 4051 architectures. The framework is also applied to identify cooling system architectures capable of steady-state operation under a given loading.
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August 2019
Research-Article
Optimal Flow Control and Single Split Architecture Exploration for Fluid-Based Thermal Management
Satya R. T. Peddada,
Satya R. T. Peddada
Department of Industrial and Enterprise Systems Engineering,
Urbana, IL 61801
e-mail: speddad2@illinois.edu
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: speddad2@illinois.edu
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Daniel R. Herber,
Daniel R. Herber
Department of Industrial and Enterprise Systems Engineering,
Urbana, IL 61801
e-mail: herber1@illinois.edu
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: herber1@illinois.edu
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Herschel C. Pangborn,
Herschel C. Pangborn
Department of Mechanical Science and Engineering,
Urbana, IL 61801
e-mail: pangbor2@illinois.edu
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: pangbor2@illinois.edu
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Andrew G. Alleyne,
Andrew G. Alleyne
Department of Mechanical Science and Engineering,
Urbana, IL 61801
e-mail: alleyne@illinois.edu
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: alleyne@illinois.edu
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James T. Allison
James T. Allison
Department of Industrial and Enterprise Systems Engineering,
Urbana, IL 61801
e-mail: jtalliso@illinois.edu
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: jtalliso@illinois.edu
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Satya R. T. Peddada
Department of Industrial and Enterprise Systems Engineering,
Urbana, IL 61801
e-mail: speddad2@illinois.edu
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: speddad2@illinois.edu
Daniel R. Herber
Department of Industrial and Enterprise Systems Engineering,
Urbana, IL 61801
e-mail: herber1@illinois.edu
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: herber1@illinois.edu
Herschel C. Pangborn
Department of Mechanical Science and Engineering,
Urbana, IL 61801
e-mail: pangbor2@illinois.edu
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: pangbor2@illinois.edu
Andrew G. Alleyne
Department of Mechanical Science and Engineering,
Urbana, IL 61801
e-mail: alleyne@illinois.edu
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: alleyne@illinois.edu
James T. Allison
Department of Industrial and Enterprise Systems Engineering,
Urbana, IL 61801
e-mail: jtalliso@illinois.edu
University of Illinois at Urbana-Champaign
,Urbana, IL 61801
e-mail: jtalliso@illinois.edu
This work was presented in part at the 44th ASME Design Automation Conference, Quebec City, Canada, August 26–29, 2018 [1].
Contributed by the Design Automation Committee of ASME for publication in the Journal of Mechanical Design. Manuscript received November 16, 2018; final manuscript received March 1, 2019; published online April 18, 2019. Assoc. Editor: Ashvin Hosangadi.
J. Mech. Des. Aug 2019, 141(8): 083401 (12 pages)
Published Online: April 18, 2019
Article history
Received:
November 16, 2018
Revision Received:
March 1, 2019
Accepted:
March 6, 2019
Citation
Peddada, S. R. T., Herber, D. R., Pangborn, H. C., Alleyne, A. G., and Allison, J. T. (April 18, 2019). "Optimal Flow Control and Single Split Architecture Exploration for Fluid-Based Thermal Management." ASME. J. Mech. Des. August 2019; 141(8): 083401. https://doi.org/10.1115/1.4043203
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