University of Illinois Urbana-Champaign

Reduced order optimization of internal channel heat sink designs

Lad, Aniket Ajay

Content Files
LAD-THESIS-2022.pdf

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https://hdl.handle.net/2142/115648

Description

Title
Reduced order optimization of internal channel heat sink designs
Author(s)
Lad, Aniket Ajay
Issue Date
2022-04-28
Director of Research (if dissertation) or Advisor (if thesis)
Miljkovic, Nenad
Department of Study
Mechanical Sci & Engineering
Discipline
Mechanical Engineering
Degree Granting Institution
University of Illinois at Urbana-Champaign
Degree Name
M.S.
Degree Level
Thesis
Keyword(s)
  • Design Optimization
  • Electronics Cooling
  • Thermal Management, Additive Manufacturing
  • Channel Flow
Abstract
The recent growth in electronics power density has created a significant need for effective thermal management solutions. Liquid-cooled heat sinks or cold plates are typically used to achieve high volumetric power density cooling. A natural trade-off exists between the thermal and hydraulic performance of a cold plate, creating an opportunity for design optimization. Current design optimization methods rely on computationally expensive and time-consuming computational fluid dynamics (CFD) simulations. Here, we develop a rapid design optimization tool for liquid cooled heat sinks based on reduced order models for the thermal-hydraulic behavior. Flow layout is expressed as a combination of simple building blocks on a divided coarse grid. The flow layout and geometrical parameters are incorporated to optimize designs that can effectively address heterogeneous cooling requirements within electronics packages. Layout optimization problem of assigning flow blocks on elements of the coarse grid is solved using discrete optimization method. Modifying the expression of flow block in terms of design variables and evaluating non-trivial objective function for partially complete flow layouts coupled with a multi-start approach to improve the probability of finding flow layouts with optimal performance. Gradient-based optimizer enables rapid optimization of internal diameters of the flow blocks for a given flow layout in geometry optimization.
Graduation Semester
2022-05
Type of Resource
Thesis
Handle URL
https://hdl.handle.net/2142/115648
Copyright and License Information
Copyright 2022 Aniket Ajay Lad

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