Session: DAC-01-2: Control Co-Design

Paper Number: 143578

143578 - Multi-Split Configuration Design for Fluid-Based Thermal Management Systems 

High power density systems require efficient cooling to maintain their thermal performance. Despite this, as systems get larger and more complex, human practice and insight may not suffice to determine the desired thermal management system designs. To this end, a framework for automatic architecture exploration is presented in this article for a class of single-phase, multi-split cooling systems. For this class of systems, heat generation devices are clustered based on their spatial information, and flow splits are added only when required and at the location of heat devices. To generate different architectures, candidate architectures are represented as graphs. From these graphs, dynamic physics models are created automatically using a graph-based thermal modeling framework. Then, an optimal fluid flow distribution problem is solved by addressing temperature constraints in the presence of exogenous heat loads to achieve optimal performance. The focus in this work is on the design of general multi-split heat management systems. The architectures discussed here can be used for various applications in the domain of configuration design. The multi-split algorithm can produce configurations where splitting can occur at any of the vertices. The results presented include three distinct categories of problems, each of which is thoroughly discussed and analyzed in this paper

Presenting Author: Nastaran Shahmansouri Autodesk Research

Presenting Author Biography: Nastaran is a Principal Research Scientist at Autodesk in Toronto, Canada, where she leads projects to find innovative and smart ways of facilitating human-centered optimal design. She helps decision-makers find better designs in less time by providing them with predictive tools for optimizing complex designs with competing design criteria and constraints. Her background in optimization, artificial intelligence, and computational sciences empowers her with a wide vision on the scopes of designs and helps her see the possibilities to translate solutions between different disciplines. She has published her work in credible journals and at conferences, and has been nominated for and won several industrial awards

Authors:

Saeid Bayat University of Illinois Urbana-Champaign
Nastaran Shahmansouri Autodesk Research
Satya Rt Peddada University of Illinois at Urbana-Champaign
Alexander Tessier Autodesk Research
Adrian Butscher Autodesk Research
James T Allison University of Illinois at Urbana-Champaign