Publication

Multi-split configuration design for fluid-based thermal management systems

(a) Class of system considered in this work; (b) The workflow diagram that illustrates the steps involved in the code execution; (c) A sample configuration graph generated with the presented algorithm. An equivalent physics graph was automatically generated and solved. Individual plots, adjacent to each node, display the wall temperature, fluid temperature, and flow rate.

Abstract

Multi-split configuration design for fluid-based thermal management systems

Saeid Bayat, Nastaran Shahmansouri, Satya RT Peddada, Alexander Tessier, Adrian Butscher, James T Allison

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-split 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 3 categories of cases and are discussed in detail.

Download publication

Associated Researchers

Saeid Bayat

University of Illinois at Urbana-Champaign

Satya RT Peddada

University of Illinois at Urbana-Champaign

James T. Allison

University of Illinois at Urbana-Champaign

View all researchers

Related Resources

Publication

2017

Simulation-Based Architectural Design

In recent decades, architects have turned to computer simulation with…

Project

2018

Autodesk @ MaRS

Using generative design in architecture to work around work style,…

Get in touch

Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.

Contact us