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.Comment: 11 pages, 18 figure