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High power density systems require efficient cooling to maintain theirthermal performance. Despite this, as systems get larger and more complex,human practice and insight may not suffice to determine the desired thermalmanagement system designs. To this end, a framework for automatic architectureexploration is presented in this article for a class of single-phase,multi-split cooling systems. For this class of systems, heat generation devicesare clustered based on their spatial information, and flow-split are added onlywhen required and at the location of heat devices. To generate differentarchitectures, candidate architectures are represented as graphs. From thesegraphs, dynamic physics models are created automatically using a graph-basedthermal modeling framework. Then, an optimal fluid flow distribution problem issolved by addressing temperature constraints in the presence of exogenous heatloads to achieve optimal performance. The focus in this work is on the designof general multi-split heat management systems. The architectures discussedhere can be used for various applications in the domain of configurationdesign. The multi-split algorithm can produce configurations where splittingcan occur at any of the vertices. The results presented include 3 categories ofcases and are discussed in detail.

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