We provide an algorithm to optimize the geometry of the fins in an array of longitudinal-fin heat sinks (HSs) in, e.g., a blade server, which is a prohibitively long task using computational fluid dynamics (CFD). First, banks of CFD simulations are run to precompute dimensionless thermal resistances (conjugate Nusselt numbers) as a function of dimensionless HS geometry, thermophysical properties, and external parameters. These precomputed CFD results are embedded in flow network models (FNMs) in the form of look-up tables. This preserves much of the accuracy of CFD and the speed of FNM. The FNMs are, in turn, embedded in a multivariable optimization algorithm (MVO). Our hybrid numerical algorithm is provided, and we exercise it for an example problem.
Simultaneous Optimization of an Array of Heat Sinks
Medford, MA 02155
Contributed by the Electronic and Photonic Packaging Division of ASME for publication in the JOURNAL OF ELECTRONIC PACKAGING. Manuscript received August 15, 2018; final manuscript received January 8, 2019; published online February 25, 2019. Assoc. Editor: Pradip Dutta.
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Karamanis, G., and Hodes, M. (February 25, 2019). "Simultaneous Optimization of an Array of Heat Sinks." ASME. J. Electron. Packag. June 2019; 141(2): 021001. https://doi.org/10.1115/1.4042668
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