Genetic Algorithm Design Of A 3d Printed Heat Sink

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Genetic algorithm design of a 3d printed heat sink.

Genetic algorithm based design and optimization methodology of a 3d printed power module packaging inproceedings wu2018geneticab title genetic algorithm based design and optimization methodology of a 3d printed power module packaging author t. Request pdf on mar 1 2016 tong wu and others published genetic algorithm design of a 3d printed heat sink find read and cite all the research you need on researchgate. Sorry we are unable to provide the full text but you may find it at the following location s. In this paper an algorithm isproposed to design air cooled heat sinks using genetic algorithm ga and finite element analysis fea simulations.

They performed a thermal analysis of a commercially available heat sink which consisted of copper heat pipes carrying coolant water embedded in an aluminum block. While thega generates a population of candidate heat sinks in eachiteration fea simulations are used to evaluate the fitnessfunction of each. Of significant interest is the potential improvements in the design of cold plates and heat sinks for electronics cooling. Genetic algorithms were used to design 3d printable same size 86 x 64 x 8mm competition for the reference heatsink under both 1kw and 2kw load conditions.

In this paper a genetic algorithm ga based approach is discussed for designing heat sinks based on total heat generation and dissipation for a pre specified size andshape. Genetic algorithm design of a 3d printed heat sink abstract. Optimization of 3d printed liquid cooled heat sink designs using a micro genetic algorithm with bit array representation. Micro genetic algorithms coupled with computational fluid dynamics to optimize heat sinks.

At the same time wu s other project shows that a genetic algorithm design process can be used to determine the ideal internal structure of a heat sink for its specific application. In all cases inlet water at 20 c was assumed to flow into the heatsinks at 0 036 litre s. In this paper a genetic algorithm ga based approach is discussed for designing heat sinks based on total heat generation and dissipation for a pre specified size and shape. To keep the design algorithms simple arbitrary water channel shapes were not allowed.