Designing Microfluidic Components for Enhanced Surface Delivery Using a Genetic Algorithm Search
نویسندگان
چکیده
The Toolbox approach to the automated design of microfluidic components is extended to include a genetic algorithm search of candidate designs. Performance metrics for characterizing surface delivery are described, and the software is applied to choose sequences of grooves to add to a rectangular microchannel in order to optimize surface delivery for pressure-driven flow. Initial searches using five groove shapes identify designs that perform much better than standard mixers found in the literature. These initial searches produced two sets of competing designs, and each set was dominated by a different subset of the allowable groove shapes. Additional targeted searches that limited the groove choices to each of these two subsets produced additional significant improvements in the designs.
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