2022
DOI: 10.1007/s10404-022-02529-z
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Flow characteristics prediction in a flow-focusing microchannel for a desired droplet size using an inverse model: experimental and numerical study

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Cited by 6 publications
(2 citation statements)
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“…There was a flow of 0.01 to 1 µL/s 74) . There are numerous more processes that utilise microchannels to produce droplets and generate bubbles [337][338][339][340][341][342][343][344][345][346][347][348][349][350][351] . Chu and colleagues (2010) created bent rectangular tubes.…”
Section: Microchannels Used In Creation Of Bubbles and Dropletsmentioning
confidence: 99%
“…There was a flow of 0.01 to 1 µL/s 74) . There are numerous more processes that utilise microchannels to produce droplets and generate bubbles [337][338][339][340][341][342][343][344][345][346][347][348][349][350][351] . Chu and colleagues (2010) created bent rectangular tubes.…”
Section: Microchannels Used In Creation Of Bubbles and Dropletsmentioning
confidence: 99%
“…There are different types of metaheuristic algorithms for optimization. They can be divided into four main groups (Nazari et al, 2022); evolutionary algorithms such as GA, swarm-based algorithms such as COA, human-based algorithms such as HS algorithm, and physics-based algorithms such as WCA. In this article, one metaheuristic algorithm was selected from each group to compare them in optimization of temperature fuzzy controller.…”
Section: Controller Designmentioning
confidence: 99%