Optimal Design of Bacterial Carpets for Fluid Pumping

In this work, we outline a methodology for determining optimal helical flagella placement and phase shift that maximize fluid pumping through a rectangular flow meter above a simulated bacterial carpet. This method uses a Genetic Algorithm (GA) combined with a gradient-based method, the Broyden-Flet...

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Bibliographic Details
Published inFluids (Basel) Vol. 7; no. 1; p. 25
Main Authors Rostami, Minghao W., Liu, Weifan, Buchmann, Amy, Strawbridge, Eva, Zhao, Longhua
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.01.2022
Subjects
Algorithms
Bacteria
bacterial carpets
Broyden-Fletcher-Goldfarb-Shanno algorithm
Carpets
Efficiency
Flowmeters
Fluid dynamics
Fluid flow
fluid pumping
genetic algorithm
Genetic algorithms
Helices
Kinematics
method of regularized Stokeslets
Methods
Optimization
Placement
Pumping
Velocity
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Summary:In this work, we outline a methodology for determining optimal helical flagella placement and phase shift that maximize fluid pumping through a rectangular flow meter above a simulated bacterial carpet. This method uses a Genetic Algorithm (GA) combined with a gradient-based method, the Broyden-Fletcher-Goldfarb-Shanno (BFGS) algorithm, to solve the optimization problem and the Method of Regularized Stokeslets (MRS) to simulate the fluid flow. This method is able to produce placements and phase shifts for small carpets and could be adapted for implementation in larger carpets and various fluid tasks. Our results show that given identical helices, optimal pumping configurations are influenced by the size of the flow meter. We also show that intuitive designs, such as uniform placement, do not always lead to a high-performance carpet.
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ISSN:2311-5521
2311-5521
DOI:10.3390/fluids7010025