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Choice of computational method for swimming and pumping with nonslender helical filaments at low Reynolds number
Date
2016Type
ArticleAbstract
The flows induced by biological and artificial helical filaments are important to many possible applications including microscale swimming and pumping. Microscale helices can span a wide range of geometries, from thin bacterial flagella to thick helical bacterial cell bodies. While the proper choice of numerical method is critical for obtaining accurate results, there is little guidance about which method is optimal for a specified filament geometry. Here, using two physical scenarios-a swimmer with a head and a pump-we establish guidelines for the choice of numerical method based on helical radius, pitch, and filament thickness. For a range of helical geometries that encompass most natural and artificial helices, we create benchmark results using a surface distribution of regularized Stokeslets and then evaluate the accuracy of resistive force theory, slender body theory, and a centerline distribution of regularized Stokeslets. For the centerline distribution of regularized Stokeslets or slender body theory, we tabulate appropriate blob size and Stokeslet spacing or segment length, respectively, for each geometry studied. Finally, taking the computational cost of each method into account, we present the optimal choice of numerical method for each filament geometry as a guideline for future investigations involving filament-induced flows. (C) 2016 AIP Publishing LLC.
Permanent link
http://hdl.handle.net/11714/6270Additional Information
Journal Title | Physics of Fluids |
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Rights | In Copyright (All Rights Reserved) |
Rights Holder | AIP Publishing LLC. This article may be downloaded for personal use only. Any other use requires prior permission of the author and AIP Publishing. This article appeared in Martindale, J. D., Jabbarzadeh, M., & Fu, H. C. (2016). Choice of computational method for swimming and pumping with nonslender helical filaments at low Reynolds number. Physics of Fluids, 28(2), 021901. doi:10.1063/1.4940904) and may be found at https://doi.org/10.1063/1.4940904 |