Computationally-validated surrogate models for optimal geometric design of bio-inspired swimming robots: HELICAL swimmers

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dc.contributor.authorTabak, Ahmet Fatih
dc.contributor.authorYeşilyurt, Serhat
dc.date.accessioned2020-11-21T15:53:17Z
dc.date.available2020-11-21T15:53:17Z
dc.date.issued2014en_US
dc.departmentİstanbul Ticaret Üniversitesien_US
dc.description.abstractResearch on micro-swimming robots without tether is growing fast owing to their potential impact on minimally invasive medical procedures. Candidate propulsion mechanisms of robots are vastly based on micro-organisms with rotating helical tails. For design of swimming robots, accurate models are necessary to compute velocities with corresponding hydrodynamic forces. Resistive force theory (RFT) provides an excellent framework for six degrees-of-freedom (dof) surrogate models in order to carry out effective design studies. However, resistance coefficients reported in literature are based on approximate analytical solutions for asymptotical cases, and do not address the effect of hydrodynamic interactions between the body and the tail, even in unbounded fluid media. Here, we use hydrodynamic interaction coefficients that multiply the body resistance coefficients along with no further modification to local resistance coefficients of the tail. Interaction coefficients are obtained from the solution of the inverse problem once for a fixed representative design with a computational fluid dynamics (CFD) simulation or an experiment. Results of the RFT-based hydrodynamic model are compared against further CFD simulations, and indicate that the model with hydrodynamic interaction coefficients obtained from a representative design provides a viable surrogate for computationally intensive three-dimensional time-dependent CFD models for a range of design variables. Finally, the validated hydrodynamic model is employed to investigate efficient geometric designs with helical wave propagation method within a wider range of design parameters. © 2014 Elsevier Ltd.en_US
dc.identifier.doi10.1016/j.compfluid.2014.04.033en_US
dc.identifier.endpage198en_US
dc.identifier.issn0045-7930
dc.identifier.scopus2-s2.0-84901369547en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage190en_US
dc.identifier.urihttps://doi.org/10.1016/j.compfluid.2014.04.033
dc.identifier.urihttps://hdl.handle.net/11467/3530
dc.identifier.volume99en_US
dc.identifier.wosWOS:000338605400015en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevier Ltden_US
dc.relation.ispartofComputers and Fluidsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectBio-inspired robotsen_US
dc.subjectHydrodynamic interactionen_US
dc.subjectMicro-flowsen_US
dc.subjectMicro-swimmingen_US
dc.subjectResistive force theoryen_US
dc.subjectSurrogate modelsen_US
dc.titleComputationally-validated surrogate models for optimal geometric design of bio-inspired swimming robots: HELICAL swimmersen_US
dc.typeArticleen_US

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