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Dryad

Dataset for: Biomimetic models of fish gill rakers as lateral displacement arrays for particle separation

Data files

Jul 19, 2023 version files 29.40 GB

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Abstract

Ram suspension-feeding fish such as herring use gill rakers to separate small food particles from large water volumes while swimming forward with an open mouth. Fish gill raker function was tested using 3D-printed conical models and computational fluid dynamics (CFD) simulations over a range of slot aspect ratios. (See CFD simulation output in Dryad dataset: case and data files for ANSYS Fluent 19.1 CFD simulations.)

Our hypothesis predicting the exit of particles based on mass flow rates, dividing streamlines (i.e., stagnation streamlines) at the slots between gill rakers, and particle size was supported by the results of experiments with physical models in a recirculating flume. (See R code with embedded comments in Dryad dataset to test Hypotheses 1 and 2 for particle exit/trapping.)

Particle movement in suspension-feeding fish gill raker models was consistent with the physical principles of lateral displacement arrays (“bump arrays”) for microfluidic and mesofluidic separation of particles by size. Although particles were smaller than the slots between rakers, particles skipped over the vortical region that was generated downstream from each raker. Particles “bumped” on anterior raker surfaces during posterior transport. (See particle movement data in Dryad dataset: three files for particle contact, exit, and retention in the physical models.)

Experiments in a recirculating flume demonstrated that the shortest distance between the dividing streamline and the raker surface preceding the slot predicts the maximum radius of a particle that will exit from the model by passing through the slot. This theoretical maximum radius is analogous to the critical separation radius identified with reference to the stagnation streamlines in microfluidic and mesofluidic devices that use deterministic lateral displacement and sieve-based lateral displacement. These conclusions provide new perspectives and metrics for analyzing crossflow and cross-step filtration in fish with applications to filtration engineering.