0
Article Tier 2 Marine & Wildlife Policy & Risk Sign in to save

A multiple-scales framework for branched channel filters

AI summary Read the abstract

Researchers developed a multiple-scales mathematical framework for analyzing branched-channel filter structures designed to separate microplastic fibers from laundry wastewater using a 'ricochet separation' mechanism inspired by manta ray feeding. The model characterizes particle dynamics and filter performance under high-Reynolds-number laminar flow, providing design guidance for washing machine filters that clog less frequently than conventional dead-end filters.

Fibres shed from our clothes during a washing machine cycle constitute around 35% of the primary microplastics in our oceans. Current conventional dead-end washing machine filters clog relatively quickly and require frequent cleaning. We consider a new concept, ricochet separation, inspired by the feeding process of manta rays, to reduce the cleaning frequency. In such a device, some fluid is diverted through branched channels whilst particles ricochet off the wall structure, forcing them back into the main flow and then into the dead-end filter. In this paper, we consider a simple branched-channel filter structure beneath a high-Reynolds-number laminar flow, in the case where the branch separation is much larger than the thickness of the viscous boundary layer. We use multiple-scales techniques to derive an effective leakage boundary condition, which smooths out localised effects in the flow velocity and pressure that arise due to the discrete branched channels, and then use this boundary condition to explicitly determine the flow away from the boundary. We find that our explicit solution compares well with an analogous numerical solution containing a discrete set of branched channels. We further consider the behaviour of individual spherical particles in the device, with their trajectories determined via a simple force balance model with a wall-bounce condition. We explore the dependence of the fraction of particles that flow into the branched channels on the particle's Stokes number. The resulting combined model is able to predict the relationship between the efficiency of a ricochet filter device and the design and operating parameters, avoiding the need to conduct extensive numerically challenging simulations.

More Papers Like This

Article Tier 2

A multiple-scales framework for branched channel filters

AI summary Read the abstract

Your washing machine sends tons of tiny plastic fibers into rivers and oceans every year, and current filters clog too fast to catch them effectively. Inspired by how manta rays filter food from water, researchers designed a math model for a new filter that redirects water through branching channels, causing microfiber particles to bounce off and get trapped instead of clogging the system. This model helps engineers predict how well such filters would work without expensive trial-and-error testing, potentially leading to better microplastic-catching washing machines in the future.

Article Tier 2

A self-cleaning, bio-inspired high retention filter for a major entry path of microplastics

AI summary Read the abstract

Researchers developed a bio-inspired self-cleaning filter for washing machine microplastic fibre capture, modeled on the gill arch system of ram-feeding fish, achieving high retention efficiency while resisting clogging — a key limitation of existing domestic filtration solutions.

Article Tier 2

A self-cleaning, bio-inspired high retention filter for a major entry path of microplastics

AI summary Read the abstract

Researchers designed a washing machine filter inspired by how ram-feeding fish use their gill arches to strain food from water, achieving up to 99.6% retention of microplastic fibers while a built-in self-cleaning mechanism prevents clogging. This bio-inspired filter could significantly reduce the estimated millions of microfibers released into waterways from household laundry each year.

Article Tier 2

Towards a More Sustainable Water Treatment: Design of a Hydrodynamic Test Rig and Testing of a Novel Microplastic Filter Using Biomimetics

AI summary Read the abstract

Researchers designed a hydrodynamic test rig and a novel biomimetic microplastic filter inspired by aquatic filter-feeding organisms, aiming to improve solid-liquid separation in water treatment. The study demonstrates how biological filtration strategies can inform more sustainable industrial microplastic removal approaches.

Article Tier 2

Biologically inspired solutions to micro- and nanoplastic filtration in wastewater treatment plants

AI summary Read the abstract

Tiny plastic particles (microplastics and even smaller nanoplastics) are slipping through our wastewater treatment plants and ending up in rivers, oceans, and eventually our food—yet current filters just aren't built to catch them. Researchers looked to nature for solutions, studying how living organisms (like filter-feeding animals) trap tiny particles, and identified promising biological designs that could inspire better, more effective filtration technology. This is an early-stage conceptual study, not a ready-to-use product, but it lays groundwork for future filters that could reduce the amount of plastic pollution making its way into our water and bod

Research digests by email

When a large batch of papers lands in the Atlas, we read through it and send a short write-up of what stood out.

Email me about

Share this paper