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Papers
20 resultsShowing papers similar to Computational fluid dynamics and artificial neural network based modeling of microplastics seperation using hydrocyclone
ClearEffect of hydrocyclone design in microplastics-water separation by using computational fluid dynamics simulations
Researchers used computer fluid dynamics simulations to test and optimize the design of hydrocyclones — spinning funnel-shaped devices that use centrifugal force to separate particles from water — for removing microplastics, finding an optimized geometry that achieved 76% microplastic recovery. The results show that carefully tuning the proportions of a hydrocyclone's components can significantly improve its ability to filter microplastics from water at scale.
Optimising miniaturised hydrocyclones for enhanced separation of microplastics
Researchers optimized the design of miniaturized hydrocyclones for separating small microplastics in the 5-20 micrometer range from water. Using computational fluid dynamics simulations, they identified optimal inlet geometry and flow conditions that significantly improved particle separation efficiency. The study demonstrates that mini-hydrocyclones could serve as a compact and energy-efficient technology for removing very small microplastics from water treatment systems.
Effect of hydrocyclone size on microplastics separation: a computational fluid dynamics investigation
Researchers used computer fluid dynamics simulations to test how the size of a hydrocyclone — a cone-shaped device that uses spinning water to separate particles — affects its ability to remove microplastics from water. Smaller hydrocyclones generated stronger centrifugal forces and recovered more microplastics, though they also required more energy, revealing a trade-off that engineers must balance in real-world water treatment systems.
Numerical study on the mechanism of microplastic separation from water by cyclonic air flotation
This numerical study modeled the separation of microplastics from water using cyclone separators, optimizing design parameters and flow conditions to improve removal efficiency across different particle sizes and densities.
Comparative study of the performance of conventional and modified hydrocyclones in the removal of microplastics in aqueous media.
Researchers compared the performance of conventional and modified hydrocyclone designs for removing microplastics and nanoplastics from aqueous media, evaluating design modifications that could improve separation efficiency given growing evidence of microplastic ingestion risks to humans and animals.
Migration and Removal of Microplastics in a Dual-Cone Mini-Hydrocyclone
Researchers analysed microplastic migration and separation in a dual-cone mini-hydrocyclone using a numerically verified model, examining how feed flow rate, MP volume fraction, and particle density affect separation efficiency. They found that separation efficiency improved with higher flow rates (reaching 78.56% at 10 m/s for 50 micrometre MPs) but decreased at higher MP volume fractions due to particle collisions, while MPs with densities below water achieved near-complete separation of 98.51%.
Fast prediction and control of air core in hydrocyclone by machine learning to stabilize operations
This study developed a machine learning model to rapidly predict and control the air core behavior inside hydrocyclones used for wastewater treatment and microplastic removal, enabling more stable and efficient operation. The model reduced the need for manual adjustment and improved separation consistency.
Cyclone Shapes for Sand and Microplastic Separation: Efficiency and Reynolds Number Relationships
This study compared three cyclone separator designs for their ability to separate microplastics from beach sand, finding that a cone-shaped design achieved near-perfect efficiency for denser plastic types but lower efficiency for lightweight Styrofoam. Cyclone-based separation offers a promising mechanical approach for cleaning microplastics from coastal sediments at scale.
The Standard and Reverse Mode Operation of a Hydrocyclone for Microplastic Separation
Researchers tested whether hydrocyclones — low-cost centrifugal separation devices — could efficiently separate microplastics from water, finding that particles denser than water were captured in standard mode while lighter particles required reverse mode operation. The system effectively separated all four test microplastic types based on density, suggesting hydrocyclones are a scalable, low-energy option for removing microplastics from industrial and municipal water streams.
Enhanced microplastic removal using a mini-hydrocyclone with microbubbles
Researchers improved microplastic separation from water by combining mini-hydrocyclones with microbubble injection, finding that the microbubbles reduced apparent microplastic density and substantially improved separation efficiency for particles with densities similar to water.
Design of an Efficient Model for Microplastic Removal in Wastewater using Advanced Filtration, Nanotechnology, and Bioremediation
This paper proposed an advanced machine learning model to design and optimize microplastic removal in wastewater treatment, using process parameters to predict removal efficiency. The intelligent model outperformed conventional design approaches in predicting treatment outcomes.
High-Efficiency Microplastic Sampling Device Improved Using CFD Analysis
This study used computational fluid dynamics analysis to redesign a microplastic water sampling device, improving its hydrodynamic performance and collection efficiency to address the lack of standardized sampling equipment for environmental microplastic monitoring.
Capturing Microplastics from Aquatic Systems Using Vortex-based Cyclone Technique
This study developed a vortex-based cyclone technique to capture microplastics from water, offering an alternative to filtration and sedimentation methods. The approach could be applied in water treatment to efficiently separate microplastics before they enter drinking water supplies or waterways.
Pengaruh Debit Aliran Terhadap Kinerja Pemisahan Limbah Microplastik Tersuspensi Menggunakan Hydrocyclone Dual Inlet Port
Researchers investigated the effect of varying flow rates on the separation performance of a dual-inlet hydrocyclone for removing suspended microplastic waste from water, measuring separation efficiency and microplastic classification outcomes across multiple flow rate conditions to optimize centrifugal separation as a practical treatment technology for microplastic-contaminated water.
Assessing Hydrocyclone System’s Efficiency in Water-Borne Microplastics Capture Using Online Microscopy Sensors
Researchers evaluated the efficiency of a hydrocyclone-based system for capturing water-borne microplastics, integrating online microscopy sensors to provide real-time monitoring of capture effectiveness and feedback for adaptive control under varying operating conditions.
Evaluation of a Water Treatment System for Removing Microplastic in an Aqueous Media
Researchers evaluated the microplastic removal efficiency of a hybrid water treatment system combining a Bradley-type hydrocyclone, sand filter, and polymeric microfiltration membrane, applying mass balance equations and solid-liquid separation models to determine removal performance across different MP size fractions.
High-efficiency microplastic removal in water treatment based on short flow control of hydrocyclone: Mechanism and performance
Researchers developed an improved mini-hydrocyclone device that removes over 98% of microplastics from water, a 34% improvement over conventional designs. The device uses tiny overflow channels to prevent small plastic particles from escaping during the separation process. This technology could be scaled up for industrial water treatment, helping to remove microplastics before treated water reaches the environment or drinking water supplies.
Use of computational fluid dynamics to model microplastic transport in the stormwater runoff system
Researchers used computational fluid dynamics simulations to model how microplastics move through stormwater wetland systems. They found that particle density, size, and shape significantly influenced transport patterns, with heavier particles settling more readily while lighter ones traveled further through the system. The study provides insights that could help optimize wetland design for more effective microplastic capture from urban stormwater runoff.
Coupled CFD-DEM modelling to assess settlement velocity and drag coefficient of microplastics
Researchers used computational fluid dynamics coupled with particle simulations to model how the size, shape, and density of microplastics affect their settling velocity and drag in water. Accurate physical models of microplastic behavior are essential for predicting where particles accumulate in rivers, lakes, and the ocean.
Revealing the removal behavior of five neglected microplastics in coagulation-ultrafiltration processes: Insights from experiments and predictive modeling
Researchers combined laboratory experiments with artificial neural network modeling to study how five commonly overlooked types of microplastics are removed during drinking water treatment. They found that coagulation alone removed 37-56% of the microplastics, while adding ultrafiltration removed virtually all remaining particles. The study provides new insights into the chemical and physical interactions that drive microplastic removal, which could help optimize water treatment processes.