Articles tagged with Fluid Mechanics
Researchers from Aarhus University are developing a new approach to turbulence modelling using physics-constrained machine learning to accurately simulate complex turbulent systems. The goal is to reduce computational costs while maintaining accuracy, enabling more efficient designs and predictions in various fields.
John Kershner, a Lehigh University PhD candidate, has been awarded a Fulbright research grant to continue his work on owl-inspired aero-acoustics in Germany. He will collaborate with researchers at Brandenburg Technical University and the DLR to experimentally test these designs.
The Rice-Waseda team created a computer simulation model that can accurately depict the complex aerodynamics around a moving car and its rolling tires. The model uses NURBS Surface-to-Volume Guided Mesh Generation method, which enables it to capture the deformation of tires as they roll on the road.
Students in a University of Illinois course used household items like buttercream frosting, toothpaste, and yogurt to measure fluid properties. They developed creative methods for carrying out rheometric measurements, including compression squeeze flow analysis and gravity-driven filament stretching.
Scientists use advanced measurement methods to study carotid artery stenosis, discovering significant gaps between their findings and clinical methods. They propose improvements for surgical treatment technology and future medical devices.
Researchers created a theoretical model to describe the swelling, softening, and elastocapillary adhesion of cooked pasta. The study found that cooking time is directly related to the degree of noodle stickiness.
Researchers found that polymer molecules interact with the flow around gas bubbles, causing a sudden increase in velocity. This knowledge can be used to predict oxygen input and design equipment for industries like biotechnology and pharmaceuticals.
A team of researchers from Shibaura Institute of Technology has developed a transducer powered by electrochemical reactions to drive fluid pumps without cumbersome parts in soft robots. The ECDT enables self-sensing technology, enhancing the multifunctionality of soft robots and allowing for miniaturization.
A new imaging technique can detect early signs of blood trauma in red blood cells, which could aid in the development of markers to prevent damage. The technique, developed by researchers at Shibaura Institute of Technology and Griffith University, uses high-speed cameras to visualize changes in RBC shape under stress.
A new study suggests that social distancing alone is ineffective in mitigating COVID-19 spread and recommends vaccination, ventilation, and masks as vital measures. The researchers found that individual coughs vary widely, leading to a 'safe' distance of anywhere between one to three or more meters.
Researchers at the University of Texas at Austin have created a first-ever global river database tracking movement of the world's largest rivers over 40 years. The data reveals average migration rates for each river delta, helping identify stable areas and those experiencing major shifts.
Researchers at TU Wien have successfully described the 'teapot effect' with a theoretical analysis and experiments. The effect occurs when a liquid is poured out of a teapot too slowly, causing it to dribble down the outside of the pot due to an interplay of inertia, viscous, and capillary forces.
Researchers from Michigan Technological University created a robot that uses Marangoni propulsion to move across liquid surfaces like insects. The robot's design is inspired by the ability of certain species to manipulate surface tension for speed and maneuverability.
Researchers from MIT have developed a way to use carbon dioxide monitors to estimate indoor COVID-19 risk in near real-time. The model takes into account various factors such as ventilation, mask usage, and activity levels to provide an indoor reproductive number that represents the virus's transmission rate.
Research by TU Wien found that small droplets with coronaviruses can remain airborne for an order of magnitude longer than assumed due to high humidity. This means that even short-range exposure poses a significant risk, highlighting the need for scientifically sound guidelines on mask-wearing and safety distances.
A multidisciplinary team of Lehigh University researchers will conduct experiments on thermophoresis in complex fluids for bioseparations at the International Space Station. The team hopes to understand how temperature gradients affect particles and improve virus separation techniques with potential societal impact.
Physicists developed an electrical technique to study the Leidenfrost effect, revealing the temperature at which vapor layers form and collapse. The results show that stable vapor layers can be sustained at 240 degrees Celsius, with a minimum heat of 140 degrees Celsius required for their existence.
A new fluid dynamics model shows that tiny droplets can spread over long distances and remain airborne for a long time, making masks and distancing measures less effective. The model predicts that even with proper ventilation, it's possible to come into contact with the virus in certain environments.
Research from University of Cambridge suggests widely-used 'mixing ventilation' systems disperse airborne contaminants evenly, potentially increasing exposure to COVID-19. The study highlights the importance of good ventilation and mask-wearing in mitigating transmission.
Oregon State University professor Brian D. Wood has solved a 70-year-old puzzle in fluid mechanics, clarifying how chemicals mix in fluids and paving the way for advances in medical, industrial, and environmental applications. His research builds on Octave Levenspiel's work and resolves paradoxes in other theories.
Researchers developed SPINS, an inverse design codebase that automates the search for optimal optical and photonic structures. This enables faster design optimization and opens new possibilities for integrated photonics, including photonic neural networks and metasurface optics.
Professor Alexander J Smits has been recognized for his seminal contributions to the understanding of wall turbulence, particularly in its structure and behavior at extreme conditions. His work on bio-inspired propulsion and drag reduction has inspired new interests in biomimetic flows.
The Gallery of Fluid Motion, a premier visual record of contemporary fluid mechanics, displayed over 3,000 striking videos and posters. The highest-scoring entries in each category were designated as Milton van Dyke Awardees or Gallery Winners.
Researchers used dance to convey the principles of fluid mechanics by creating a 'physics-constrained improvisation.' The goal is to produce an educational video that demonstrates flow past a cylinder at varying Reynolds numbers.
Researchers analyzed extensive video of Pollock at work to understand his technique, which avoided coiling instability through a combination of high hand speed and short paint height. This discovery challenges previous theories on the creation of his iconic paintings.
Researchers created a squidlike robot that uses pulsed jet propulsion, achieving high speeds while minimizing environmental impact. The device can test water samples simultaneously, making it suitable for environmental monitoring.
Concordia researchers develop a new technique to detect obstructions in bi-leaflet mechanical heart valves, which can help identify potential issues with blood flow. The method uses particle image velocimetry and phase-contrast MRI to simulate blood flow patterns, allowing for non-invasive detection of valve dysfunction.
Researchers at EPFL's Emerging Complexity in Physical Systems Laboratory identified the mechanism behind a phenomenon where chaotic turbulence transitions to perfectly parallel patterns. Their findings could help better control flows and understand turbulent-laminar interactions.
Researchers developed a physical model describing crowd movement and behavior, predicting speed information spreads through the group like waves. The generic description can accurately predict crowd flows in various settings, with little variation between groups.
Researchers on the International Space Station are studying ferrofluids with magnetic fields to create pump systems without mechanical moving parts. This could extend system lifetimes and improve performance in next-generation space vehicles.
Linköping University researchers have developed a method to simulate the heart's function using CT scan data, which may revolutionize cardiovascular disease diagnosis. This technique allows for quick and easy investigations, enabling the study of blood flow in individual patients.
Scientists at Lomonosov Moscow State University have developed a new theory explaining the inertial lift force acting on finite-sized particles in microchannels. This phenomenon enables efficient particle sorting, including separation of healthy cells from cancerous ones.
A new simplified model predicts patterns that form from honey-like fluids, influenced by the ratio between fluid speed on impact and conveyor belt speed. The team's findings match previous experimental results and may be used to optimize manufacturing processes for nonwoven materials.
Scientists at OIST created models to investigate mixtures of self-motile and passive agents, finding that only a low fraction of self-motile agents are needed to achieve desired flow patterns. This research has promising applications in microfluidic processes such as water purification and self-powered drug delivery systems.
The Institute for Genomic Biology has received a highly parallel shared memory supercomputer named Ember, bolstering its computing services. The system will enable larger projects in genomics and transcriptomics research, improving genome and transcriptome assemblies.
A VTT researcher has provided an explanation for sliding friction between solid objects, attributing it to surface energy of materials. The discovery enables quantitative calculation of the friction coefficient and potential manipulation of friction by selecting specific surface materials.
Researchers created a new design for mechanical heart valves that closely matches the pattern and rate of blood flow found in healthy hearts. The asymmetric valves improved cardiac function, reducing the effort required by the heart muscle and restoring its regulatory mechanism.
A new method has been developed to estimate uncertainty in particle image velocimetry, a widely used technique in fluid mechanics. The approach allows for more accurate results and increased reliability in flow measurements, with potential applications in fields such as aerodynamics, hydrodynamics, and biomedical research.
Hassan Aref, a Virginia Tech professor, has been awarded the G.I. Taylor Medal for his outstanding contributions to fluid mechanics research. His work includes shedding new light on chaotic motion and its applications.
Researchers at MIT have found an elegant solution to the mystery of gravity fingers, explaining how water forms finger-like paths as it flows through soil. The solution, which involves incorporating surface tension into mathematical models, has wide-ranging implications for science and engineering applications.
Researchers at Princeton University developed a new modeling technique that can predict and negate the noise produced by air flowing across a car's sunroof. The technique uses computer simulations to manipulate the air flow and cancel out the acoustic waves, resulting in a quieter aircraft. This innovation has important military applic...
Penn State researchers aim to develop a small, effective pediatric heart assist system for infants, children, and teens. The goal is to create a device that can provide support for at least six months until the heart recovers or a donor heart is found.
The Georgia Tech research aims to develop advanced Computational Fluid Dynamics (CFD) techniques to study blood flow turbulence in heart valves. The team will create a virtual environment that accurately models the turbulent flow environment, which could lead to better design and reduced thromboembolic complications.
Researchers at Stanford University propose using tiny jet turbines to create a system that prevents aircraft wings from stalling. This approach uses massively parallel mechanical systems, enabling the creation of large numbers of small devices for improved power density and reliability.