Add BrightSurf on Google Email

UESTC researchers unveil ultra-wideband, low-profile antenna for airborne applications

The study introduced an omnidirectional circular ring antenna that operates across a broad frequency range (150 MHz–600 MHz) while maintaining a low profile. The antenna features a compact design, achieving an impedance bandwidth of 12:1 and a lateral diameter of 0.19 times the wavelength.

SourceJournal of Electronic Science and Technology·JournalJournal of Electronic Science and Technology·TypeExperimental study·DateFeb 25, 2025

Pusan National University scientists designed a new model to predict metal wear for safer, lighter cars and planes

Researchers at Pusan National University developed a hybrid model to predict metal wear in magnesium alloys, enabling safer, lighter designs. The model combines machine learning and physics to improve fatigue life prediction, offering greater predictive reliability for enhanced safety and longevity.

SourcePusan National University·JournalJournal of Magnesium and Alloys·TypeComputational simulation/modeling·DateDec 10, 2024

Robot flies like a bird

A robotic bird model with real pigeon feathers replicates the continuous adjustments made by birds to stabilize their flight. The robot's algorithm enables rudderless flight, a long-sought innovation in aviation that could lead to more fuel-efficient airplanes and improved jet fighter operations.

SourceUniversity of Groningen·JournalScience Robotics·TypeExperimental study·DateNov 20, 2024

Pusan National University researchers propose a novel compact meta-silencer design

Researchers propose a novel compact meta-silencer design leveraging acoustic black hole and rainbow trapping effects to reduce low-frequency noise. The study demonstrates improved performance with coiled-up slits, achieving an average sound transmission loss of 6.73 dB across a broad frequency band.

SourcePusan National University·JournalMechanical Systems and Signal Processing·TypeExperimental study·DateSep 11, 2024

Study on planet-warming contrails “a spanner in the works” for aviation industry

A new study reveals that modern commercial aircraft create longer-lived planet-warming contrails than older aircraft, potentially offsetting their lower carbon emissions. The research highlights the challenges of reducing aviation's climate impact, with private jets also found to produce more contrails than previously thought.

SourceImperial College London·JournalEnvironmental Research Letters·DateAug 7, 2024

Novel diamond quantum magnetometer for ambient condition magnetoencephalography

Researchers have developed a highly sensitive diamond quantum magnetometer that can achieve practical ambient condition magnetoencephalography. The novel magnetometer uses a single crystalline diamond to detect magnetic fields, achieving record sensitivities of up to 9.4 pT Hz-1/2 in the frequency range of 5 to 100 Hz.

SourceTokyo Institute of Technology·JournalPhysical Review Applied·TypeExperimental study·DateJun 6, 2024

Silent flight edges closer to take off, according to new research

Researchers at the University of Bristol have solved the mystery of how futuristic aircraft embedded engines make noise. They discovered that the noise pattern changes depending on the fan's thrust level, with higher thrust producing a noise similar to traditional fans and lower thrust causing the duct itself to make more noise.

SourceUniversity of Bristol·JournalJournal of Fluid Mechanics·TypeExperimental study·DateApr 18, 2024

Virtual noise assessment for passenger jet of the future

Researchers used psycho-acoustic simulations and auralization to assess the noise emissions of new aircraft designs, including a blended wing body. The results show that the new design is rated significantly less noisy than conventional passenger jets, with take-offs leaving a more unfamiliar sound impression.

SourceSwiss Federal Laboratories for Materials Science and Technology (EMPA)·JournalAerospace Science and Technology·TypeMeta-analysis·DateJan 25, 2024

A Space: Science & Technology study advances numerical research for optimizing micronozzle performance

Researchers optimize micronozzle design through numerical simulation and design optimization to improve thrust force and specific impulse. The study finds that wall heat transfer, convergence duct design, throat shape, and expander structural parameters significantly affect nozzle performance.

SourceBeijing Institute of Technology Press Co., Ltd·JournalSpace: Science & Technology·DateJun 20, 2023

UCLA engineers design AI material that learns behaviors and adapts to changing conditions

Researchers develop mechanical neural networks (MNNs) with tunable beams that can learn behaviors and adapt to external forces. The MNNs, composed of a triangular lattice pattern, exhibit smart properties through machine learning algorithms. Early prototypes overcame lag issues and achieved accurate performance in various applications.

SourceUniversity of California - Los Angeles·JournalScience Robotics·TypeExperimental study·DateOct 19, 2022

Engineers study bird flight

A new study reveals how gulls adjust their wings to control stability in the air, employing wing morphing to respond to gusts and turbulence. The findings have implications for designing more agile drones and aircraft with improved maneuverability.

SourceUniversity of California - Davis·JournalProceedings of the National Academy of Sciences·TypeExperimental study·DateSep 5, 2022

Researchers at the GIST develop design scheme for fiber reinforced composites

Researchers at GIST have developed a new approach for designing fiber reinforced composites, which can simultaneously optimize the macrostructure and microscale fiber densities. This method, based on multiscale topology optimization, enables the creation of functionally graded composites with improved strength-to-weight ratios, benefit...

SourceGIST (Gwangju Institute of Science and Technology)·JournalComposite Structures·TypeComputational simulation/modeling·DateFeb 24, 2022

New tool can detect a precursor of engine-destroying combustion instability

A team of scientists from Tokyo University of Science has developed a machine learning-based tool to predict thermoacoustic oscillations in engines. The tool uses dynamical systems theory and can classify combustion into three states, identifying pressure fluctuations that indicate future combustion oscillations.

SourceTokyo University of Science·JournalAIAA Journal·TypeComputational simulation/modeling·DateNov 18, 2021

A computationally quick approach to predict molten droplet solidification on a solid surface

Researchers from Tokyo University of Science developed a computationally quick approach to predict molten droplet solidification on a solid surface. The model simulates the solidification process by considering the droplet behavior and heat transfer between the hotter droplet and cooler surface, replicating experiments with high accuracy.

SourceTokyo University of Science·JournalInternational Journal of Heat and Mass Transfer·TypeComputational simulation/modeling·DateOct 12, 2021