Articles tagged with Mechanical Components
Binghamton University professor Mohammad Younis leads a project to develop an ultrasensitive gas detection MEMS device with autonomous actuation to detect thermal runaway in lithium-ion batteries. The device features a vibrating wire and thermal conductivity principle, and can be self-contained and act autonomously
Researchers at KAIST create a metal structure that changes shape using light, without any light-absorbing coating. The technology could enable new possibilities for tactile interfaces and wearable devices.
A University of Houston engineer developed a real-time safety system for quadrotor drones that can prevent accidents caused by unexpected events. The new technology uses a 'safety supervisor' module to monitor the drone's tilt and position in real time, ensuring it stays within safety limits.
Researchers developed piezoelectric patch sensors that track finger movements to play rock-paper-scissors, promoting self-motivated healthcare and entertainment. The sensors provide quantifiable data and objective feedback, improving patient outcomes through accessibility, independence, and motivation.
The new facility enables scientists to observe and measure detonation forces in unprecedented detail, shedding light on industrial safety risks and potential breakthroughs. Researchers aim to develop safer designs and protocols by examining detonation disasters like the Buncefield Fire.
Researchers at Saarland University have developed a new class of miniature actuators using ultrathin silicone film-based pumps. The pumps can operate without motors, compressed air, or lubricants and can be switched on and off as needed.
A University of Houston professor has found that tree-like thin films release heat at least three times better than traditional methods, enabling more efficient cooling in AI data centers. The discovery demonstrates the power of physics-aware AI design for validating high-impact cooling solutions.
Researchers at Harvard University have developed a new design method for optimizing rolling contact joints in robots, which can lead to better grippers, assistive devices, and more efficient robotic movement. The optimized joints performed spectacularly, correcting misalignment by 99% in knee-assist devices.
Southwest Research Institute (SwRI) will predict F-16 landing gear component lifespan and recommend maintenance improvements under a $9.9 million contract. The seven-year agreement leverages SwRI's aging aircraft expertise in probabilistic analysis, fatigue testing.
A team of engineers at Harvard John A. Paulson School of Engineering and Applied Sciences designed a proof-of-concept walking robot using only four moving parts connected by rubber bands and powered by one motor. The robot can find its way through mazes, avoid obstacles, and sort objects by mass without electronic control systems.
Researchers at Princeton University have developed a new type of origami that changes its shape and properties in response to external stimuli. By introducing elastic components, they can execute precise folding patterns not previously possible. This technology has potential applications in prosthetics, antennas, and other devices.
HIT researchers created multi-material, multi-responsive, multi-shape shape memory polymer (SMP) gradient metamaterials with tunable properties. These smart materials can adapt to different tasks without extra tools or infrastructure, enabling applications such as secure information storage and soft robotic systems.
Researchers develop smart planning systems to predict weld bead geometry and optimize deposition paths, reducing thermal stresses and defect rates. Innovations in real-time monitoring and auxiliary strategies improve material integrity and mechanical properties.
International Journal of Extreme Manufacturing (IJEM) achieves a new Impact Factor of 21.3, surpassing 20 for the first time and maintaining its position as top journal in the field. IJEM has attracted submissions from 853 institutions in 81 countries.
Researchers at Harvard developed link-bots, centimeter-scale robots composed of V-shaped chains with notched links, capable of coordinated movements and emergent collective behavior. The team demonstrated link-bots' ability to move forward, stop, change direction, squeeze through gaps, and cooperate on tasks.
A team of researchers at Texas A&M University has received a $1.6 million grant to develop a system for rapidly accelerating the certification process of 3D-printed critical components used in military applications.
Southwest Research Institute (SwRI) will help the US Air Force modernize methods to sustain three fleets of military aircraft, including the T-38 Talon, A-10 Thunderbolt II, and B-52 Stratofortress. The institute's analyses will aid in determining when structural repairs are necessary.
Researchers at UNIST developed zeolitic imidazolate frameworks that mimic intricate machines, exhibiting precise control over nanoscale mechanical movements. The discovery has significant implications for applications in data storage, digital technology, and beyond.
Researchers at North Carolina State University developed a mechanical computer that uses a complex structure of rigid polymer cubes to store, retrieve and erase data. The system has reversible features allowing users to control when data editing is permitted.
A new digital twin of laser-directed energy deposition repair technology has been developed to improve industrial sustainability. The system automatically determines optimum forming conditions, reducing metal powder waste and increasing the effectiveness of the repair process.
Research by Lero and Motion-S found that fitting all UK cars with Advanced Driver Assistance Systems (ADAS) could prevent 24% of road crashes. Automatic Emergency Braking (AEB) is the most impactful technology, reducing three out of four most frequent accident categories.
Researchers at the University of Oldenburg and Fraunhofer IWES collaborate on a new project to develop more accurate wind flow simulations using artificial intelligence. The goal is to reduce computing times and enhance precision, ultimately accelerating innovation in wind turbine design.
Researchers use machine learning to automatically analyze Reflection High-Energy Electron Diffraction (RHEED) data, enabling faster and more efficient discovery of new materials. The study focused on surface superstructures in thin-film silicon surfaces and identified optimal synthesis conditions using non-negative matrix factorization.
A novel solution uses ultrasonic technology to detect critical form of lubrication between a railway wheel and the track, reducing maintenance costs and improving safety. The automated vehicle-mounted system will communicate presence and absence of lubrication to Network Rail.
Researchers at Aarhus University have developed a simple analytical model to predict chip formation and optimize surface finish in manufacturing processes. The study reveals the critical cutting depth for almost every material, tool geometry, and running conditions, minimizing tool wear and improving product quality.
Researchers identified three MOFs providing the most energy efficient capture of SF6 under vacuum swing adsorption, while two others showed best performance under pressure swing adsorption. The study suggests that materials optimal for one process may not be optimal for the other.
Researchers from Osaka University introduced a non-contact quality control technology to 3D printing by detecting fine-scale defects below the surface of 3D-printed metal assemblies. They used laser ultrasonics to uncover small defects that are frequently difficult to image.
Researchers found significant periodic flow velocity fluctuations in fuel injector ignite combustion oscillations, leading to high mechanical stress on the combustion chamber. The findings provide a reasonable answer for why these oscillations occur and have significant implications for preventing fatal damage in critical engines.
Researchers at IST Austria developed an interactive design tool that allows users to easily adjust a mechanical template to fit their desired shape. This tool guarantees functionality while enabling artists to make aesthetic adjustments, making it possible for novice users to create functional models with ease.