Articles tagged with Machine Design
Researchers at Saarland University developed metallic glasses to reduce energy losses in electric motors, enabling more efficient operation. The new alloys minimize energy consumption in everyday devices, extending the range of e-scooters and drones.
A breakthrough AI system called OmniPredict can predict human pedestrian behaviors with unprecedented accuracy, revolutionizing self-driving cars and urban mobility. The model combines visual cues with contextual information to anticipate pedestrians' next moves, reducing the risk of accidents and improving traffic safety.
The article reviews and expands the active damping strategy for permanent magnet motor drive systems with LC filters, analyzing its stability, dynamic performance, robustness, and algorithm complexity. A new expansion using capacitor current feedback with high-pass filter is proposed to overcome resonance suppression problems.
Researchers observed significant increase in tear film lipid layer thickness and corneal temperature during VR sessions, suggesting stabilization of the tear film. The study provides early insights for VR headset design and usage considerations related to eye comfort and health.
Researchers propose a novel analytical model that considers multiple nonlinear factors in motor performance calculation, reducing errors caused by magnetic saturation. The new method significantly improves design efficiency and prediction accuracy, cutting development time and cost.
New research shows a small reduction in quad bike deaths at work in Australia since the introduction of new safety standards, but public health experts emphasize the need for continued action to keep Australians safe.
Southwest Research Institute (SwRI) is expanding its heat exchanger testing capabilities to include megawatt-scale performance evaluations. This move addresses a significant market gap for high-heat transfer rates involving high-temperature and -flowrate applications in data centers, defense, and other fields.
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.
Researchers developed an air-powered computer that sets off alarms when certain medical devices fail, preventing blood clots and strokes. The device uses air to issue warnings, reducing costs and improving safety in healthcare settings.
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.
Research at Tampere University aims to develop adaptable safety systems for autonomous off-road mobile machinery. The framework focuses on ensuring public safety without compromising technological advancements, incorporating a human-in-the-loop safety option.
A researcher at West Virginia University is using 'reverse engineering' to study the structural characteristics of slot machines and their impact on players. The study aims to understand what makes these games immersive and how they interact with individual vulnerabilities, ultimately informing the development of safer gambling products.
Researchers developed an unmanned forestry machine that can safely pick up logs using computer vision, autonomous navigation, and manipulator control algorithms. The machine reduces labor costs while minimizing environmental impact, promoting sustainable forestry.
Researchers at UC Santa Barbara developed an adaptive roof tile that can switch between heating and cooling modes based on temperature. The device, powered by a wax motor, has been shown to reduce energy consumption for cooling by 3.1x and heating by 2.6x compared to conventional devices.
Researchers at TU Delft and EPFL collaborated with ChatGPT to design a tomato-harvesting robot, showcasing the potential of AI in robotics. The study highlights the need for verification and validation of LLM output to prevent misinformation and bias.
Researchers have created two novel adjuvants that significantly enhance the immune response to vaccines. The new adjuvants target toll-like receptors and are designed to be tailored for every individual vaccine, potentially reducing side effects and increasing effectiveness.
A team of researchers from Waseda University developed a novel solution to efficiently solve complex optimization problems using Ising machines. Their hybrid algorithm reduces residual energy and reaches more optimal results in shorter time, increasing the machine's applicability across industries and sustainability practices.
Researchers at the University of Bath have developed a new coating method for soft robots that allows them to change shape and movement through human-controlled activity. This breakthrough in active matter could lead to the creation of machines governed by individual units that cooperate to determine movement and function.
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.
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.
The AI optimization improves the motor's power factor, reducing disruptions to the power grid. The optimized motor shows excellent performance, with improved efficiency and increased torque while drawing less current.
The University of Huddersfield's Centre for Precision Technologies will receive £3m funding to drive advancements in machinery design and performance. The project aims to grow the UK's advanced machinery capability to a £2 billion export capacity within ten years, creating over 30,000 high-value manufacturing sector jobs.
Researchers at the U.S. Army Research Laboratory found that emotion expressions can shape cooperation in autonomous systems. They suggest guidelines for designing machines that promote cooperation with soldiers by using a combination of action and emotion displays.
PDM Analysis has introduced SCORG alto, a cloud-based mechanical analysis software tool that improves compressor efficiency. The new platform is accessible through any smart device and boasts several advantages over its predecessor.
Researchers at Stanford and UMass Amherst develop a new technique to create machine-learning algorithms that can learn to avoid undesirable outcomes such as gender bias and excessive risk. Their approach, called the Seldonian algorithm, enables users to specify what behaviors they want an AI system to avoid with high probability.
Researchers have created a stand-alone molecular motor with multiple components that can move independently, opening the door to creating nanoscale devices. The motor uses thermal excitation and electron energy to rotate clockwise and counterclockwise.
Computer scientists demonstrate that hackers can steal votes using a malicious programming approach called return-oriented programming. The study shows that even voting machines designed to resist takeover can be compromised if not updated with the latest security patches.