Articles tagged with Electrical Machinery
A research team at Saarland University has developed an AI-assisted method to determine temperature distribution inside a running electric motor in real time, without additional hardware. The system uses motor-condition data extracted from electromagnetic fields and can detect thermal overload and optimize power regulation.
Researchers have developed a low-cost fake drug detector that uses an infrared sensor to track pill dissolution rates. The device can identify legitimate medications from counterfeit ones with high accuracy, making it a valuable tool in the fight against global health threats.
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 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.
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 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.
A new study by Purdue University engineers warns that a nationwide switch to electric homes and vehicles could overwhelm the power supply, leading to increased risk of outages. However, key measures such as home insulation, equipment efficiency, and coordinated device operation can reduce costs by up to 40%.
Researchers used foam-entrapped supercritical CO2 to prevent stored carbon from moving back to the surface. The approach shows promise for enhancing oil recovery and reducing CO2 migration.
Larry Seiber, an R&D staff member at Oak Ridge National Laboratory, has achieved senior member status in the Institute of Electrical and Electronics Engineers. He has conducted extensive research in power electronics and electric machinery, resulting in multiple patents and notable awards.
New research from Bayes Business School finds that launching new technologies requires strategic timing to succeed. The study identifies four timing situations that can confront marketing managers, offering a framework to develop a launch strategy leading to success.
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 recent study published in Engineering Construction & Architectural Management identified the main obstacles preventing digital transformation in the engineering and construction industry. The three main problems are a lack of laws and regulations, a lack of support and leadership, and a lack of resources and professionals.
The report reveals that electronic waste generated in the region rose by 50% between 2010 and 2019, with only 3.2% collected and safely managed. The regional e-waste total jumped from 1.7 Mt to 2.5 Mt, with Russia generating the most e-waste.
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.
New research from Shibaura Institute of Technology reveals that spark plasma sintering produces highly dense MgB2 bulks with improved mechanical and superconducting properties. The resulting samples exhibit superior strengths and high trapped field performance, making them suitable for space applications and electric machines.
Soft magnetic materials are crucial for designing efficient electric machines, but current characterization methods are inadequate for applications like traction drives. Researchers offer improvements to guide the selection of the most suitable material.