Articles tagged with Industrial Engineering
Researchers at Queen Mary University of London developed a graphene-based material for soft lenses that can change focus electronically without bulky moving parts. The technology has the potential to open up new applications in medical imaging devices, autofocus cameras, wearable displays and scientific instruments.
Researchers have developed a numerical model that explains how increasing ultrasonic power reduces chemical reaction rates in sonochemistry. The model shows that oscillating bubbles emit their own sound waves, generating unwanted noise that distorts the ultrasonic field and limits reaction efficiency.
Researchers developed a novel thermal interface material using graphene oxide-bridged carbon fibers, achieving a 41-fold increase in thermal conductivity and a 57.6% improvement over traditional composites. The composite demonstrated excellent mechanical stability and resilience, making it suitable for advanced electronics cooling.
Researchers have developed a novel hybrid control strategy for quasi-zero stiffness isolators, addressing payload variations and residual resonant peaks. The 'smart cushion' can adapt to changing loads in seconds, making it crucial for precision applications like chip manufacturing and robot handling of fragile goods.
A Chinese research team has proposed a novel approach to separate dimethyl carbonate from methanol using a tailor-made ionic liquid and heat pump-assisted distillation. The method significantly reduces energy consumption and costs compared to traditional methods, making it an attractive solution for the chemical industry.
A new collaborative study has developed an electrochemical device that can pull carbon dioxide directly from the atmosphere using electricity and water-based chemistry, addressing the planet's excess CO2 problem. The technology is designed to reduce new emissions and remove CO2 that has already accumulated in the atmosphere.
The study examines electrolysis technologies, cost variations, market development rules, and policy mechanisms for green hydrogen production. It highlights the importance of infrastructure, regulatory standards, and investment incentives for widespread adoption.
A novel approach using silica microspheres encapsulates colorants in plastics, allowing for easy recycling and selective separation of colors. This technology enables the reuse of high-value resources from previously downcycled plastics, significantly reducing energy consumption and environmental impact.
A study at Baystate Medical Center identified factors such as emergency surgeries, chest and heart procedures, and taxing operations affecting surgeons' schedules. These insights aim to optimize surgical scheduling, reduce waste, and improve patient outcomes.
A modular nanorobot with a magnetic propulsion module and payload capsule has been developed by researchers at the University of Basel. The system can be adapted to different applications and has shown promise in delivering therapeutic agents to cancer cells, reducing viability by 16% within 72 hours.
A team at the University of Basel has developed a modular nanorobot with propulsion and payload modules that can be used in medicine to deliver active substances to specific locations in the body. The technology also has potential applications in industry and environmental technology.
PLSaoNET proposes a partial least squares (PLS)-assisted optimization network to tackle the challenges of industrial sensing data. The model introduces a PLS-based initialization mechanism and stratified sampling-based training strategy, achieving better modeling accuracy and robustness.
Researchers have discovered a new iron–scandium catalyst that stabilizes iron catalysts and enables the growth of centimeter-long carbon nanotubes under high-temperature conditions. The study reveals scandium as a key cocatalyst, improving catalyst lifetime and promoting CNT growth.
Researchers create self-regulating electrolyzer that produces solar fuels stably without relying on batteries, reducing costs and complexity. The new system autonomously adjusts its electrical behavior through thermal properties, keeping fuel production stable throughout the day.
A systematic review synthesizes 95 core studies to map machine learning (ML) advances for pipelines across the full lifecycle. ML techniques boost generalizability, quantify uncertainty, and embed physical laws, achieving near-physics fidelity with significant speedups.
Large-scale simulations show that chemical impurities trigger graphitic interface formation in amorphous carbon, promoting low-friction surfaces. Hydrogen and oxygen-based impurities help stabilize tiny voids within the carbon network.
A team of researchers proposes a deep learning architecture called CCDNN to learn correlated representations for multi-source data fusion. The method demonstrates promising performance, surpassing existing methods in reconstruction tasks and achieving better results in industrial fault diagnosis and remaining useful life cases.
Researchers have developed a series of carbonyl-rich carbon sphere catalysts with unique wrinkled surface architecture, significantly enhancing the catalyst's performance in hydrogen peroxide electrosynthesis. The optimized catalyst achieved high H2O2 selectivity and efficiency.
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 review data-driven leakage diagnosis methods connecting single pipeline analysis with energy transmission systems, focusing on nonlinear mapping and spatiotemporal feature extraction. Advanced signal processing and multi-modal fusion techniques improve detection accuracy in complex scenarios.
Quaise Energy is building the world's first power plant using superhot geothermal energy, with the goal of producing at least 50 megawatts of clean electricity. The project aims to harness temperatures greater than 300 degrees C and validate its long-held hypothesis that higher subsurface temperatures can improve power production.
New Oxford analysis finds that up to 90% of industrial energy demand could be electrified with existing technologies, but policy failures and technology risks hold back deployment. Electrification offers a pathway to stable and resilient energy costs, reducing exposure to geopolitical disruption and price volatility.
A new study introduces AI-based control strategies that ensure local grids remain reliable and resilient. By utilizing Artificial Neural Networks, the system can predict and compensate for grid changes in real-time, outperforming traditional control methods.
Researchers developed inch-scale, binder-free ultrahard diamond wafers with Vickers hardness exceeding 200 GPa. The ultra-hard diamond wafer exhibits outstanding wear resistance and structural stability, making it suitable for applications in extreme-environment electronics, advanced manufacturing, and semiconductor thermal management.
Scientists in China have designed MOFs with 3D pyr-topology frameworks and polyhedral cages to efficiently purify methane from natural gas. The materials exhibit high adsorption capacities for C3H8 and C2H6 but extremely low CH4 uptake.
Researchers developed an efficient system to detect subtle defects missed by existing inspection systems. The MambaAlign framework captures long-range and orientation-aware context using state-space refinement, achieving improved localization and detection accuracy without excessive computational overhead.
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.
Osaka Metropolitan University scientists have created a molecule that naturally forms p/n junctions, structures vital for converting sunlight into electricity. The new design offers a promising shortcut to producing more efficient organic thin-film solar cells.
The article reviews corrosion challenges in supercritical offshore CO2 pipelines, highlighting external and internal corrosion processes. The authors propose multiple impurity management, internal coatings, inhibitors, and external coatings as mitigation measures.
The University of Birmingham has launched a new facility for separating and recycling rare earth magnets, reducing the UK's reliance on imports. The facility uses an innovative hydrogen-based process that can recover over 400kg of rare earth alloy per batch.
A new spray-applied polyurea-based nanocomposite sensing coating integrates covalently functionalized graphene nanoplatelets into a two-component polyurea matrix. This enhances processability, weatherability, and establishes a robust conductive network for reliable resistive sensing.
Researchers from Japan successfully downscaled a total ferroelectric memory capacitor stack to just 30 nm, maintaining high remanent polarization and paving the way for compact and efficient on-chip memory. This breakthrough demonstrates compatibility with semiconductor devices and paves the way for future technologies.
Scientists have created a high-performance cathode material for aqueous zinc-ion batteries by converting a layered MXene into an amorphous form. The new material, a-V₂CT_x, shows remarkable improvements in capacity, charging speed, and durability.
The European Science Communication Institute launched its 2nd MASTER Open Call in April 2025. The selected projects will focus on validating and applying XR-based solutions to enhance learning experiences.
Scientists established a definitive charge-driven mechanism underlying the non-thermal catalytic enhancement observed in DC-applied DRM, focusing on Pd/CeO2 as a model catalyst. The study reveals a cooperative mechanism between trapped electrons and strain-induced holes as the microscopic origin of non-thermal catalysis under DC applic...
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.
Researchers at University of East London found that discarded seashells can be transformed into a low-carbon concrete ingredient, reducing carbon emissions by up to 36%. The study suggests a promising opportunity for industry to adopt sustainable cement alternatives.
Researchers at Pusan National University have developed a new framework for predicting vessel turnaround time by leveraging queuing-based operation indicators. This dynamic approach captures time-varying fluctuations in port operations, offering a more accurate and actionable forecast.
Researchers have successfully grown platinum crystals in liquid metal using a powerful X-ray technique. The study reveals the formation and growth of crystals within liquid metals like Gallium, which could be used to create new materials for hydrogen extraction and quantum computing applications.
Researchers developed an automated high-throughput system capable of generating Process-Structure-Property datasets for superalloys. The system produced a dataset containing thousands of records in just 13 days, accelerating data-driven materials design by over 200 times.
Researchers used molecular dynamics simulations to investigate how polyamides adhere to alumina surfaces, finding that adhesion strength depends on polymer chemistry and surface termination. The study offers practical design guidelines for selecting surface treatments and polymer types, enabling the creation of stronger, lighter joints.
Researchers screened top-performing COFs for helium purification from natural gas and identified the best candidates for adsorption and membrane-based separations. Machine learning analysis revealed key descriptors governing helium purification performance, offering broader insights for future studies.
Duke University researchers have developed a printing technique that can create fully functional and recyclable electronics with features as small as tens of micrometers. This breakthrough has the potential to significantly reduce the environmental impact of the $150 billion electronic display industry.
Researchers have developed Laser Ablation Dry Aerosol Printing (LADAP) that generates nanoparticles from solid targets using pulsed laser ablation, enabling the printing of metals and oxides without inks. The technique produces structures with fine-resolution microstructures and thick deposition within a high-throughput process.
Researchers at Texas A&M University have developed a new framework to protect industrial processing facilities from cyber threats. The framework identifies vulnerabilities, detects abnormal activity in real-time, and provides safeguards and mitigation strategies to maintain safe operations.
Researchers develop an in-situ passivation strategy to overcome efficiency bottlenecks in thermally evaporated pure blue perovskite LEDs. The approach coordinates Pb(II) and suppresses halide-vacancy defects, achieving color-stable pure-blue emission with high luminance.
A new technique uses laser-induced folding to create highly transparent and ultra-smooth 3D microphotonic devices, setting a record length-to-thickness ratio. The method can be used to fabricate tiny optical devices, such as micro-zoom lenses and compact table structures with concave mirrors.
A new study published in Nature highlights the differences between hydrogen and carbon monoxide as reductants in oxide reduction, offering insights for more efficient and sustainable metal extraction. Hydrogen is found to facilitate faster and cleaner reaction kinetics, generating benign water vapor as a byproduct.
Binghamton University faculty have received over $4.4 million in National Science Foundation CAREER Awards to pursue innovative research in various fields. The awards recognize academics who have the potential to serve as role models and leaders in research and education.
The book provides a roadmap for sustainable and ethical leadership in engineering management, focusing on ESG reporting, CSR integration, and industry-specific insights. It offers practical tools and strategies for professionals to make informed decisions that reduce ecological impact and improve resource efficiency.
A research team developed an innovative unsupervised model for industrial anomaly detection using paired well-lit and low-light images. The model leverages feature maps, Low-pass Feature Enhancement, and Illumination-aware Feature Enhancement to detect anomalies while remaining lightweight and memory-efficient.
Recent advances in chemistry have led to innovations in industrial carbon capture technologies, reducing energy consumption by over 30% and improving efficiency. The research highlights novel amine blends, metal-organic frameworks, and electroswing technologies that can selectively capture CO2 with high efficiency.
Researchers developed a new testing method to assess floor slipperiness caused by dry contaminants, revealing particles like salt and flour can be just as dangerous as oil or water. The study found that even sparse layers of salt can reduce friction by up to 28%, making tile far slicker than permitted safety thresholds.
Researchers at Pusan National University developed a new Bayesian calibration framework to optimize digital twin models of automated material handling systems. The framework improves prediction accuracy by accounting for parameter uncertainty and discrepancy, enabling effective calibration with scarce field data.
Researchers propose sparse-view irradiation processing VAM (SVIP-VAM) to reduce projection data and computation time. The method enables structure manufacturing with a reduced number of projections, increasing the feasibility of sparse-view printing.
Lisa Maillart, PhD, has been named Department Chair of Industrial and Systems Engineering at the University of Pittsburgh Swanson School of Engineering. She aims to expand the department's growth in enrollment and guide interdisciplinary research on challenges like AI, health issues, and supply chain logistics.
Pusan National University researchers developed a comprehensive issue set for MDA implementation, covering technical, organizational, and environmental challenges. The framework helps manufacturers prioritize issues and address them proactively, enabling efficient and effective data-driven smart manufacturing.
A new approach to forest fire emergency response uses data-driven forecasting to anticipate where fires are most likely to occur. The system continuously adapts to changing conditions, ensuring resources are always positioned where they can be most effective.
A new study from Tulane University reveals that parts of New Orleans are sinking at an alarming rate, with some areas experiencing up to 2 inches of elevation loss annually. The findings highlight the need for ongoing monitoring and maintenance to ensure the city's flood defenses remain effective.
A collaboration between Aston University and RAD Global developed pioneering cold storage boxes to keep food fresh without grid electricity. The RADiCool system extends the safe selling window for fish from 12 to 24 hours, reducing waste and improving livelihoods.