Results 31 to 40 of about 7,020 (250)

Efficient Adsorption‐Based Direct Air Capture Via Triply Periodic Minimal Surface Architectures

Advanced Science, EarlyView.
Architected triply periodic minimal surface (TPMS) contactors reshape direct air capture by replacing straight‐channel diffusion limits with convection‐enhanced CO2 transport. Chaotic advection thins boundary layers and exposes fast adsorption sites, enabling 70%–75% more fast sites, 114% higher productivity, and 51.8% lower energy consumption than ...
Qingyang Shao, Zhuozhen Gan, Chengcheng Long, Man Zhang, Yihe Miao, Yuehui Li, Xuancan Zhu   +6 more
wiley   +1 more source

Leading the Pack: Next‐Generation Batteries for Humanoid Robotics

Advanced Science, EarlyView.
Humanoid robots challenge traditional and anticipated energy technologies. Humanoid robot benchmarks of runtimes and energy demands for industry applications inform humanoid robot battery design choices at the cell level, pack level, and system level.
Matthew Bergschneider, Jiaqi Ke, Jin Luo, Laisuo Su, Thomas Campbell, Yue Zhou, Kyeongjae Cho   +6 more
wiley   +1 more source

Ultrasonic Rainbow: A Meta‐Transducer for Frequency‐Selective Elastic Wave Control via Dithering‐Based Wavenumber Tuning

Advanced Intelligent Systems, EarlyView.
A piezoelectric meta‐transducer generates an ultrasonic rainbow, steering guided elastic waves to different angles according to frequency. A dithering‐based binary electrode design enables a closer realization of the target wavenumber filter, improving directional purity and suppressing unwanted lobes. Numerical and experimental validation demonstrates
Masoud Mohammadgholiha, Jochen Moll, Kilian Tschöke, Carsten Kruska, Sylvia E. Gebhardt, Luca De Marchi   +5 more
wiley   +1 more source

Through-life Data Exploitation to Reduce Downtime and Costs

Procedia CIRP, 2013
AbstractAerospace, vehicle and technology sectors all depend heavily on through-life recording, reviewing and managing user, support and technical data: from design, through in-service support, to disposal. The ability to exploit this kind of data efficiently and effectively is vital to improving safety, reliability, maintainability, supportability and
Huby, Giles, Cockram, James, Fleming, Mark   +2 more
openaire   +1 more source

AI‐Assisted IoT‐Enabled ECG Monitoring: Integrating Foundational and Generative AI Tools for Sustainable Smart Healthcare—Recent Trends

AI &Innovation, EarlyView.
ABSTRACT The rapid evolution of the Internet of Things (IoT) has significantly advanced the field of electrocardiogram (ECG) monitoring, enabling real‐time, remote, and patient‐centric cardiac care. This paper presents a comprehensive survey of AI assisted IoT‐based ECG monitoring systems, focusing on the integration of emerging technologies such as ...
Amrita Choudhury, Kandarpa Kumar Sarma, Lachit Dutta   +2 more
wiley   +1 more source

A Monte Carlo Diagnostic Analysis of Adaptive Maintenance Policies for Additive Manufacturing Systems

Modelling and Simulation in Engineering
This paper develops a simulation-based framework for condition-based maintenance (CBM) decision-making in Additive Manufacturing (AM) systems, with the aim of examining the trade-offs among system reliability, operational downtime, and maintenance cost ...
Khamiss Cheikh, EL Mostapha Boudi, Rabi Rabi, Hamza Mokhliss   +3 more
doaj   +1 more source

Analysing Effective and Ineffective Impacts of Maintenance Strategies on Electric Power Plants: A Comprehensive Approach

Energies, 2023
The maintenance strategy used in an electric power plant plays a crucial role in its overall performance and operational efficiency. An effective maintenance strategy describes the approach to exploiting various forms of maintenance (corrective ...
Tareq Ali Al Ameeri, Mohd Nizam Ab Rahman, Norhamidi Muhamad   +2 more
doaj   +1 more source

Potential contribution of biomass gasification‐based technology in energy transition: a technical review coupled with bibliometric studies

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Biomass gasification technology has been extensively researched around the world; however, there is a need to evaluate the current research landscape and evolutionary direction of research in the broader context of energy transition. A systematic bibliometric analysis of the Web of Science database was performed for articles that fall within ...
Olasunkanmi Opeoluwa Adeoye, Electo Eduardo Silva Lora, Rubenildo Vieira Andrade, Leonardo Peña Pupo, René Lesme Jaén, Osvaldo José Venturini   +5 more
wiley   +1 more source

Operationalizing BioSSbD: A safe‐and‐sustainable‐by‐design framework for biorefineries

Biofuels, Bioproducts and Biorefining, EarlyView.
Abstract Biorefineries are central to the transition toward a circular bioeconomy; however, their increasing scale and technological heterogeneity, and the integration of biological, chemical, and thermochemical processes introduce complex challenges related to safety, sustainability, and operational reliability. Existing Safe‐and‐Sustainable‐by‐Design
Fernando Ramonet
wiley   +1 more source

Predictive Maintenance and Fault Monitoring Enabled by Machine Learning: Experimental Analysis of a TA-48 Multistage Centrifugal Plant Compressor

Applied Sciences, 2023
In an increasingly competitive industrial world, the need to adapt to any change at any time has become a major necessity for every industry to remain competitive and survive in their environments. Industries are undergoing rapid and perpetual changes on
Mounia Achouch, Mariya Dimitrova, Rizck Dhouib, Hussein Ibrahim, Mehdi Adda, Sasan Sattarpanah Karganroudi, Khaled Ziane, Ahmad Aminzadeh   +7 more
doaj   +1 more source