Results 91 to 100 of about 69,718 (254)

Heat Load Mitigation Studies in the W7‐X Stellarator Experiment

open access: yesContributions to Plasma Physics, EarlyView.
ABSTRACT During the experiments at the stellarator Wendelstein 7‐X (W7‐X) with fully water‐cooled plasma‐facing components (PFC), including carbon‐fiber composite (CFC) divertor targets with a thermal load capability of 10 MW/m2, high performance was achieved.
Dirk Naujoks   +11 more
wiley   +1 more source

Damage tolerance of nuclear graphite at elevated temperatures

open access: yesNature Communications, 2017
Nuclear-grade graphite is an important high-temperature structural material for fission reactors. Here, the authors perform simultaneous X-ray tomography and mechanical testing on a nuclear-grade graphite, finding simultaneous improvement of strength and
Dong Liu   +4 more
doaj   +1 more source

Surface hydration‐induced damage in tight oil‐bearing sandy conglomerate reservoirs

open access: yesDeep Underground Science and Engineering, EarlyView.
A series of techniques such as X‐ray diffraction, scanning electron microscopy, energy‐dispersive spectroscopy, conductivity tests, and infrared thermal imaging were used. The key findings are the identification of a two‐stage surface hydration process and the elucidation of the effects of various minerals and elements on the hydration process ...
Anbang Zhao   +5 more
wiley   +1 more source

Flame‐Retardant Bio‐Based Thermo‐Flexible Phase‐Change Composites with Antivibration and Low‐Contact Resistance for Advanced Battery Thermal Management

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
Flame‐retardant bio‐based thermo‐flexible phase‐change composites for advanced battery thermal management. Batteries face critical challenges in thermal management, including overheating risks, poor interfacial contact, and mechanical vibration–induced performance attenuation.
Shichao Feng   +7 more
wiley   +1 more source

Infrared thermography in the evaluation of meibomian gland dysfunction

open access: yesJournal of the Formosan Medical Association, 2017
To evaluate meibomian gland dysfunction (MGD) by infrared thermography. Methods: An observational study was conducted at the Department of Ophthalmology, Far Eastern Memorial Hospital, New Taipei City, Taiwan. Participants included 89 MGD patients (30 in
Tai-Yuan Su   +5 more
doaj   +1 more source

Using infrared thermography for monitoring thermal efficiency of buildings - case studies from Nottingham Trent University [PDF]

open access: yes, 2010
Global warming and the continuous increase of energy cost are driving the need for reducing energy consumption. Buildings are responsible for approximately 50% of the UK energy consumption.
Al-Habaibeh, A   +4 more
core  

Machine‐Learning‐Enabled Wood with Nanopump Functionalization for Solar Interfacial Evaporation

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
This study employed machine learning to design an iron‐cobalt‐carbon‐wood photothermal material, achieving high‐efficiency evaporation at 2.807 kg m−2 h−1 and excellent salt resistance. The integrated system increased the daily water production efficiency of solar distillation by 1.5 times, providing an innovative solution for sustainable seawater ...
Chaohai Wang   +10 more
wiley   +1 more source

Solar Fuels Via Methane Valorization: Thermochemical Pathways, Unified Metrics, and Techno‐Economic Perspectives

open access: yesENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A first‐of‐its‐kind review benchmarks three solar methane valorization pathways with unified performance metrics for clean fuel production. Meeting global climate targets and sustainable energy demands requires carbon‐neutral fuels and innovative conversion pathways.
Muhammad Abdulmoez   +3 more
wiley   +1 more source

The Discontinuous Carbon Fiber Composite: a Review of the Damage Characteristics [PDF]

open access: yes, 2015
Discontinuous carbon fiber composite (DCFC) is one of new low-cost material product form that had applied for commercial component such as window frames of the Boeing 787 Dreamliner.
Bale, J. (Jefri)
core  

Real‐Time Data‐Driven Fault Diagnosis of Photovoltaic Arrays Using an Edge‐Server Machine‐Learning Framework

open access: yesEnergy Science &Engineering, EarlyView.
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan   +4 more
wiley   +1 more source

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