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Leveraging the numerous advantages of ammonium‐ion (NH₄⁺)—including cost‐effectiveness, low corrosiveness, preferential orientation, and rapid diffusion kinetics—aqueous NH₄⁺ batteries (AAIBs) have gained significant attention. This review highlights and evaluates the progress of AAIBs utilizing organic electrode materials such as small molecules ...
Mangmang Shi, Xiaoyan Zhang
wiley +1 more source
Shapeshifting Liquid Metal Droplets for Soft Fluidic Machines
This study presented a liquid metal shape shifting strategy which harnesses Lorentz force, surface tension and fluid instabilities to achieve autonomous fluidic power. By using a liquid metal droplet as a mobile current carrier, this strategy enables the development of low‐voltage, self‐oscillating pumps that outperform existing soft pumps.
Saba Firouznia +5 more
wiley +1 more source
The Promise of Solid Lubricants for a Sustainable Future
Lubricants are vital for technology, saving energy and resources. The industry seeks sustainable solutions beyond fossil fuels. Solid lubricants offer extremely low friction and reduce environmental impact, especially in harsh conditions. Can these solids truly replace liquid lubricants, or are they limited to extreme applications?
Philipp G. Grützmacher +7 more
wiley +1 more source
Electret‐style organic thin‐film transistors are evaluated for synchrotron X‐ray dosimetry at ultra‐high dose rates, showing promising performance and agreement with standard detectors. XPS and NEXAFS reveal radiation‐induced oxidation and Fermi level shifts in pentacene and polystyrene, correlating with reduced charge carrier mobility and providing ...
Alexandria Mitchell +12 more
wiley +1 more source
Effects of adhering layer on tool wear progression in machining of free-cutting stainless steels
Dong Zhang
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Prediction of Tool Wear by Using RGB Techniques in Comparison with Experimental Analysis
2022 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI), 2022Cutting tool wear is the single biggest cause of lost productivity in the manufacturing industry. Monitoring and diagnosing the cutting tool wear condition prior to failure is crucial for improving machining quality and maximising production profits ...
Dilli Ganesh, V. R. Bommi
semanticscholar +1 more source
A Meta-Invariant Feature Space Method for Accurate Tool Wear Prediction Under Cross Conditions
IEEE Transactions on Industrial Informatics, 2022Cross conditions prediction is a prevalent problem in manufacturing area, where tool wear prediction is a typical one. Existing data-driven methods for tool wear prediction mainly focus on cutting conditions with small variations, which encounters much ...
Changqing Liu +3 more
semanticscholar +1 more source
Tool Wear Mechanisms And Tool Wear Modelling For CFRP Drilling [PDF]
Carbon fibre reinforced polymers (CFRP) are increasingly being used in aerospace structures due to high specific stiffness and good corrosion resistance. Drilling holes for the mechanical fastening of CFRP assemblies is one of the final stages of manufacture and any errors may result in the rejection of the entire assembly. Hole quality and the rate of
McClelland, John +7 more
openaire +2 more sources

