Results 161 to 170 of about 3,956,939 (297)

Microfluidic Architecting of Patchy MXene Core‐Shell Particles for Ultralow‐Loading Photothermal Shape‐Memory Actuation

Advanced Functional Materials, EarlyView.
Spatially distributing Ti3C2Tx nanosheets into core‐shell architecture, rather than as directly dispersed flakes, mitigates aggregation and enhances photon harvesting. When the Ti3C2Tx core‐shell particles are incorporated into a shape‐memory polymer matrix at an ultralow loading of 0.0024 wt%, the improved photothermal conversion translates into ...
May Maung Zaw, Maxim M. Trubyanov, Qian Wang, Siyu Chen, Hongyi Chen, Keyu Chen, Hongbin Sun, Muthu Vignesh Vellayappan, Xiaoying Qi, Sharon Mui Ling Nai, Kostya S. Novoselov, David W. Rosen, Daria V. Andreeva   +12 more
wiley   +1 more source

Predictive Maintenance : Predictive Maintenance for Industry 4.0

The rise of Industry 4.0 has transformed manufacturing by using technologies like IoT, big data analytics, and machine learning, with predictive maintenance (PdM) being key to anticipating equipment failures and optimizing maintenance. This thesis presents an integrated PdM framework tailored for Industry 4.0, aiming to improve equipment reliability ...
Joseph, Jins, Kalayilparambil Radhakrishnan, Harikrishnan   +1 more
openaire   +1 more source

Digitally Printed Eco‐Friendly Electronic Devices

Advanced Functional Materials, EarlyView.
Fabrication of electronics using eco‐friendly materials through digital printing routes is a promising strategy for improving life cycle sustainability and reducing the environmental impacts of conventional manufacturing. This review highlights state‐of‐the‐art eco‐friendly materials, green ink formulations, various resource‐efficient digital printing ...
Nitheesh M. Nair, Mikel Rincón‐Iglesias, Cristian Mendes‐Felipe, Fatemeh Etehadi, Senentxu Lanceros‐Méndez, Gerardo Hernandez‐Sosa   +5 more
wiley   +1 more source

Health Maintenance in Small Industry

American Journal of Public Health and the Nations Health, 1941
openaire   +3 more sources

HMM Framework, for Industrial Maintenance Activities

, 2013
This paper uses the Hidden Markov Model to model an industrial process seen as a discrete event system. Different graphical structures based on Markov automata, called topologies, are proposed. We designed a Synthetic Hidden Markov Model based on a real industrial process. This Synthetic Model is intended to produce industrial maintenance observations (
Roblès, Bernard, Avila, Manuel, Duculty, Florent, Vrignat, Pascal, Begot, Stéphane, Kratz, Frédéric   +5 more
openaire   +2 more sources

A Linear Topology-Aware Alignment Framework for Belt Conveyor Maintenance Knowledge Graph. [PDF]

Sensors (Basel)
Li X, Wang Y, Han C, Kou Z.
europepmc   +1 more source

Architectural Tuning of Bouligand Electrospun Laminates Enables Coupled Mechanical Robustness and Electromechanical Sensing

Advanced Functional Materials, EarlyView.
Bioinspired Bouligand architectures are translated into biodegradable polymer laminates with integrated sensing, revealing how structural design governs multifunctional performance. A 20° interlayer rotation optimizes strength, flexibility, and electromechanical response, while embedded nanotube networks enable real‐time damage detection and wearable ...
Piotr K. Szewczyk, Daniel P. Ura, Michał Kopacz, Katarzyna Marszalik, Urszula Stachewicz   +4 more
wiley   +1 more source

Sensing Technologies in Industrial Defect Detection. [PDF]

Sensors (Basel)
Liu P.
europepmc   +1 more source

Thickness‐Programmable Opto‐Memristive Dynamics in 6‐In Wafer‐Scale Atomic‐Layer‐Controlled WS2 for Reservoir Computing

Advanced Functional Materials, EarlyView.
A 6‐in wafer‐scale atomic‐layer‐controlled tungsten disulfide (WS2) is achieved by combining plasma‐assisted synthesis with three‐gas reactive ion etching. Precise layer control enables tunable band‐gap evolution and pulse‐history‐dependent opto‐memristive dynamics.
Seongho Kim, Muyoung Kim, Junhyung Cho, Yeonho Choi, Gunhyoung Kim, Eunseo Go, Sooji Byun, Minchul Roh, Hyunwoo Shim, Jinhyoung Lee, Byeong‐Seon An, Ki Seok Kim, Seungwoo Song, Min Sup Choi, Taesung Kim, Taehyun Park, Hocheon Yoo, Hyeong‐U Kim   +17 more
wiley   +1 more source

Hybrid Intelligence for Fouling Prediction and Adaptive Clean-in-Place Optimization in Food Processing Heat Exchangers: A Systematic Review. [PDF]

J Food Sci
Madhu B, Reddy SSK, Sreedhar C, Sai Srinivas M, Vinayak M.   +4 more
europepmc   +1 more source