Results 121 to 130 of about 1,838,834 (287)

Model validation and uncertainty analysis in the wear prediction of a wet clutch

, 2016
An uncertainty quantification analysis is performed to further investigate the nature of the “two-stage” wear process of the paper-based friction lining in a wet clutch.
Khonsari, M. M., Lingesten, N., McCarthy, D. M.C., Marklund, P., Lingesten, Niklas,, Lundin, Joakim,, Li, M.,, Lundin, J., Khonsari, M.M,, McCarthy, D.M.C.,, Marklund, Pär,, Li, M.   +11 more
core   +1 more source

Autonomous Folding of Soft Matter From Living Polymers

Advanced Materials, EarlyView.
Origami structures are endowed with “living” polymer creases that grow, remodel, and stiffen in response to nutrient solutions. This post‐fabrication growth enables autonomous folding, iterative regrowth, and mechanical tuning involving origami assemblies, such as cranes, Miura‐ori tessellations, rigid and non‐rigid square‐twist patterns, establishing ...
Jiahe Huang, Tuo Zhao, Shixi Zang, Deep Malu, Huajian Ji, Glaucio H. Paulino, Yuhang Hu   +6 more
wiley   +1 more source

Wear Prediction Algorithm for Feedback Ball Head of Servo Valve

Lubricants
Wear of the feedback ball head–ball seat interface changes the contact state and reduces the feedback force in electro-hydraulic servo valves, resulting in output nonlinearity and performance degradation. Existing wear models usually assume fixed surface
Xiaonan Pan, Jianrui Zhang, Jian Kang
doaj   +1 more source

Hardness Assessment Considering Nitrided Layers Based on Tempering Tests for Numerical Wear Prediction for Forging Processes. [PDF]

Materials (Basel), 2022
Behrens BA, Brunotte K, Wester H, Lorenz U, Müller F.   +4 more
europepmc   +1 more source

From Fiber Bundles to Architected Membranes: Triply Periodic Minimal Surface Architectures for Biohybrid Artificial Lungs

Advanced Materials, EarlyView.
Additively manufactured triply periodic minimal surface (TPMS) membranes offer an architecture‐driven alternative to hollow fiber bundles in artificial lungs. Multiphysics simulations and endothelialized prototypes show that the 3D‐printable membrane architecture improves gas exchange, blood flow distribution, and hemocompatibility, enabling ...
Michael Pflaum, Kai P. Barbian, Florian Neuhaus, Gerrit Sitarz, Carolin Nölke, Sebastian V. Jansen, John Linkhorst, Lukas T. Hirschwald, Sebastian Brosch, Christian Certa, Ulrich Steinseifer, Matthias Wessling, Jutta Arens, Arjang Ruhparwar, Bettina Wiegmann   +14 more
wiley   +1 more source

A Novel Machine Learning-Based Methodology for Tool Wear Prediction Using Acoustic Emission Signals. [PDF]

Sensors (Basel), 2021
Ferrando Chacón JL, Fernández de Barrena T, García A, Sáez de Buruaga M, Badiola X, Vicente J.   +5 more
europepmc   +1 more source

Soft Skins With Reversible Thickness Morphing: Materials, Mechanisms, and Applications

Advanced Materials, EarlyView.
Evolution of electronic skin (e‐skin) technologies toward adaptive, multifunctional soft skins. Phase I highlights early rigid and discrete sensory interfaces. Phase II shows the transition toward flexible, stretchable, and large‐area e‐skin. Phase III captures the emergence of computational e‐skin.
Oliver Ozioko, Chiamaka Akah, Ravinder Dahiya   +2 more
wiley   +1 more source

Data‐Driven Materials Science for Energy‐Sustainable Applications

Advanced Materials, EarlyView.
Data‐driven approaches powered by artificial intelligence are transforming materials discovery for energy sustainability. This review examines how auto‐generated high‐quality materials databases and domain‐specific language models accelerate research in photovoltaics, thermoelectrics, batteries and magnetic materials. Applications involve extraction of
Jacqueline M. Cole
wiley   +1 more source

Sustainable and Multifunctional Natural Macromolecular Polymers for Aqueous Zn Metal Batteries

Advanced Materials, EarlyView.
We comprehensively review the structure‐function relationships and regulatory mechanism of natural macromolecular polymers in stabilizing zinc anodes at the microscopic and mesoscopic scales. The interactions among polymer structures, optimization strategies, and regulatory mechanisms are discussed systematically summarizing recent related research ...
Yunuo Shi, Bo Jiang, Jingcheng Zhang, Xiaodong Shao, Peixun Xiong, Lutong Shan, Shengyang Huang, Mengfang Liang, Mengyao Chang, Fangyan Liu, Wenwu Li, Baoyu Xia, Wei Ji, Ho Seok Park   +13 more
wiley   +1 more source

Noise‐Tunable Memristor Enabling Programmable Probabilistic Neurons for Frequency‐Selective Time‐Series Signal Encoding

Advanced Materials, EarlyView.
Memristors offer tunable resistance and intrinsic instability, making them promising tunable noise sources. We propose a spiking‐rate‐programmable probabilistic neuron using a Ru/TaOx/Pt memristor, where resistance‐dependent noise enables frequency‐selective encoding.
Do Hoon Kim, Seoeun Jang, Hakseung Rhee, Min Gu Lee, Daehee Kim, Taewook Go, Woon Hyung Cheong, Hanchan Song, Kyung Min Kim   +8 more
wiley   +1 more source