Results 101 to 110 of about 5,320,548 (290)

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

Prediction of wheel profile wear and crack growth - comparisons with measurements

, 2016
A model which can predict the length of the surface crack and crack depth in rails was developed in a previous study by the authors B. Dirks, R. Enblom, A. Ekberg, M. Berg (2015) [].
Berg, Mats,, Enblom, Roger,, Dirks, Babette,   +2 more
core   +1 more source

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

Advanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi, Yoo‐Jin Jun, Heewon Choee, Kun‐Do Lee, Heesoo Kim, Yu Seok Hwang, Choong Yeon Kim, Seongok Chae, Juhyun Lee, Minkyu Je, Jae‐Woong Jeong, Hyung‐Soon Park   +11 more
wiley   +1 more source

Toward a better understanding of tool wear effect through a comparison between experiments and SPH numerical modelling of machining hard materials [PDF]

, 2009
The aim of this study is to improve the general understanding of tungsten carbide (WC–Co) tool wear under dry machining of the hard-to-cut titanium alloy Ti6Al4V. The chosen approach includes experimental and numerical tests.
Salaün, Michel, Chieragatti, Rémy, M. Salaün, GIROT, Franck, Espinosa, Christine, Girot, F., COUPARD, Dominique, Nouari, Mohammed, J. Limido, D. Coupard, R. Chieragatti, Calamaz, Madalina, F. Girot, C. Espinosa, M. Calamaz, M. Nouari, Coupard, D., Limido, Jérôme   +17 more
core   +1 more source

Milling Cutter Wear Prediction Based on Feature Extraction and LongShort-term Memory Neural Networks

Kongzhi Yu Xinxi Jishu, 2021
The wear of milling cutters during high-speed milling processes affects the quality of the work-piece, productivity and manufacturing costs. Accurate tool wear prediction can therefore optimize production decisions and avoid losses due to tool wear.
ZHOU Chengpeng, WANG Weijun, HOU Zhicheng, FENG Wei   +3 more
doaj  

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

“Smelltronics”—From Gas to Smell Sensing

Advanced Materials, EarlyView.
The emerging field of smelltronics, encompassing sensing technologies for complex volatile organic compounds, holds significant potential for extracting valuable chemical information. It facilitates the noninvasive, real‐time monitoring of humans, food, and the environment.
Takeshi Ono, Tsunaki Takahashi, Jiangyang Liu, Haruka Honda, Zeng Jing, Wataru Tanaka, Takuro Hosomi, Takeshi Yanagida   +7 more
wiley   +1 more source

Wear analysis of CVD diamond tool in micro-milling AA356 aluminum alloy

Jin'gangshi yu moliao moju gongcheng, 2021
AA356 aluminum alloy has been widely used in aerospace and other fields. However, it is faced with severe tool wear in the process of micro machining and the relevant mechanism is not clear.
ZHANG Yabo, BAI Qingshun, HE Xin, QING Lingbo, YUE Songjie, LIU Xin   +5 more
doaj  

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Tool-life and wear mechanisms of CBN tools in machining of Inconel 718 [PDF]

, 2007
The demand for increasing productivity when machining heat resistant alloys has resulted in the use of new tool materials such as cubic boron nitride (CBN) or ceramics.
DESSOLY, Michel, GUILLET, Yoann, POULACHON, Gerard, Guillet,, Yoann, COSTES, Jean-Philippe   +4 more
core   +1 more source