Results 91 to 100 of about 5,074,594 (286)

In Vivo Monitoring of Thrombo‐Inflammatory Biomarkers via Molecularly Imprinted Polymer‐Integrated Hydrogel Microneedles

Advanced Materials, EarlyView.
A wearable electrochemical microneedle patch integrates Prussian Blue redox transduction with molecularly imprinted polymer recognition for reagent‐free sampling and detection of thrombo‐inflammatory biomarkers in dermal interstitial fluid. The platform tracks thrombin and inflammatory cytokines with sensitive in vitro, ex vivo, and in vivo performance,
Mahmoud Ayman Saleh, Peyman GhavamiNejad, Arash Khorrami Jahromi, Sanjana Srikant, Sripadh Guptha Yedire, Fatemeh Keyvani, Roozbeh Siavash Moakhar, Sajad Shiekh, Mackenzie Graham, Joe Quadrilatero, Mahla Poudineh, Sara Mahshid   +11 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  

Azobenzene's Cross‐Scale Optics and Photonics: Molecular Photoswitching, Mesoscopic Material Motions, and Adaptive Devices

Advanced Materials, EarlyView.
Azobenzene photoswitches translate molecular‐scale E/Z photoisomerization into macroscopic material responses and device‐level photonic functions. This Review highlights how azobenzene research has evolved from molecular photochemistry to photoalignment, mass migration, photomechanics, and heat release, ultimately enabling holography, reconfigurable ...
Heeju Son, Soyul Kwak, Heerin Noh, Minsang Kim, Doyeon Noh, Subhayan Chakraborty, Jaewon Lee, YongDeok Cho, Kyeongsoo Kim, Taewoong Eom, Moonyoung Kim, Jangwon Kim, Hoyoung Lee, Soyoung Lee, Jaehun Kim, Grace G. D. Han, Shin‐Tson Wu, Stefano Oscurato, Arri Priimagi, Marina Saphiannikova, Seungwoo Lee   +20 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

Tool Wear Prediction in Complex Machining Processes: A Hybrid Residual-Compensated Deep Learning Framework

Lubricants
Accurate tool wear prediction is essential for predictive maintenance in complex machining processes, but non-stationary sensor signals make it difficult for a single model to capture both long-term degradation trends and local transient disturbances ...
Fucong Liu, Faqiang Wen, Baokaidi Tian, Lei Yu, Tianxiang Yu, Min Li, Yixin Geng, Sai Lou   +7 more
doaj   +1 more source

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

Rational Tuning of Hygroscopic Oscillation of Stacked Nanoflake Assemblies for Continuous Ambient Energy Harvesting

Advanced Materials, EarlyView.
Stacked nanoflake assembly (SNA) membranes can oscillate autonomously, offering opportunities for soft actuation and energy harvesting. This work uncovers the physical mechanism behind the sustained oscillation of SNA membranes in gradient humidity and identifies three governing dimensionless parameters, enabling rational design for optimizing SNA ...
Zijing Zhang, Jimin Fu, Gesa Zhang, Zhihua Liang, Boxun Zhang, Haimin Yao   +5 more
wiley   +1 more source