Results 171 to 180 of about 93,025 (314)

Tool Wear State Identification Based on SVM Optimized by the Improved Northern Goshawk Optimization. [PDF]

Sensors (Basel), 2023
Wang J, Xiang Z, Cheng X, Zhou J, Li W.
europepmc   +1 more source

Investigation into the effect of fixturing systems on the design of condition monitoring for machining operations

, 2013
The global market competition has drawn the manufacturer’s attention on automated manufacturing processes using condition monitoring systems. These systems have been used for improving product quality, eliminating inspection, and enhancing manufacturing ...
Abbas, JK
core  

Leaf‐Inspired Eutectic Skin With Extreme Fatigue Resistance and Robust Wet Adhesion for Amphibious Epidermal Electronics

Advanced Materials, EarlyView.
Inspired by Acorus calamus leaves, a heterogeneous eutectic skin integrates an aligned fibrous network within a hydrophobic eutectogel matrix. This hierarchical architecture triggers strain‐induced crystallization to achieve exceptional mechanical toughness and durable wet adhesion.
Jiayu Hou, Jiancheng Dong, Je Hyeong Kim, Chang Zhou, Shiyin Lin, Xingyu Liu, Hao Qiu, Mengting Zheng, Yuduo Zhang, Haijun Zhu, Kangjia Geng, Yidong Peng, Haoran Liu, Yunpeng Huang, Yongsheng Luo, Steve Park, Tianxi Liu   +16 more
wiley   +1 more source

Cutting parameter-tool material interaction on PcBN tool wear behaviour in ductile iron machining. [PDF]

Sci Rep
Wang P, Li X, Jiu Y, Yin H, Zhang Y.
europepmc   +1 more source

Multivariate time series data of milling processes with varying tool wear and machine tools. [PDF]

Data Brief, 2023
Denkena B, Klemme H, Stiehl TH.
europepmc   +1 more source

TOOL WEAR MECHANISMS IN INTERMITTENT CUTTING OF METAL-MATRIX COMPOSITES

, 1994
Cutting of fibre and particle reinforced light alloys is known to cause extensive wear of cutting tool edges. With the objective to identify the mechanisms responsible for this, single edge cutting experiments on 20% alumina fibre reinforced SS 4103 and ...
JACOBSON, S,, BERGMAN, F,
core  

Weaving Intelligence: Thermally Drawn Multimaterial Fibers Toward AI‐Enabled Smart Textiles

Advanced Materials, EarlyView.
Thermally drawn multimaterial fibers are rapidly advancing as intelligent structural units for next‐generation smart textiles. Integrating multimaterial architectures with neuromorphic and spiking‐neural‐network principles enables fabrics that can sense, compute, and adapt autonomously.
Vuong Dinh Trung, Jiaxiang Yi, Hieu Nguyen‐Duc, Tien Nu Hoang Lo, Weili Zhao, Chaoqun Dong, Fabien Sorin, Baris Caglar, Lei Wei, Tung Nguyen‐Dang   +9 more
wiley   +1 more source

The Effects of Lubricooling Ecosustainable Techniques on Tool Wear in Carbon Steel Milling. [PDF]

Materials (Basel), 2023
Villarrazo N, Caneda S, Pereira O, Rodríguez A, López de Lacalle LN.   +4 more
europepmc   +1 more source

Ratiometric Mycotoxin Detection in Living Plants With Dual‐Emissive Nanosensors

Advanced Materials, EarlyView.
A minimally invasive microneedle patch integrates carbon dot‐embedded metal–organic frameworks as nanosensors to detect a key fungal toxin in living plants. The nanosensor produces a ratiometric fluorescence signal that enables early, non‐destructive diagnosis of fungal infection before visible symptoms, offering a new biomaterials‐based strategy for ...
Yuliang Li, Di Shen, Ziyang Huang, Suppanat Puangpathumanond, Calvin Thenarianto, Yue Zhao, Jolly Madathiparambil Saju, Rajani Sarojam, Dongmei Zhou, Tedrick Thomas Salim Lew   +9 more
wiley   +1 more source

CBN cutting tool's surface roughness and tool wear prediction using JOA-optimized CNN-LSTM. [PDF]

Sci Rep
Khetre S, Bongale A, Kumar S.
europepmc   +1 more source