Results 191 to 200 of about 5,830,632 (387)

Substrate Engineering for Durable Omniphobic Liquid‐Like Surfaces

Advanced Functional Materials, EarlyView.
The significant yet less investigated role of substrates in determining the liquid‐repellency and mechanical durability of liquid‐like surfaces (LLSs) is explored. Thick and crack‐free sol–gel silica intermediary layers are developed that can smoothen substrate asperity roughness even at the micron scale, enabling omniphobic polydimethylsiloxane‐based ...
Tao Wen, Isaac J. Gresham, Rafaela Aguiar, Sudip K. Lahiri, Patrick C. Lee, Chiara Neto, Kevin Golovin   +6 more
wiley   +1 more source

Tool Wear Mechanism and Grinding Performance for Different Cooling-Lubrication Modes in Grinding of Nickel-Based Superalloys. [PDF]

Materials (Basel), 2023
Liang C, Gong Y, Zhou L, Qi Y, Zhang H, Zhao J.   +5 more
europepmc   +1 more source

Discussion: “Fracture and Wear as Factors Affecting Stochastic Tool-Life Models and Machining Economics” (Rossetto, S., and Levi, R., 1977, ASME J. Eng. Ind., 99, pp. 281–286) [PDF]

, 1977
Liz Kendall
openalex   +1 more source

Transducer Materials Mediated Deep Brain Stimulation in Neurological Disorders

Advanced Functional Materials, EarlyView.
This review discusses advanced transducer materials for improving deep brain stimulation (DBS) in neurological disorders. These materials respond to light, ultrasound, or magnetic fields, enabling precise, less invasive neuromodulation. Their stimulus‐responsive properties enhance neural control and adaptive therapy, paving the way for next‐generation ...
Di Zhao, Zhengyang Cao, Guangjun Zhong, Limin Shi, Junxia Xie, Jianhua Hao   +5 more
wiley   +1 more source

A Dual-Stage Attention Model for Tool Wear Prediction in Dry Milling Operation. [PDF]

Entropy (Basel), 2022
Qin Y, Li J, Zhang C, Zhao Q, Ma X.
europepmc   +1 more source

Wear Characteristics of Cemented Carbide Tools in Turning of Pure Iron

, 1969
Kazuaki Masuda
openalex   +2 more sources

Printing Nacre‐Mimetic MXene‐Based E‐Textile Devices for Sensing and Breathing‐Pattern Recognition Using Machine Learning

Advanced Functional Materials, EarlyView.
This study presents a Ti3C2Tx MXene/WPU nacre‐mimetic nanomaterial as a printable ink for direct‐write printing onto textiles‐based sensors. The resulting wearable device demonstrates high sensitivity, biocompatibility, and mechanical strength. Furthermore, NFC‐enabled humidity sensor produces time‐series data, which informs a machine learning ...
Lulu Xu, Wenqing Chen, Qian Li, Rohit Gupta, Biswajoy Bagchi, Laurence B. Lovat, Manish K. Tiwari   +6 more
wiley   +1 more source

A novel simultaneous monitoring method for surface roughness and tool wear in milling process. [PDF]

Sci Rep
Liu R, Tian W.
europepmc   +1 more source

Enhancing Tool Wear Prediction Accuracy Using Walsh-Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection. [PDF]

Sensors (Basel), 2023
Shah M, Borade H, Sanghavi V, Purohit A, Wankhede V, Vakharia V.   +5 more
europepmc   +1 more source

ON THE GENERATING MECHANISM OF WEAR PARTICLES OF CARBIDE CUTTING TOOLS

, 1976
Kazutake UEHARA, Hideo Takeshita, Kenji NISHINA, Mitsuru Sakurai   +3 more
openalex   +2 more sources