Results 271 to 280 of about 5,830,632 (387)

An Advanced Tool Wear Forecasting Technique with Uncertainty Quantification Using Bayesian Inference and Support Vector Regression. [PDF]

Sensors (Basel)
Rong Z, Li Y, Wu L, Zhang C, Li J.
europepmc   +1 more source

Influence of the colour of natural diamond on tool wear in precision turning.

, 1989
Yukio MAEDA, M. Sawa, Masami MASUDA
openalex   +2 more sources

Machine‐Learning‐Aided Advanced Electrochemical Biosensors

Advanced Materials, EarlyView.
Electrochemical biosensors are highly sensitive, portable, and versatile. Advanced nanomaterials enhance their performance, while machine learning (ML) improves data analysis, minimizes interference, and optimizes sensor design. Despite progress in both fields, their combined potential in diagnostics remains underexplored.
Andrei Bocan, Roozbeh Siavash Moakhar, Carolina del Real Mata, Max Petkun, Tristan De Iure‐Grimmel, Sripadh Guptha Yedire, Hamed Shieh, Arash Khorrami Jahromi, Sahar Sadat Mahshid, Sara Mahshid   +9 more
wiley   +1 more source

In-situ tool wear condition monitoring during the end milling process based on dynamic mode and abnormal evaluation. [PDF]

Sci Rep
Chen M, Mao J, Fu Y, Liu X, Zhou Y, Sun W.   +5 more
europepmc   +1 more source

Effect of Characteristic of Matrix on Tool Wear in Cutting of Unidirectional Glass Fiber Reinforced Plastics.

, 1994
Hirotsugu INOUE, Jun Yamaguchi, Yasushi Mochida, Takeo Nishino   +3 more
openalex   +2 more sources

From Mechanoelectric Conversion to Tissue Regeneration: Translational Progress in Piezoelectric Materials

Advanced Materials, EarlyView.
This review highlights recent progress in piezoelectric materials for regenerative medicine, emphasizing their ability to convert mechanical stimuli into bioelectric signals that promote tissue repair. Key discussions cover the intrinsic piezoelectric properties of biological tissues, co‐stimulation cellular mechanisms for tissue regeneration, and ...
Xinyu Wang, Sílvio Terra Stefanello, Victor Shahin, Yun Qian   +3 more
wiley   +1 more source

Wear Mechanism of Coated Cemented Carbide Tool in Cutting of Super Heat Resisting Alloy Inconel 718.

, 1999
Katsutoshi Itakura, Motofumi Kuroda, Hidefumi Omokawa, H. Itani, Keiichi Yamamoto, Yasutsune ARIURA   +5 more
openalex   +2 more sources

Robust Full‐Surface Bonding of Substrate and Electrode for Ultra‐Flexible Sensor Integration

Advanced Materials, EarlyView.
A direct hybrid bonding method that enables both gold and parylene bonding without adhesives is developed. This technique achieves full‐surface direct bonding of electrodes and substrates in flexible electronic connections. The method offers high flexibility, stable mechanical durability, and high‐resolution interconnections, accommodating varying ...
Masahito Takakuwa, Daishi Inoue, Lulu Sun, Michitaka Yamamoto, Shinjiro Umezu, Daisuke Hashizume, Toshihiro Itoh, Kenjiro Fukuda, Takao Someya, Tomoyuki Yokota   +9 more
wiley   +1 more source

Confidence Interval Estimation for Cutting Tool Wear Prediction in Turning Using Bootstrap-Based Artificial Neural Networks. [PDF]

Sensors (Basel)
Colantonio L, Equeter L, Dehombreux P, Ducobu F.   +3 more
europepmc   +1 more source

Criterion for tool wear limitation on blanking 18-8 stainless steel strips

, 1997
F. Faura, Joaquín López, J. Sanes
openalex   +2 more sources