Results 191 to 200 of about 571,152 (309)

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

On Tool Wear

Transactions of the Japan Society of Mechanical Engineers, 1968
openaire   +2 more sources

New‐Era Polymer Thermoelectrics: Material Innovations, Doping Frontiers, Decoupling Strategies, and Unconventional Applications

Advanced Materials, EarlyView.
The field of polymer thermoelectrics is entering a new era, featuring breakthroughs in addressing the conventional performance disparity between p‐type and n‐type polymers, pioneering doping frontiers, and sophisticated decoupling strategies. This review explores innovations in molecular design and superior stabilities, bridging the gap from ...
Suhao Wang
wiley   +1 more source

An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy. [PDF]

Sensors (Basel)
He Z, Shi T, Chen X.
europepmc   +1 more source

A Self‐Healing Magnetoelectric Sensor with Pain Sensing for Underwater Soft Electronics

Advanced Materials, EarlyView.
This study introduces a self‐healing magnetoelectric sensory system designed for amphibious soft electronics. By utilizing liquid‐metal conductors and self‐healing elastomers, the system enables autonomous recovery from mechanical damage. Its multilayered architecture features dual self‐powered proximity and tactile sensing alongside pain sensing in ...
Xuan Zhang, Jinrun Zhou, Pengyu Chen, Xuchen Wang, Eddy Yi Ler Pang, Bin Su, Yu Jun Tan   +6 more
wiley   +1 more source

Tool wear prediction based on XGBoost feature selection combined with PSO-BP network. [PDF]

Sci Rep
Lin Z, Fan Y, Tan J, Li Z, Yang P, Wang H, Duan W.   +6 more
europepmc   +1 more source

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

Deep Learning Tool Wear State Identification Method Based on Cutting Force Signal. [PDF]

Sensors (Basel)
Li S, Li M, Gao Y.
europepmc   +1 more source

Liquids as Reinforcements for Anisotropic and Tough Soft Matter Composites

Advanced Materials, EarlyView.
Liquid metal droplets are shaped and oriented within soft elastomers to create all‐soft matter composites with programmable mechanical anisotropy. These liquid inclusions act as fiber‐like reinforcements, enabling directional stiffness, enhanced toughness, and controlled crack steering under extreme deformation, offering new routes to resilient soft ...
Gwyneth M. Schloer, Ohnyoung Hur, Ravi Tutika, Aaron Haake, Eric J. Markvicka, Michael D. Bartlett   +5 more
wiley   +1 more source

A multi-feature dataset of coated end milling cutter tool wear whole life cycle. [PDF]

Sci Data
Li N, Wang X, Wang W, Xin M, Yuan D, Zhang M.   +5 more
europepmc   +1 more source