An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy. [PDF]
He Z, Shi T, Chen X.
europepmc +1 more source
The impact of tool wear on the functionality of replicated polymer surface with micro structures
Dongya Li +4 more
openalex +1 more source
Inspired by the skin‐toughening mechanism of marine sponges, an ion‐orchestrated structural engineering strategy is proposed to regulate the surface microstructure of hydrogel coatings, enabling the in situ formation of a robust armor layer that enhances mechanical integrity and provides multifunctional protection by suppressing fouling attachment and ...
Wenshuai Yang +11 more
wiley +1 more source
Tool wear prediction based on XGBoost feature selection combined with PSO-BP network. [PDF]
Lin Z +6 more
europepmc +1 more source
Material Defects in Friction Stir Welding through Thermo-Mechanical Simulation: Dissimilar Materials with Tool Wear Consideration. [PDF]
Das D, Bag S, Pal S, Sharma A.
europepmc +1 more source
Identification of tool wear using acoustic emission signal and machine learning methods
P. Twardowski +3 more
semanticscholar +1 more source
Broadband, Flexible, Skin‐Compatible Carbon Dots/Graphene Photodetectors for Wearable Applications
Broadband, flexible photodetectors integrating nitrogen‐rich carbon dots with single‐layer graphene on plastic substrates are demonstrated. A biocompatible chitosan–glycerol electrolyte enables efficient low‐voltage gating and on‐skin operation. The devices exhibit ultraviolet‐to‐near‐infrared response, mechanical robustness under bending, and verified
Nouha Loudhaief +20 more
wiley +1 more source
Deep Learning Tool Wear State Identification Method Based on Cutting Force Signal. [PDF]
Li S, Li M, Gao Y.
europepmc +1 more source
Tool-Wear-Estimation System in Milling Using Multi-View CNN Based on Reflected Infrared Images. [PDF]
Jang WK, Kim DW, Seo YH, Kim BH.
europepmc +1 more source

