Results 191 to 200 of about 548,608 (363)
Enhancing Tool Wear Prediction Accuracy Using Walsh-Hadamard Transform, DCGAN and Dragonfly Algorithm-Based Feature Selection. [PDF]
Sensors (Basel), 2023 Shah M +5 more
europepmc +1 more source
Effect of oxygen concentration in ZDP containing oils on surface composition and wear [PDF]
A pin-on-disk wear study was performed with the lubricants dibutyl sebacate (DBS) and mineral oil (MO) with and without 1 weight percent zinc-dialkyl-dithiophospatee (ZDP) as an additive.
Brainard, W. A., Ferrante, J.
core +1 more source
Advanced Functional Materials, EarlyView.This study demonstrates a molecular strategy to enhance the stretchability of conjugated polymers by incorporating plasticizing molecular additives (PMAs). PMAs reduce the persistence length and promote chain entanglement, enabling deformable thin films with preserved electrical performance. A systematic analysis combining rheology, neutron scattering,
Sein Chung +11 more
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
On the Flank Wear of Carbide Tool in Al-Si Cast Alloy Machining
, 1977 Shigeo ZAIMA +2 more
openalex +2 more sources
Advanced Functional Materials, EarlyView.A self‐assembled monolayer of 3‐mercaptopropyltrimethoxysilane (MPTS) molecular receptor and titanium oxide‐modified carbon cloth (MPTS/TiO2/CC) was synthesized for the specific detection of sweat L‐cysteine, which is associated with the precision neutrition, cardiovascular system and neuro system.
Xiangjie Chen +11 more
wiley +1 more source
Tool wear prediction based on XGBoost feature selection combined with PSO-BP network. [PDF]
Sci RepLin Z +6 more
europepmc +1 more source
Tool-Wear-Estimation System in Milling Using Multi-View CNN Based on Reflected Infrared Images. [PDF]
Sensors (Basel), 2023 Jang WK, Kim DW, Seo YH, Kim BH.
europepmc +1 more source