Tool wear and wear mechanism of carbide tool in cutting Al–Si alloy diecastings
Journal of Japan Institute of Light Metals, 2019 Masahiko Shioda +2 more
openaire +3 more sources
Fluorescent Polymeric Nanofibers as Ratiometric Multiplexed Skin Sensors of pH and Oxygen
Advanced Healthcare Materials, EarlyView.Fluorescent polymeric nanofibers and nanorods are produced as ratiometric sensors of two important physiological parameters: pH and oxygen. They operate by dual Forster resonance energy transfer from large number of energy donor dyes to limited number of two distinct energy acceptors, enabling simultaneous sensing of pH and oxygen.
Rémi Pelletier +2 more
wiley +1 more source
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
Advanced Healthcare Materials, EarlyView.Aerosol jet printing enables rapid, customizable fabrication of flexible, fully gold multi‐electrode arrays (MEAs) for organotypic bioelectronic interfaces. The printed MEAs exhibit stable electrochemical performance, cytocompatibility, and functionality in recording and stimulation, including integration with 3D‐printed constructs.
Ernest Cheah +7 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 RepChen M +5 more
europepmc +1 more source
Growth Hormone‐Loaded 3D Printed Silk Fibroin‐Cellulose Dressings for Ischemic Wounds
Advanced Healthcare Materials, EarlyView.3D‐printed wound dressings combining carboxymethyl cellulose, silk fibroin, and growth hormone accelerate healing in diabetic ulcers. These bioactive, customizable dressings enhance angiogenesis, cellular proliferation, and immune modulation. Proteomic analysis reveals activation of regenerative pathways and reduced fibrosis, highlighting their ...
Maria Pita‐Vilar +7 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 +3 more
europepmc +1 more source
An experimental investigation of TiCN tool life and tool wear in turning of titanium / Muhamad Anwar Salehudin [PDF]
, 2016 Muhamad Anwar Salehudin
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