Microscale 3D‐Printed Digital Strain Switches for Embedded Mechanical Computation
Microscale 3D‐printed strain switches on flexible films convert deformation into native digital signals at geometry defined thresholds. A closed form model predicts switching from 3000 to 15 000 microstrain and is validated across 110 devices. Reliable ohmic closure and strain activated AND, OR, and XOR logic point toward low‐power mechanical ...
Regan Kubicek +3 more
wiley +1 more source
Comparative Study on Thermal Behaviour, Tool Wear and Surface Roughness in Milling EN8 Steel for Sustainable Machining. [PDF]
Mohanavelu T +5 more
europepmc +1 more source
Multivariate time series data of milling processes with varying tool wear and machine tools. [PDF]
Denkena B, Klemme H, Stiehl TH.
europepmc +1 more source
Nano‐TiO2 and carboxylated cellulose nanofibers jointly regulate hydration‐product distribution in cementitious composites. Improved microstructural continuity and refined pore structure accompany enhanced strength and surface stability without a substantial increase in overall hydration.
Kailun Chen +8 more
wiley +1 more source
Evaluation of Tool Wear Characteristics and Machining Performance During Longitudinal-Torsional Ultrasonic Vibration Drilling of Al/Ti Stacks. [PDF]
Zhu Z, Geng S, Zhu W, Ouyang G, Huang Y.
europepmc +1 more source
The Effects of Lubricooling Ecosustainable Techniques on Tool Wear in Carbon Steel Milling. [PDF]
Villarrazo N +4 more
europepmc +1 more source
Low‐Outgassing Liquid Metal–Silicone Composites for Multifunctional Space Applications
Integrating liquid metal microdroplets into a space‐grade silicone creates a multifunctional composite while preserving its inherent flexibility and low‐outgassing behavior. The composite has 11×$\times$ higher thermal conductivity while remaining thermally stable and maintaining a total mass loss of ≤$\le$ 1% under thermal vacuum testing.
Spencer Pak +5 more
wiley +1 more source
CBN cutting tool's surface roughness and tool wear prediction using JOA-optimized CNN-LSTM. [PDF]
Khetre S, Bongale A, Kumar S.
europepmc +1 more source
Tool Wear Condition Monitoring Method Based on Deep Learning with Force Signals. [PDF]
Zhang Y, Qi X, Wang T, He Y.
europepmc +1 more source
Electrochemistry‐Enabled Optical and Plasmonic Programmable Metasurfaces
Electrochemistry is emerging as a promising approach for engineering optical and plasmonic metasurfaces, from the fabrication of nanoscale structures to their dynamic control. This Perspective reviews electrochemical strategies for creating and tuning metasurfaces, examines current challenges and opportunities, and discusses how integration with ...
Charlène Brissaud, Leonardo Scarabelli
wiley +1 more source

