Results 141 to 150 of about 25,726 (266)

Liquid Metal‐Based Stretchable Strain Sensor for Fruit Growth Monitoring

Advanced Materials Technologies, EarlyView.
Schematic overview of the fruit growth sensor development workflow, including sensor fabrication by injection molding, electromechanical and environmental characterization, mechanical stability testing, electronic readout integration, and outdoor field validation for monitoring of fruit growth under practical orchard conditions.
Asad Ullah, Lennert Purnal, Maximilian Krack, Sander Vijgen, Thijs Vandenryt, Dieter Reenaers, Ronald Thoelen, Wim Deferme   +7 more
wiley   +1 more source

Tool Wear Prediction in Machining of Aluminum Matrix Composites with the Use of Machine Learning Models. [PDF]

Materials (Basel)
Hamrol A, Tabaszewski M, Kujawińska A, Czyżycki J.   +3 more
europepmc   +1 more source

Computational wear prediction of insert conformity and material on mobile-bearing unicompartmental knee arthroplasty. [PDF]

Bone Joint Res, 2019
Koh YG, Lee JA, Lee HY, Kim HJ, Kang KT.
europepmc   +1 more source

3D Printing of Stretchable, Compressible and Conductive Porous Polyurethane for Soft Robotics

Advanced Materials Technologies, EarlyView.
A 3D‐printable porous dopamine‐polyurethane acrylate elastomer results in conductive, stretchable, and compressible structures that can be metallized in situ through catechol‐mediated silver reduction. The resulting material function as both compliant soft robot with a and strain sensors without complex assemblies, enabling fully 3D‐printed soft ...
Ouriel Bliah, Konstantin Sakharov, Pooi See Lee, Shlomo Magdassi   +3 more
wiley   +1 more source

A Contact Mechanics Model for Surface Wear Prediction of Parallel-Axis Polymer Gears. [PDF]

Polymers (Basel)
Muratović E, Pervan N, Muminović A, Delić M.   +3 more
europepmc   +1 more source

Hierarchical Multi‐Material Architectures With Gradient Design for Dynamic‐Range Flexible Tactile Sensing

Advanced Materials Technologies, EarlyView.
Hierarchical multi‐material TPMS lattices are engineered as flexible tactile sensors by combining soft and stiff elastomeric layers with a conformal conductive coating. The bilayer architecture delivers sensitivity at low pressures while maintaining a broad detectable range under large loads, enabling reliable pressure and vibration monitoring for ...
Reza Noroozi, Domenic Quiquero, Yan Yan Shery Huang, HaoTian Harvey Shi   +3 more
wiley   +1 more source

Intelligent tool wear prediction based on deep learning PSD-CVT model. [PDF]

Sci Rep
Si S, Mu D, Si Z.
europepmc   +1 more source

Shaping Carbon Nitrides for Advanced Macrostructures

Advanced Materials Technologies, EarlyView.
This review examines how carbon nitride can be shaped through a range of printing and interfacial assembly methods. By bringing together additive manufacturing and liquid–liquid structuring concepts, carbon nitride is moving beyond its traditional powder‐based photocatalyst form toward digitally designed robust macroscale architectures with high design
Simona Baluchová, Baris Kumru
wiley   +1 more source

Machine Tool Wear Prediction Technology Based on Multi-Sensor Information Fusion. [PDF]

Sensors (Basel)
Wang K, Wang A, Wu L, Xie G.
europepmc   +1 more source

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source