Results 191 to 200 of about 455,434 (311)
Hydrogel‐Based 3D‐Printable Stretchable Pressure Sensor
We present a carbon‐black‐functionalized double‐network granular hydrogel (DNGH) pressure sensor capable of detecting pressures from 200 Pa, equivalent to a light finger touch, up to 500 kPa. The sensor exhibits signal drifts below 3.5% after 800 cycles and response times around 80 ms. Leveraging this broad sensing range, we 3D print this material into
Tianyu Yuan +4 more
wiley +1 more source
This critical review presents a comprehensive roadmap for the precision 3D printing of cellulose. Quantitative correlations link ink formulation and rheological properties to print fidelity and final material performance. This framework guides the development of advanced functional materials, from biomedical scaffolds to electromagnetic shielding ...
Majed Amini +3 more
wiley +1 more source
This review outlines how understanding bone's biology, hierarchical architecture, and mechanical anisotropy informs the design of lattice structures that replicate bone morphology and mechanical behavior. Additive manufacturing enables the fabrication of orthopedic implants that incorporate such structures using a range of engineering materials ...
Stylianos Kechagias +4 more
wiley +1 more source
Elastomers Combining Damping Efficiency With Rapid Recovery
Double network granular elastomers (DNGEs) combine high energy dissipation under both cyclic loading and high impact with rapid shape recovery. 3D printing enables the production of complex, customizable structures with tailored performance. Recyclable DNGEs retain their properties over multiple recycling cycles.
Eva Baur, Alain Molleyres, Esther Amstad
wiley +1 more source
Waterborne polyurethane/graphene formulations are developed as piezoresistive coatings on glass fabric to enable flexible strain sensing. The graphene‐enabled conductive network provides a stable electromechanical response under cyclic compression. The coating demonstrates reliable pressure‐dependent resistance changes, highlighting its potential for ...
Vishnu Vijayan Pillai +8 more
wiley +1 more source
Applying machine learning models to predict and identify factors affecting academic performance of paramedical students: a cross-sectional study. [PDF]
Zarei O +6 more
europepmc +1 more source
Advances in Solid‐Phase Processing Techniques: Innovations, Applications, and Future Perspectives
Based on practical manufacturing challenges, this review examines advanced solid‐phase processing techniques that overcome the inherent limitations of conventional melting‐based and traditional solid‐phase manufacturing, enabling the production of higher‐performance components at reduced cost through process innovation and improved supply‐chain ...
Tianhao Wang
wiley +1 more source

