Results 191 to 200 of about 242,653 (301)

Anti‐Slip Material‐Based Strategies and Approaches

open access: yesAdvanced Materials Technologies, EarlyView.
This review highlights the principle mechanisms of slipping at the microscale, linking contact mechanics with a friction behavior model for surface interfaces. Main strategies to develop anti‐slip properties to the surfaces are discussed alongside standardized testing approaches.
Sogand Abbaspoor‐Zanjani   +3 more
wiley   +1 more source

Elastomers Combining Damping Efficiency With Rapid Recovery

open access: yesAdvanced Materials Technologies, EarlyView.
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

Rheological properties of honey

open access: yesScientia Agriculturae Bohemica, 2012
P. Trávníček, T. Vítěz, A. Přidal
openaire   +1 more source

Characterization and Design Framework for Micro‐ and Nanoscale Printed Metal Interconnects in Hybrid Electronic Systems

open access: yesAdvanced Materials Technologies, EarlyView.
This work establishes a framework for high‐resolution printed interconnects by coupling e‐jet printing control, multilayer deposition, and sintering optimization. Ink properties and printing speed influence particle stacking, while different sintering atmospheres drive distinct microstructural evolution.
Kaifan Yue   +6 more
wiley   +1 more source

Microstructural, physicochemical, thermal, and rheological properties of starches from commonly consumed yam varieties in West Africa. [PDF]

open access: yesJ Sci Food Agric
Adebola PO   +9 more
europepmc   +1 more source

Characterization of Droplet Formation in Ultrasonic Spray Coating: Influence of Ink Formulation Using Phase Doppler Anemometry and Machine Learning

open access: yesAdvanced Materials Technologies, EarlyView.
This study explores how machine learning models, trained on small experimental datasets obtained via Phase Doppler Anemometry (PDA), can accurately predict droplet size (D32) in ultrasonic spray coating (USSC). By capturing the influence of ink complexity (solvent, polymer, nanoparticles), power, and flow rate, the model enables precise droplet control
Pieter Verding   +5 more
wiley   +1 more source

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