Results 161 to 170 of about 39,118,015 (293)

Digital Light Processing of Thermoplastic Poly(methyl methacrylate) Photoresin Combined With Solvent Vapor Smoothing

open access: yesAdvanced Engineering Materials, EarlyView.
A thermoplastic PMMA‐based photoresin enables high‐resolution DLP printing followed by solvent‐vapor smoothing. The treatment reduces staircase‐induced surface roughness from 2.33 µm to 129 nm and increases visible‐light transmittance from approximately 30% to 80%, providing a route toward transparent PMMA components for rapid prototyping and non ...
Rozhin Heydarpour   +5 more
wiley   +1 more source

The effect of digital technology on graphic design ideation output

open access: yesIDA: International Design and Art Journal
Digital technology has changed the face of design creativity. The traditional dependence on paper and pencil is gradually replaced with the digital approach, which uses digital technologies during the ideation stage.
Sylvanus Ametordzi   +1 more
doaj  

Scentronic: An artificial intelligence-assisted olfactory interface for remote odor sharing and transmission. [PDF]

open access: yesSci Adv
Yang C   +11 more
europepmc   +1 more source

Microstructural, Mechanical, and Textural Evolution of Dissimilar Combination of Laser‐Welded Maraging Steel and 4340 Steel

open access: yesAdvanced Engineering Materials, EarlyView.
The present work reports the microstructural, mechanical, and texture evolution of a dissimilar combination laser‐welded maraging steel with 4340 steel. This is important for aerospace applications. The demand for dissimilar welding is growing rapidly with the requirement of efficient and durable joints.
Bharat Behl   +3 more
wiley   +1 more source

Untitled illustration featuring a water-wheel

open access: yes, 1942
A flyer featuring an illustration of a water ...

core  

Investigation of Resonance Characteristics of More Than 10 000 Metal‐Coated Silicon MEMS Cantilevers Using Machine Learning

open access: yesAdvanced Engineering Materials, EarlyView.
More than 10 000 metal‐coated silicon MEMS cantilevers are fabricated and characterized to build a large‐scale experimental dataset spanning multiple vibrational modes. Machine learning algorithms are benchmarked to predict resonance frequency and quality factor, with ensemble based models achieving accuracy approaching experimental uncertainty.
Sina Zare Pakzad   +8 more
wiley   +1 more source

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