Results 171 to 180 of about 635,846 (281)

A Compact Multijoint Finger Motion Sensing Module for Flexible Exoskeleton Applications

Advanced Intelligent Systems, EarlyView.
Addressing the motion estimation gap in underactuated wearable electronics, a highly integrated sensor alongside a customized readout circuit is proposed. Featuring a screen‐printed layout and optimized horseshoe geometry, this design establishes an optimal feedback mechanism for flexible hand exoskeletons while eliminating wiring clutter.
Huawei Zheng, Frédéric Lamarque, Hani Al Hajjar, Andreas Dietzel   +3 more
wiley   +1 more source

Entropy Generation of Forced Convection during Melting of Ice Slurry. [PDF]

Entropy (Basel), 2019
Niezgoda-Żelasko B.
europepmc   +1 more source

HeaTrace: A Parametric Design‐to‐Fabrication Workflow for Thermally Programmable Soft Robots

Advanced Intelligent Systems, EarlyView.
A programmable thermal actuation workflow enables soft robots to be designed and fabricated with embedded heaters that drive multiple responses. By combining performance‐driven heater design with multimaterial fabrication, the system supports thermally triggered shape change, stiffness tuning, and thermochromic visual response, as demonstrated through ...
Naresh Kumar Thanigaivel, Thileepan Stalin, Elgar Kanhere, Aby Raj Plamootil Mathai, Konstantin Sakharov, Yong Lin, Hirusha Madhuwantha Loku Hettige, Gumawang Hiramandala, Shlomo Magdassi, Pablo Valdivia Y Alvarado   +9 more
wiley   +1 more source

Physics‐Informed Machine Learning for Predicting Phases and Density of Al2O3–TiB2 Composites Synthesized via Laser Ignition From the Al–TiO2–B2O3–H3BO3 Reactive System

Advanced Intelligent Systems, EarlyView.
This interactive physics‐informed machine learning model predicts the composition and density of advanced ceramic materials produced by self‐propagating high‐temperature synthesis. The model requires user input processing parameters and demonstrates high accuracy.
Evangelos Daskalakis, Geeta Sharma, Sarathkumar Loganathan, Andrew Scott, Animesh Jha   +4 more
wiley   +1 more source

The Manifestation of the Electrochemical Potential Gradient in the Kinetic Landscapes of Interfacial Electrochemistry

Angewandte Chemie International Edition, EarlyView.
The overpotential constitutes an electrochemical potential difference at the solid–liquid interface, which can manifest itself in different ways. In general, it can not only drive the reaction along the reaction coordinate, but also modulate chemical potentials in the extended environment that shape activation barriers, without necessarily being a ...
Sebastian Z. Oener, Caroline J. Aschendorf, Jody Druce, Francisco Sarabia, Carlos Gomez Rodellar, Mathieu Lizée, Alex Ricardo Silva Olaya, Soumyadip Mondal, Raquel Anastacio Amaral, Hađer Sinanović, Beatriz Roldan Cuenya   +10 more
wiley   +1 more source

The Role of Electric Current-Associated Free Energy and Forced Convection on Grain Refinement in Pure Aluminum under Electropulsing. [PDF]

Materials (Basel), 2019
Li N, Zhang L, Zhang R, Yin P, Wu H, Song K, Xing H.   +6 more
europepmc   +1 more source

Thermophysical and Forced Convection Studies on (Alumina + Menthol)-Based Deep Eutectic Solvents for Their Use as a Heat Transfer Fluid. [PDF]

ACS Omega, 2018
Dehury P, Singh J, Banerjee T.
europepmc   +1 more source

Radiative Hybrid Nanofluid Flow Over a Porous Riga Surface: A Fuzzy–ANN Modeling Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT This study proposes a fuzzy–ANN model to investigate the nonlinear thermal transport in a tangent hyperbolic (Tanh) hybrid nanofluid flow past a porous Riga surface, considering the effects of Rosseland diffusion, chemical reactions, and internal volumetric heating.
Azad Hussain, Rabia Zetoon, Reeha Iqbal
wiley   +1 more source

Influence of Thermal Contact Resistance of Aluminum Foams in Forced Convection: Experimental Analysis. [PDF]

Materials (Basel), 2017
Guarino S, Di Ilio G, Venettacci S.
europepmc   +1 more source

Residual Strength Prediction of Chemically Reactive Two‐Phase Nanofluid Flow in a Bingham–Papanastasiou Rheological Theory Using a Morlet‐Based Wavelet Neural Network Approach

Asia-Pacific Journal of Chemical Engineering, EarlyView.
ABSTRACT The behavior of nanofluid flow involving a zero‐mass flux condition has received considerable interest because of a realistic scenario. In reality, this condition confines the optimistic accumulation or disappearance of nanoparticles past a sheet, constructing a more physically realistic demonstration through several applications, such as heat
Umair Khan, Hamza Rauf, Aurang Zaib, J. K. Madhukesh   +3 more
wiley   +1 more source