Results 71 to 80 of about 265,403 (262)

2D Materials Empowered Radar Absorbing Materials: A Review

open access: yesAdvanced Electronic Materials, EarlyView.
Recent progress in 2D materials empowered radar absorbing materials (RAMs) is reviewed, highlighting four key structural design strategies that enhance electromagnetic wave absorption. Porous structures, heterogeneous interfaces, printed metamaterials, and tunable metasurfaces are compared in terms of their governing physics, fabrication complexity ...
Yujie Zhong   +4 more
wiley   +1 more source

A new drag and lift correlation for spherocylinders from fully resolved Immersed Boundary Method

open access: yesAIChE Journal, EarlyView.
Abstract Many industrial processes deal with non‐spherical particles, e.g., mineral mining and biomass conversion. It is crucial to understand the particles' hydrodynamics to control and optimize these processes. To extend the current state‐of‐the‐art from arrays of spherical particles to spherocylindrical particles, we performed extensive particle ...
A. H. Huijgen   +4 more
wiley   +1 more source

Implicit large eddy simulation of turbulent duct flows [PDF]

open access: yes, 2010
Ducts can be found in ventilation systems, cooling ducts and blade passages of turbines, centrifugal pumps and many other engineering installations.
Mylonas, Antonios Athanassios
core  

Sound‐Based Assembly of Magnetically Actuated Soft Robots Toward Enhanced Release of Extracellular Vesicles

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Magnetic soft robots offer promise in biomedicine due to their wireless actuation and rapid response, but current fabrication methods are complex and have limited cellular compatibility. A new, contactless bioassembly strategy using hydrodynamic instabilities is introduced, enabling customizable, centimeter‐scale robots.
Wei Gao   +5 more
wiley   +1 more source

Deep Learning Approaches for Classifying Crack States With Overload and Predicting Fatigue Parameters in a Titanium Alloy

open access: yesAdvanced Intelligent Systems, EarlyView.
This study proposes a deep learning approach to evaluate the fatigue crack behavior in metals under overload conditions. Using digital image correlation to capture the strain near crack tips, convolutional neural networks classify crack states as normal, overload, or recovery, and accurately predict fatigue parameters.
Seon Du Choi   +5 more
wiley   +1 more source

Large-eddy simulation of kerosene spray combustion in a model scramjet chamber

open access: yes, 2010
Large-eddy simulation (LES) of kerosene spray combustion in a model supersonic combustor with cavity flame holder is carried out. Kerosene is injected through the ceiling of the cavity.
Zhang, Man   +3 more
core   +1 more source

Towards Advanced Intelligent and Perceptive Soft Grippers

open access: yesAdvanced Intelligent Systems, EarlyView.
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim   +4 more
wiley   +1 more source

Effects of eddy viscosity on time correlations in large eddy simulation

open access: yes, 2001
Subgrid-scale (SGS) models for large eddy simulation (LES) have generally been evaluated by their ability to predict single-time statistics of turbulent flows such as kinetic energy and Reynolds stresses.
Wang LP, Rubinstein R, 何国威
core  

Large-eddy simulation of heat transfer from a single cube mounted on a very rough wall

open access: yes, 2013
The local thermal effects in the wake of a single cube, which represents a tall building in an urban area, are studied using large-eddy simulations (LES) for forced, mixed and free convection cases that are characterised by Richardson number, Ri.
Xie, Zheng-Tong   +2 more
core   +1 more source

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