Herein, silicon‐based nanoparticle coatings on X2CrNiMo17‐12‐2 metal powder are presented. The coating process scale, process parameters, nanoparticle size (65–200 nm) as well as the coating amount are discussed regarding powder properties. The surface roughness affects the flowability, while reflectance depends on the coating material and surface ...
Arne Lüddecke+4 more
wiley +1 more source
Enhanced Fog Water Harvesting on Superhydrophobic Steel Meshes
Fog harvesting using mesh designs offers a sustainable solution to water scarcity. This study highlights key considerations for fog harvesting research and develops a methodology for a standardized protocol reflecting fog characteristics and environmental conditions.
Pegah Sartipizadeh+3 more
wiley +1 more source
Fluid mechanics of sarcomeres as porous media.
Severn J, Vacus T, Lauga E.
europepmc +1 more source
Image-Based Fractional Flow Reserve: Art and Science. Reply to Taylor et al. Single View Techniques for Modelling Coronary Pressures Losses. Comment on "Tsigkas et al. Rapid and Precise Computation of Fractional Flow Reserve from Routine Two-Dimensional Coronary Angiograms Based on Fluid Mechanics: The Pilot FFR2D Study. <i>J. Clin. Med.</i> 2024, <i>13</i>, 3831". [PDF]
Tsigkas GG+6 more
europepmc +1 more source
Computational fluid mechanics qualification calculations for the code TEACH
Marcelo Degrazia+2 more
openalex +2 more sources
This study explores the use of laser‐induced forward transfer in the picosecond regime to create in vitro biomodels. Focusing on hydrodynamics and rheology, it investigates jet dynamics through time‐resolved imaging, optimizing laser fluence, biological ink viscosity, and printing distance to precisely control the volume and location of bioink ...
Lucas Duvert+5 more
wiley +1 more source
Recent Development of Fluid Mechanics in Fluid Power Engineering
Koji Takahashi
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Viscoelastic Acoustic Response of Layered Polymer Films at Fluid-Solid Interfaces: Continuum Mechanics Approach [PDF]
Marina Voinova+3 more
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Machine Learning‐Guided Discovery of Factors Governing Deformation Twinning in Mg–Y Alloys
This study uses interpretable machine learning to identify key microstructural and processing parameters related to twinning in magnesium‐yttrium (Mg–Y) alloys. It is identified that using only grain size, grain orientation, and total applied strain, grains can be classified with 84% accuracy based on whether the grain contains a twin.
Peter Mastracco+8 more
wiley +1 more source
Molecular simulation and continuum mechanics study of simple fluids in non-isothermal planar couette flows [PDF]
Rajesh Khare, Juan Pablo, Arun Yethiraj
openalex +1 more source