Results 61 to 70 of about 3,936,156 (225)

Research on Pressure Load Characteristics of 600 km/h Single Maglev Train Passing Through Tunnel

open access: yes机车电传动, 2020
In an instant, when the train enters the tunnel from the open line, the air flow space around the train suddenly becomes smaller, and the air in front of the train is compressed and the air pressure increases sharply, forming an initial compression wave,
Zhichao ZHANG   +3 more
doaj  

Large Eddy Simulation of Compressible Transitional Cascade Flows

open access: yesJournal of Fluid Science and Technology, 2007
Large-eddy simulation of compressible transitional flows in a low-pressure turbine cascade is performed by a 6th-order compact finite-difference and 10th-order filtering method.
Kazuo MATSUURA, Chisachi KATO
doaj   +1 more source

Electrochemical Behavior of Flame‐Sprayed Sc‐Doped AlCoCrFeMo High‐Entropy Alloy Coatings in 3.5% Sodium Chloride Solution

open access: yesAdvanced Engineering Materials, EarlyView.
Scandium (Sc)‐doped AlCoCrFeMo HEA coatings are fabricated via flame spraying with 0.1, 0.3, and 0.5 wt% Sc additions. Among these, the HEA‐Sc0.3 coating exhibits the highest corrosion resistance, indicated by a more positive corrosion potential and lower current density.
Pankaj Kumar   +7 more
wiley   +1 more source

Microstructure Reconstruction in Battery Electrodes Using Machine Learning Based on Low‐Voltage Focused Ion Beam–Scanning Electron Microscopy Tomography Images

open access: yesAdvanced Engineering Materials, EarlyView.
Low‐voltage FIB‐SEM tomography combined with a image preprocessing pipeline improves phase contrast and enables reliable machine‐learning segmentation of conductive networks in lithium‐ion battery electrodes. Structural descriptors are extracted from segmented images, done semimanually and automated, and compared.
Lisa Beran   +6 more
wiley   +1 more source

Investigation of Transient Flow in Branching Pipes [PDF]

open access: yesعلوم و مهندسی آبیاری, 2015
Any change in the pipe discharge, caused by valve closure or shutting off the pump, results in fluctuations in velocity and pressure of the flow; which develops transient flow in the water conveyance system.
Hamid Taebi, Manoochehr FathiMoghadam
doaj  

OntOMat: Toward Ontology‐Based Product and Process Design Engineering and Optimization Solutions Fueling Circular Value Chains

open access: yesAdvanced Engineering Materials, EarlyView.
The OntOMat ontology establishes a structured framework for polymer matrix fiber reinforced composite materials, integrating manufacturing processes, characterization methods, and multiscale design through the VDI/VDE 3682 formalized process description standard.
Nicolas Christ   +19 more
wiley   +1 more source

Analysis and Control Measures of Train Internal/External Pressure Wave Variations of Hangzhou Metro Line 19

open access: yesChengshi guidao jiaotong yanjiu
Objective The train internal/external pressure wave variations of Hangzhou Metro Line 19 Phase I project are analyzed and studied during operation at a speed of 120 km/h in the tunnel.
Chong ZHANG   +4 more
doaj   +1 more source

Adaptive Foam 3D Printing of Ultralight and Multifunctional Materials

open access: yesAdvanced Engineering Materials, EarlyView.
Adaptive foam 3D printing, enabled by expandable microspheres, imparts cellular structures to thermoplastic and thermosetting polymers, manufactured through a variety of processes including fused filament fabrication, direct ink writing, digital light processing, and inkjet printing.
Nariman Rajabifar, Amir Ameli
wiley   +1 more source

Enhancement of the Through‐Thickness Electrical Conductivity of Carbon‐Fiber‐Reinforced Plastics Using Large Graphite Particles

open access: yesAdvanced Engineering Materials, EarlyView.
To enhance through‐thickness conductivity without sacrificing impregnation, large spherical graphite particles are intentionally employed in a low‐viscosity resin. Unlike finer conductive fillers, these particles remain outside the fiber bundles and accumulate in resin‐rich interlaminar regions during molding.
Keito Hosoe   +6 more
wiley   +1 more source

A Multi‐Scale Machine Learning Framework for the Inverse Design of High Entropy Alloys

open access: yesAdvanced Engineering Materials, EarlyView.
High‐entropy alloys offer vast potential for various applications, including electrocatalysis; however, their compositional complexity challenges conventional screening. We introduce an inverse‐design framework combining two neural networks to determine optimal compositions and reconstruct nanoparticle geometry from targeted properties and conventional
Mikael Takoutsin   +14 more
wiley   +1 more source

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