Results 211 to 220 of about 395,992 (296)
Predicting extreme defects in additive manufacturing remains a key challenge limiting its structural reliability. This study proposes a statistical framework that integrates Extreme Value Theory with advanced process indicators to explore defect–process relationships and improve the estimation of critical defect sizes. The approach provides a basis for
Muhammad Muteeb Butt +8 more
wiley +1 more source
The effects of normal fault movement on the failure mechanism of water conveyance tunnels considering multi-field interaction. [PDF]
Xinwei Z, Zhanxiang C, Weiheng L.
europepmc +1 more source
Planar Solid‐State Nanopores Toward Scalable Nanofluidic Integration Based on CMOS Technology
We present a scalable silicon‐based fabrication strategy for planar solid‐state nanopores to enable their integration with complex nanofluidic systems. Prototype devices demonstrate normal voltage‐current characteristics, good noise performance, and appreciable streaming currents. Our CMOS‐compatible fabrication process offers precise geometric control
Ngan Hoang Pham +7 more
wiley +1 more source
State estimator and convolutional neural networks-based fault localization approach for modern grids. [PDF]
Bhutto JA +7 more
europepmc +1 more source
Modern development principles of protection and diagnostics in mining facilities mains and distribution grids [PDF]
Ostapchuk, А.V. +3 more
core
This study presents an infrared monitoring approach for direct laser interference patterning (DLIP) combined with a convolutional neural network (CNN). Thermal emission data captured during structuring are used to predict surface topography parameters.
Lukas Olawsky +5 more
wiley +1 more source
Stress-mediated multi-fault rupture dynamics of the 2023 Kahramanmaraş earthquake sequence, Türkiye. [PDF]
Nalbant SS +4 more
europepmc +1 more source
The thermal diffusivity of MgO‐C refractories is highly sensitive to sample preparation and processing procedures. In this article, the effects of coking sequence, machining conditions, structural inhomogeneity, and graphite coating application on measurements using laser flash apparatus are systematically investigated.
Luyao Pan +4 more
wiley +1 more source
Machine learning based fault classification for improved induction motor performance. [PDF]
Khan ZA +5 more
europepmc +1 more source
It is shown that laser ablation pretreatment under oxygen‐free conditions enables copper–aluminium bonding at significantly lower deformation degrees and improved properties compared to mechanical brushing. Laser ablation further increases interface contact area and induces favourable residual stress states and microstructural compatibility ...
Khemais Barienti +11 more
wiley +1 more source

