Results 261 to 270 of about 732,251 (333)

Multiscale Modeling of Process‐Induced Defects in Fused Filament Fabrication‐Printed Materials

Advanced Engineering Materials, EarlyView.
This study presents a predictive multiscale modeling tool for defect analysis of fused filament fabricated‐printed materials and their performance prediction using a mechanistic data science‐based reduced‐order modeling approach. Process‐induced defects are inherent to additively manufactured parts and significantly influence the performance of printed
Satyajit Mojumder, Derick Suarez, Trevor Abbott, Wing Kam Liu   +3 more
wiley   +1 more source

Medical Image Segmentation: A Comprehensive Review of Deep Learning-Based Methods. [PDF]

Tomography
Gao Y, Jiang Y, Peng Y, Yuan F, Zhang X, Wang J.   +5 more
europepmc   +1 more source

Direct Consolidation of Copper–Graphene Composite by Rotary Swaging

Advanced Engineering Materials, EarlyView.
The applicability of the rotary swaging method for preparation of electroconductive copper–graphene composite by direct consolidation of powders is proven. The consolidated material features advantageous microstructure featuring fine grains and twins, with homogeneous distribution of graphene, primarily along the twin boundaries, which contribute to ...
Radim Kocich, Lenka Kunčická, Pavel Czernek   +2 more
wiley   +1 more source

LKDA-Net: Hierarchical transformer with large Kernel depthwise convolution attention for 3D medical image segmentation. [PDF]

PLoS One
Li M, Ma J, Zhao J.
europepmc   +1 more source

Influence of Temperature on Scratch and Wear Properties of Technical Thermoplastics: Implications for Material Selection

Advanced Engineering Materials, EarlyView.
The share of technical thermoplastics is expected to grow further in the e‐mobility segment. In this study, a detailed temperature‐based tribological characterization of technical thermoplastics is performed. The tribological properties are discussed in terms of the dynamic mechanical properties of polymers at different ambient temperatures. A proof of
Harsha Raghuram, Thomas Koch, Vasiliki-Maria Archodoulaki   +2 more
wiley   +1 more source

CAGs-Net: A Novel Adjacent-Context Network With Channel Attention Gate for 3D Brain Tumor Image Segmentation. [PDF]

Int J Biomed Imaging
Ye Q, Shi Y, Guo S.
europepmc   +1 more source

X‐Ray Computed Tomography Quantifies Primary Phases and Reveals Crack Morphology in High‐Cycle Fatigue of Aluminum Alloy EN AW‐2618A

Advanced Engineering Materials, EarlyView.
Primary phases and a fatigue crack are studied in a forged blank of an aluminum alloy using synchrotron and laboratory X‐ray computed tomography. To image the crack, the fatigue test is interrupted, and a static tensile load is applied to open the crack.
Jakob Schröder, Ying Han, Tobias Fritsch, Bardia Hejazi, Alexander Ulbricht, Birgit Skrotzki, Giovanni Bruno   +6 more
wiley   +1 more source

Multi-perspective dynamic consistency learning for semi-supervised medical image segmentation. [PDF]

Sci Rep
Zhu Y, Wang X, Liu T, Fu Y.
europepmc   +1 more source

Fabrication of a Stable, Low‐Cost, Patient‐Specific, Brain Phantom with Ventricles for Ultrasound Imaging

Advanced Engineering Materials, EarlyView.
Patient‐specific brain phantoms can replace animal trials, aid presurgical training, and enable in silico disease research on cerebrospinal fluid and ventricles. This study presents a method to create ventricular brain phantoms from three‐dimensional magnetic resonance images brain scans, resulting in durable, tunable, reproducible models that mimic ...
Kajal Chandraprakash Jain, Ana Belen Amado Rey, Ana Carolina Gonçalves Seabra, Thomas Stieglitz   +3 more
wiley   +1 more source