Results 91 to 100 of about 122,426 (260)

Transfer learning-based approach using new convolutional neural network classifier for steel surface defects classification

Scientific African
Automatic surface defect detection of industrial products using visual inspection has progressively replaced manual defect detection of steel strips and become a necessary part of industrial product surface defect detection of steel strips. Various steel
Alaa Aldein M.S. Ibrahim, Jules R. Tapamo   +1 more
doaj   +1 more source

Low‐Angle Grain Boundaries and Re‐Segregation in Single‐Crystalline Ni‐Base Superalloys

Advanced Engineering Materials, EarlyView.
This work demonstrates that Re‐segregation at low‐angle grain boundaries (LAGBs) in Ni‐base superalloys is influenced by misorientation angle. Advanced microscopy and atom probe tomography reveal that higher misorientation angles increases Re‐segregation.
Alireza B. Parsa, Aparna Saksena, Alesander Kostka, Pascal Thome, Felicitas Scholz, Alexandre Mussi, Christoph Somsen, Baptiste Gault, Jan Frenzel, Gunther Eggeler   +9 more
wiley   +1 more source

Surface Defect Detection System for Mixed-Medium Flow-Casting Billets Based on an Improved YOLOv11 Model

Kongzhi Yu Xinxi Jishu
Currently, detection of surface defects on casting billets used to produce high-speed wire rods primarily relies on manual visual inspection or traditional optical sensors, which suffer from challenges such as low accuracy, poor real-time performance ...
LIU Zhang, WU Guobing
doaj  

Productivity‐Driven Optimization of Laser Powder Bed Fusion Parameters for IN718 Superalloy: Process Control, Microstructure, and Mechanical Properties

Advanced Engineering Materials, EarlyView.
This study demonstrates how optimizing laser power, scanning speed, and hatching distance in laser powder bed fusion can boost the productivity of Inconel 718 manufacturing by up to 29% while maintaining mechanical integrity. The work delivers a validated process window and cost–time analysis, offering industry‐ready guidelines for efficient additive ...
Amir Behjat, Guido Barale, John Stavridis, Ehsan Norouzi, Jin‐Yoo Suh, Dong‐Ik Kim, Luca Iuliano, Abdollah Saboori   +7 more
wiley   +1 more source

DEU-Net: A Multi-Scale Fusion Staged Network for Magnetic Tile Defect Detection

Applied Sciences
Surface defect detection is a critical task in the manufacturing industry to ensure product quality and machining efficiency. Image-based precise defect detection faces significant challenges due to defects lacking fixed shapes and the detection being ...
Yifan Huang, Zhiwen Huang, Tao Jin
doaj   +1 more source

Automatic detection of surface defects

, 2007
Validerat; 20101217 (root)
openaire   +1 more source

Pyramidal Structures on Yttria‐Stabilized Zirconia after High Temperature Exposure at 1500°C: New Features on an Old Material

Advanced Engineering Materials, EarlyView.
New features on yttria‐stabilized zirconia after exposure at 1500°C: Newly discovered pyramidal structures on an old material. After exposure at 1550°C on the cross section of YSZ new features, namely pyramidal structures are discovered. These structures grow with time, increase in numbers, appear as singularities, are often arranged in strings, and ...
Doris Sebold, Dylan Jennings, Robert Vaßen   +2 more
wiley   +1 more source

DEW-YOLO: An Efficient Algorithm for Steel Surface Defect Detection

Applied Sciences
To address the current steel surface defect detection algorithms in practical applications involving low detection accuracy, an efficient and highly accurate strip steel surface defect detection algorithm, DEW-YOLO, is proposed in this paper. Firstly, by
Junjie Li, Mingxia Chen
doaj   +1 more source

Towards Defect Phase Diagrams: From Research Data Management to Automated Workflows

Advanced Engineering Materials, EarlyView.
A research data management infrastructure is presented for the systematic integration of heterogeneous experimental and simulation data required for defect phase diagrams. The approach combines openBIS with a companion application for large‐object storage, automated metadata extraction, provenance tracking and federated data access, thereby supporting ...
Khalil Rejiba, Sang‐Hyeok Lee, Christina Gasper, Martina Freund, Sandra Korte‐Kerzel, Ulrich Kerzel   +5 more
wiley   +1 more source

Enhanced surface defect detection of cylinder liners using Swin Transformer and YOLOv8

Journal of Automation and Intelligence
The service life of internal combustion engines is significantly influenced by surface defects in cylinder liners. To address the limitations of traditional detection methods, we propose an enhanced YOLOv8 model with Swin Transformer as the backbone ...
Feng Pan, Junqiang Li, Yonggang Yan, Sihai Guan, Bharat Biswal, Yong Zhao   +5 more
doaj   +1 more source