Results 71 to 80 of about 118,648 (215)
Experimental Study on YOLO-Based Leather Surface Defect Detection
Accurate, reliable, and fast intelligent detection of leather surface defects has become an important subject in industrial inspection, which aims at improving production efficiency and increasing automation levels.
Zhiqiang Chen +4 more
doaj +1 more source
Low‐cycle fatigue damage in Mn–Mo–Ni reactor pressure vessel steel is examined using a combined electron backscatter diffraction and positron annihilation lifetime spectroscopy approach. The study correlates texture evolution, dislocation substructure development, and vacancy‐type defect formation across uniform, necked, and fracture regions, providing
Apu Sarkar +2 more
wiley +1 more source
A Lightweight Strip Steel Surface Defect Detection Network Based on Improved YOLOv8
Strip steel surface defect detection has become a crucial step in ensuring the quality of strip steel production. To address the issues of low detection accuracy and long detection times in strip steel surface defect detection algorithms caused by ...
Yuqun Chu, Xiaoyan Yu, Xianwei Rong
doaj +1 more source
The growing demand for lightweight, nontoxic, and multifunctional gamma shielding materials has intensified efforts to find alternatives to conventional lead and aluminum‐based protectants. In this work, we develop epoxy quartz fabric composites reinforced with cobalt chloride (CoCl2) microparticles, fabricated via hand lay‐up with varying filler ...
Summan Urooge +7 more
wiley +1 more source
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 +1 more
doaj +1 more source
High‐frequency (HF) welding of steel is limited by oxide inclusions that degrade weld quality. This study demonstrates, for the first time, the integration of a nonthermal Ar/H2 dielectric barrier discharge (DBD) plasma jet into HF welding. Local plasma treatment provides effective shielding and in‐situ oxide reduction, resulting in markedly fewer and ...
Viktor Udachin +4 more
wiley +1 more source
DEW-YOLO: An Efficient Algorithm for Steel Surface Defect Detection
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
Carbon nanomaterial‐reinforced epoxy composites exhibit pronounced piezoresistive behavior, enabling intrinsic damage sensing under cyclic and fatigue loading. This review critically compares carbon nanotube and graphene systems, correlating filler content, percolation threshold, and gauge factor with sensing stability and damage evolution.
J. M. Parente +3 more
wiley +1 more source
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
Nanoindentation Criteria for Combinatorial Thin Film Libraries
Thin‐film material libraries are compositional spreads used for screening composition‐structure‐property relationships. Nanoindentation is often used to characterize mechanical behavior across these systems, however variations in methodology are widespread.
Andre Bohn, Adie Alwen, Andrea M. Hodge
wiley +1 more source

