|
|
|
|
|
Pavlo Maruschak, Ihor Konovalenko, Yaroslav Osadtsa, Volodymyr Medvid, Oleksandr Shovkun, Denys Baran, Halyna Kozbur and Roman Mykhailyshyn
Modern neural networks have made great strides in recognising objects in images and are widely used in defect detection. However, the output of a neural network strongly depends on both the training dataset and the conditions under which the image was ac...
ver más
|
|
|
|
|
|
|
|
|
|
|
Xinbo Huang, Zhiwei Song, Chao Ji, Ye Zhang and Luya Yang
Different types of surface defects will occur during the production of strip steel. To ensure production quality, it is essential to classify these defects. Our research indicates that two main problems exist in the existing strip steel surface defect cl...
ver más
|
|
|
|
|
|
|
|
|
|
|
Shining Lyu, Youshan Gao, Aihong Wang and Yiming Hu
In this research, a multi-scale representative volume element method is introduced that combines the temperature and stress fields to analyze the force field distribution around microcracks in low-carbon steel using a combination of molecular dynamics an...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhiwu Chen, Wenjing Wang, QingE Wu, Yingbo Lu, Lintao Zhou and Hu Chen
In order to solve the problem that steel surface defects are easily covered or submerged by other objects or noise, this paper proposes an open?closed transformation algorithm which can eliminate or weaken multiple noises. In the case of a small number o...
ver más
|
|
|
|
|
|
|
|
|
|
|
Kai Yao, Qing Li, Ping Chen, Juntong Li, Penghuai Wang and Wenqi Tang
In response to the high water sorptivity of alkali-activated slag?red mud?steel slag cementitious material (AASRSS), water and aggressive ions are easily transferred to the interior of cementitious materials, which poses a significant threat to their dur...
ver más
|
|
|
|
|
|
|
|
|
|
|
Amr M. Nagy and László Czúni
Quality inspection is inevitable in the steel industry so there are already benchmark datasets for the visual inspection of steel surface defects. In our work, we show, contrary to previous recent articles, that a generic state-of-art deep neural network...
ver más
|
|
|
|
|
|
|
|
|
|
|
Olha Aleksieieva, Liliia Dereviankina, Paul Breuninger, Mustafa Bozoglu, Pavlo Tretiakov, Andrii Toporov and Sergiy Antonyuk
The cold gas-dynamic spray (CGDS) technique is utilized for repairing processes of a large number of metallic components in mechanical and process engineering, such as bridges or vehicles. Fine particles impacting on the component surface can be severely...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yulin Wang, Shan Gao, Youchun Xu and Fangyi Li
A numerical model of 84 high-strength concrete-filled square steel tubular columns (HSCFST) with local defects is developed using ABAQUS. The effects of parameters such as crack angle, crack length, impact surface and impact energy on the impact resistan...
ver más
|
|
|
|
|
|
|
|
|
|
|
Yinliang Jia, Yichen Lu, Longhui Xiong, Yuhua Zhang, Ping Wang and Huangjian Zhou
Magnetic flux leakage (MFL) detection is a common nondestructive detection method which is usually used to detect the surface defects of steel pipes and rails. To suppress the interference of lift-off on the detection signal of the defects in rail head s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhuang Li, Xincheng Tian, Xin Liu, Yan Liu and Xiaorui Shi
Aiming to address the currently low accuracy of domestic industrial defect detection, this paper proposes a Two-Stage Industrial Defect Detection Framework based on Improved-YOLOv5 and Optimized-Inception-ResnetV2, which completes positioning and classif...
ver más
|
|
|
|
|
|