Synthesis of zirconium diboride and its application in the protection of stainless steel surface in harsh environment
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Solid State Electrochemistry"
DOI: 10.1007/s10008-019-04408-0
Abstract: Surface degradation of steel is one of the key problems of steel end user because of the electrochemical reaction at the steel surface caused by atmospheric weather condition. The major problem with steel is its… read more here.
Keywords: zirconium diboride; steel surface; surface; stainless steel ... See more keywords
Adsorption of eco-friendly carthamus tinctorius on steel surface in saline solution: A combination of electrochemical and theoretical studies
Sign Up to like & getrecommendations! Published in 2020 at "Colloids and Surfaces A: Physicochemical and Engineering Aspects"
DOI: 10.1016/j.colsurfa.2020.125042
Abstract: Abstract In this study, the different parts of carthamus tinctorius plant, including petal (SPE), leaf (SLE), and shoot (SSE), have been extracted. Adsorption of the extracts on mild steel in 3.5 wt. % NaCl solution was… read more here.
Keywords: steel surface; carthamus tinctorius; solution; spectroscopy ... See more keywords
Molybdenum-mediated chemotaxis of Pseudoalteromonas lipolytica enhances biofilm-induced mineralization on low alloy steel surface
Sign Up to like & getrecommendations! Published in 2019 at "Corrosion Science"
DOI: 10.1016/j.corsci.2019.108123
Abstract: Abstract Formation of biofilm and the subsequent biomineralization on the steel surface are highly influenced by the steel surface properties. Molybdenum (Mo) is a commonly used metal in steel, which can improve its strength and… read more here.
Keywords: steel; steel surface; pseudoalteromonas lipolytica; biofilm ... See more keywords
Epoxy coating anti-corrosion properties enhancement via the steel surface treatment by nanostructured samarium oxide-poly-dopamine film.
Sign Up to like & getrecommendations! Published in 2021 at "Journal of hazardous materials"
DOI: 10.1016/j.jhazmat.2020.123722
Abstract: Nowadays, the rare earth element-based conversion coatings (REE-based CCs) are a potential eco-friendly alternative for hazardous and carcinogenic Cr-based CCs. These coatings have morphological defects that impair their performance; therefore, they need to be surface… read more here.
Keywords: steel surface; surface; spectroscopy; poly dopamine ... See more keywords
Effect of quantity of food residues on resistance to desiccation, disinfectants, and UV-C irradiation of spoilage yeasts adhered to a stainless steel surface
Sign Up to like & getrecommendations! Published in 2017 at "Lwt - Food Science and Technology"
DOI: 10.1016/j.lwt.2017.02.020
Abstract: Abstract Although Saccharomyces cerevisiae and Debaryomyces hansenii are important for food fermentation, they are considered as spoilage yeasts in various processed foods. In this study, we investigated the quantity-dependent effects of milk, egg yolk, and… read more here.
Keywords: spoilage yeasts; stainless steel; food; steel surface ... See more keywords
A deep-learning-based approach for fast and robust steel surface defects classification
Sign Up to like & getrecommendations! Published in 2019 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2019.05.005
Abstract: Abstract Automatic visual recognition of steel surface defects provides critical functionality to facilitate quality control of steel strip production. In this paper, we present a compact yet effective convolutional neural network (CNN) model, which emphasizes… read more here.
Keywords: steel; surface defects; steel surface; classification ... See more keywords
Semi-supervised defect classification of steel surface based on multi-training and generative adversarial network
Sign Up to like & getrecommendations! Published in 2019 at "Optics and Lasers in Engineering"
DOI: 10.1016/j.optlaseng.2019.06.020
Abstract: Abstract Defect inspection is very important for guaranteeing the surface quality of industrial steel products, but related methods are based primarily on supervised learning which requires ample labeled samples for training. However, there can be… read more here.
Keywords: surface; steel surface; classification; network ... See more keywords
Application insights of Schiff base metal complex/SiO2 hybrid epoxy nanocomposite for steel surface coating: Correlation the protective behavior and mechanical properties with material loading
Sign Up to like & getrecommendations! Published in 2019 at "Progress in Organic Coatings"
DOI: 10.1016/j.porgcoat.2019.105226
Abstract: Abstract Implementation of Schiff base metal complex/SiO 2 nanocomposite as a multifunctional modifier in steel epoxy coating represents a novel engineering issue for surface treatment technology. The present work investigates the application of epoxy coating… read more here.
Keywords: steel; protective behavior; surface; metal ... See more keywords
Visual inspection of steel surface defects based on domain adaptation and adaptive convolutional neural network
Sign Up to like & getrecommendations! Published in 2021 at "Mechanical Systems and Signal Processing"
DOI: 10.1016/j.ymssp.2020.107541
Abstract: Abstract Automatic inspection methods based on machine vision have been widely employed for steel surface defect detection. The central purpose of these methods is to extract features to represent different defects. However, current methods depend… read more here.
Keywords: network; steel surface; domain; convolutional neural ... See more keywords
RSTD-YOLOv7: a steel surface defect detection based on improved YOLOv7
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-04811-w
Abstract: Steel surface defect detection is one of the important applications of object detection technology in industry, which can accurately detect surface defects and improve the quality of products. To address the issues of low detection… read more here.
Keywords: detection; surface defect; defect detection; steel surface ... See more keywords
Improved faster R-CNN for steel surface defect detection in industrial quality control
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-12740-x
Abstract: Steel surface defect detection constitutes a critical inspection task in industrial production. To address challenges including missed detections and low accuracy for fine defects, this study develops an enhanced Faster R-CNN algorithm. The proposed framework… read more here.
Keywords: steel surface; surface defect; steel; defect detection ... See more keywords