Self-supervised pre-training of CNNs for flatness defect classification in the steelworks industry

Deep learning-based flatness prediction via multivariate industrial data for steel strip during tandem cold rolling

Q Wang, J Sun, Y Hu, W Jiang, X Zhang… - Expert Systems with …, 2024 - Elsevier
Flatness deviations in the tandem cold-rolling process of steel strips have a direct impact on
product quality and shape, leading to strip breakage, reduced working speed, and …
被引用次数：5 相关文章 所有 2 个版本

The Use of Advanced Data Analytics to Monitor Process-Induced Changes to the Microstructure and Mechanical Properties in Flat Steel Strip

F Van Den Berg, D Fintelman, H Yang, C Mocci… - … and Opportunities of …, 2021 - Springer
In the production of cars, steel is the preferred material for the body because of its high
strength, good formability and excellent recycling opportunities. In order to have a smooth …
被引用次数：1 相关文章 所有 2 个版本

The Use of Advanced Data Analytics to Monitor Process-Induced Changes to the Microstructure and Mechanical Properties in Flat Steel Strip

C Mocci, M Vannucci, V Colla - Impact and Opportunities of …, 2021 - books.google.com
In the production of cars, steel is the preferred material for the body because of its high
strength, good formability and excellent recycling opportunities. In order to have a smooth …
相关文章