Cargando…
Flatness Prediction of Cold Rolled Strip Based on Deep Neural Network with Improved Activation Function
With the improvement of industrial requirements for the quality of cold rolled strips, flatness has become one of the most important indicators for measuring the quality of cold rolled strips. In this paper, the strip production data of a 1250 mm tandem cold mill in a steel plant is modeled by an im...
Autores principales: | Liu, Jingyi, Song, Shuni, Wang, Jiayi, Balaiti, Maimutimin, Song, Nina, Li, Sen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780483/ https://www.ncbi.nlm.nih.gov/pubmed/35062616 http://dx.doi.org/10.3390/s22020656 |
Ejemplares similares
-
Predicting Mechanical Properties of Cold-Rolled Steel Strips Using Micro-Magnetic NDT Technologies
por: Sheng, Hongwei, et al.
Publicado: (2022) -
Analysis of the Reasons for the Tearing of Strips of High-Strength Electrical Steels in Tandem Cold Rolling
por: Petryshynets, Ivan, et al.
Publicado: (2021) -
Cold-Rolled Strip Steel Stress Detection Technology Based on a Magnetoresistance Sensor and the Magnetoelastic Effect
por: Guan, Ben, et al.
Publicado: (2018) -
The Research of the Rolling Speed Influence on the Mechanism of Strip Breaks in the Steel Rolling Process
por: Rusnák, Ján, et al.
Publicado: (2020) -
Effect of Cold Rolling Process on Microstructure, Texture and Properties of Strip Cast Fe-2.6%Si Steel
por: Xu, Yunbo, et al.
Publicado: (2018)