Data-based flatness prediction and optimization in tandem cold rolling

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Cite
Sun, Jie, et al. “Data-Based Flatness Prediction and Optimization in Tandem Cold Rolling”. Journal of Iron and Steel Research International, vol. 28, no. 5, 2020, pp. 563-7, https://doi.org/10.1007/s42243-020-00505-x.
Sun, J., Shan, P.- fei, Wei, Z., Hu, Y.- hui, Wang, Q.- long, Peng, W., & Zhang, D.- hua. (2020). Data-based flatness prediction and optimization in tandem cold rolling. Journal of Iron and Steel Research International, 28(5), 563-573. https://doi.org/10.1007/s42243-020-00505-x
Sun, Jie, Peng-fei Shan, Zhen Wei, Yao-hui Hu, Qing-long Wang, Wen Peng, and Dian-hua Zhang. “Data-Based Flatness Prediction and Optimization in Tandem Cold Rolling”. Journal of Iron and Steel Research International 28, no. 5 (2020): 563-73. https://doi.org/10.1007/s42243-020-00505-x.
Sun J, Shan P fei, Wei Z, Hu Y hui, Wang Q long, Peng W, et al. Data-based flatness prediction and optimization in tandem cold rolling. Journal of Iron and Steel Research International. 2020;28(5):563-7.
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Technology
Electrical engineering
Electronics
Nuclear engineering
Materials of engineering and construction
Mechanics of materials
Technology
Mining engineering
Metallurgy
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  • Technology: Mining engineering. Metallurgy
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
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Refrences Analysis
Category Category Repetition
Technology: Mining engineering. Metallurgy8
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials6
Technology: Mechanical engineering and machinery5
Science: Mathematics: Instruments and machines: Electronic computers. Computer science5
Technology: Engineering (General). Civil engineering (General)4
Technology: Chemical technology: Chemical engineering4
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics4
Science: Chemistry3
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks3
Science: Mathematics: Instruments and machines2
Technology: Chemical technology: Food processing and manufacture2
Technology: Home economics: Nutrition. Foods and food supply2
Agriculture2
Agriculture: Agriculture (General)2
Science: Geology2
Science: Physics1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science: Computer software1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics: Computer engineering. Computer hardware1
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Science: Mathematics1
Geography. Anthropology. Recreation: Environmental sciences1
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The category Technology: Mining engineering. Metallurgy 8 is the most frequently represented among the references in this article. It primarily includes studies from Journal of Iron and Steel Research International The chart below illustrates the number of referenced publications per year.
Refrences used by this article by year
Citations
Title Journal Journal Categories Citations Publication Date
Deep learning-based flatness prediction via multivariate industrial data for steel strip during tandem cold rolling Expert Systems with Applications
  • Science: Mathematics: Instruments and machines: Electronic computers. Computer science
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks
  • Technology: Manufactures: Production management. Operations management
  • Technology: Mechanical engineering and machinery
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics
  • Technology: Engineering (General). Civil engineering (General)
 3 2024
Predicting Hot-rolled Strip Crown Using a Hybrid Machine Learning Model ISIJ International
  • Science: Physics
  • Science: Chemistry
  • Technology: Engineering (General). Civil engineering (General)
  • Technology: Mining engineering. Metallurgy
  • Technology: Mining engineering. Metallurgy
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
 2024
Study on Error Compensation Method of Online Roll Profile Measurement

 steel research international
  • Technology: Mining engineering. Metallurgy
  • Technology: Mining engineering. Metallurgy
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
 1 2023
Industrial IoT–enabled real-time prediction of strip cross-section shape for hot-rolling steel The International Journal of Advanced Manufacturing Technology
  • Technology: Mechanical engineering and machinery
  • Technology: Manufactures
  • Technology: Technology (General): Industrial engineering. Management engineering
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Deformation resistance prediction of tandem cold rolling based on grey wolf optimization and support vector regression Journal of Iron and Steel Research International
  • Technology: Mining engineering. Metallurgy
  • Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials
 4 2023
Citations Analysis
Category Category Repetition
Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials12
Technology: Engineering (General). Civil engineering (General)9
Technology: Mining engineering. Metallurgy9
Technology: Technology (General): Industrial engineering. Management engineering7
Technology: Manufactures6
Science: Chemistry5
Technology: Mechanical engineering and machinery4
Science: Physics3
Technology: Chemical technology3
Science: Biology (General)2
Science: Chemistry: General. Including alchemy2
Technology: Technology (General): Industrial engineering. Management engineering: Information technology1
Science: Mathematics: Instruments and machines: Electronic computers. Computer science1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electric apparatus and materials. Electric circuits. Electric networks1
Technology: Manufactures: Production management. Operations management1
Technology: Electrical engineering. Electronics. Nuclear engineering: Electronics1
The category Technology: Electrical engineering. Electronics. Nuclear engineering: Materials of engineering and construction. Mechanics of materials 12 is the most commonly referenced area in studies that cite this article. The first research to cite this article was titled Modeling and validation of bending force for 6-high tandem cold rolling mill based on machine learning models and was published in 2022. The most recent citation comes from a 2024 study titled Predicting Hot-rolled Strip Crown Using a Hybrid Machine Learning Model. This article reached its peak citation in 2023, with 13 citations. It has been cited in 11 different journals, 27% of which are open access. Among related journals, the Journal of Iron and Steel Research International cited this research the most, with 4 citations. The chart below illustrates the annual citation trends for this article.
Citations used this article by year