A novel paradigm of flatness prediction and optimization for strip tandem cold rolling by cloud-edge collaboration

Author:

Zhao JianweiORCID,Li Jingdong,Yang Quan,Wang Xiaochen,Ding Xiaoxuan,Peng Gongzhuang,Shao Jian,Gu ZewenORCID

Funder

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modeling and Simulation,Ceramics and Composites

Reference34 articles.

1. Digital twin as a service (DTaaS) in industry 4.0: an architecture reference model;Aheleroff;Adv. Eng. Inf.,2021

2. Pareto multi-objective optimization of tandem cold rolling settings for reductions and inter stand tensions using NSGA-II;Babajamali;ISA Trans.,2022

3. Characterizing strip snap in cold rolling process using advanced data analytics;Chen;Procedia CIRP,2019

4. Multi-faceted modelling for strip breakage in cold rolling using machine learning;Chen;Int. J. Prod. Res.,2021

5. Research on deformation resistance of strip steel and rolling force prediction during cold rolling based on the hot rolling parameters;Cui;Ironmak. Steelmak,2022

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