Big Data Handling in Process Surveillance and Quality Control of Secondary Metallurgical Processes-Reference-Cited by-同舟云学术

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Big Data Handling in Process Surveillance and Quality Control of Secondary Metallurgical Processes

Published:2022-05-29 Issue:12 Volume:93 Page:2200060
ISSN:1611-3683
Container-title:steel research international
language:en
Short-container-title:steel research int.

Author:

Gruber Christine¹^ORCID,Bückner Birgit¹,Schatzl Magdalena¹,Thumfart Maria¹,Eßbichl Ramona²,Rössler Roman²

Affiliation:

1. K1-MET GmbH Stahlstr. 14 4020 Linz Austria

2. voestalpine Stahl GmbH Linz voestalpine-Straße 1 4020 Linz Austria

Funder

Horizon 2020 Framework Programme

Publisher

Wiley

Subject

Materials Chemistry,Metals and Alloys,Physical and Theoretical Chemistry,Condensed Matter Physics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/srin.202200060

Reference30 articles.

1. Mixing behavior in the RH degasser with bottom gas injection

2. Steel Alloy Homogenization During Rheinsahl–Heraeus Vacuum Treatment: Conventional Computational Fluid Dynamics, Recurrence Computational Fluid Dynamics, and Plant Observations

3. Environment 4.0: How digitalization and machine learning can improve the environmental footprint of the steel production processes

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Camera- and Sensor Data-Based Process Observation in Liquid Steel Production;Lecture Notes in Networks and Systems;2024

2. Research on Optimization Method of Enterprise Financial and Accounting Information Quality Based on Big Data Analysis;Learning and Analytics in Intelligent Systems;2024

3. State of the art in applications of machine learning in steelmaking process modeling;International Journal of Minerals, Metallurgy and Materials;2023-11

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