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Control of the surface texture of steel strip during the galvanizing and temper rolling processes is essential to satisfy customer requirements and is conventionally measured post-production using a stylus. In-production laser reflection…

Machine Learning · Computer Science 2023-01-23 Alexander J. M. Milne , Xianghua Xie

Control of surface texture in strip steel is essential to meet customer requirements during galvanizing and temper rolling processes. Traditional methods rely on post-production stylus measurements, while on-line techniques offer…

Machine Learning · Computer Science 2023-10-03 Alex Milne , Xianghua Xie

Thermal management is vital for the efficient and safe operation of alkaline electrolysis systems. Traditional alkaline electrolysis systems use simple proportional-integral-differentiation (PID) controllers to maintain the stack…

Systems and Control · Electrical Eng. & Systems 2022-03-01 Ruomei Qi , Jiarong Li , Jin Lin , Yonghua Song , Jiepeng Wang , Qiangqiang Cui , Yiwei Qiu , Ming Tang , Jian Wang

Selective laser melting is a promising additive manufacturing technology enabling the fabrication of highly customizable products. A major challenge in selective laser melting is ensuring the quality of produced parts, which is influenced…

Systems and Control · Electrical Eng. & Systems 2022-04-11 Riccardo Zuliani , Efe C. Balta , Alisa Rupenyan , John Lygeros

Steel production scheduling is typically accomplished by human expert planners. Hence, instead of fully automated scheduling systems steel manufacturers prefer auxiliary recommendation algorithms. Through the suggestion of suitable orders,…

Artificial Intelligence · Computer Science 2024-09-04 Daniel Christopher Merten , Marc-Thorsten Hütt , Yilmaz Uygun

Predictive modelling represents an emerging field that combines existing and novel methodologies aimed to rapidly understand physical mechanisms and concurrently develop new materials, processes and structures. In the current study,…

The aim of this work is the development of scientifically based ways of influencing the process of nucleation of crystallization centres to control the cast structure and the properties of blanks at the casting stage. The possibility of…

Automatic defect recognition is one of the research hotspots in steel production, but most of the current methods mainly extract features manually and use machine learning classifiers to recognize defects, which cannot tackle the situation,…

Computer Vision and Pattern Recognition · Computer Science 2019-09-18 Jingwen Fu , Xiaoyan Zhu , Yingbin Li

In industrial settings, surface defects on steel can significantly compromise its service life and elevate potential safety risks. Traditional defect detection methods predominantly rely on manual inspection, which suffers from low…

Machine Learning · Computer Science 2025-04-25 Cheng Shen , Yuewei Liu

Materials with higher operating temperatures than today's state of the art can improve system performance in several applications and enable new technologies. Under most scenarios, a protective oxide scale with high melting temperatures and…

Materials Science · Physics 2020-07-27 Zachary D. McClure , Alejandro H. Strachan

Shaping thermoplastic sheets into three-dimensional products is challenging since overheating results in failed manufactured parts and wasted material. To this end, we propose an indirect data-driven predictive control approach using Model…

Systems and Control · Electrical Eng. & Systems 2024-07-25 Hadi Hosseinionari , Mohammad Bajelani , Klaske van Heusden , Abbas S. Milani , Rudolf Seethaler

Cutting mechanics in soft solids have been a subject of study for several decades, an interest fuelled by the multitude of its applications, including material testing, manufacturing, and biomedical technology. Wire cutting is the simplest…

Soft Condensed Matter · Physics 2023-10-31 Bharath Antarvedi Goda , David Labonte , Mattia Bacca

Currently, the rapidly developing powerful spinning processes of metals are widely used in many industrial sectors including those requiring high precision processing of metal materials, and the types and production of spun part are…

Materials Science · Physics 2020-12-03 Un Chol Ri , Kwang Myong Kye , Myong Chol Pak

High speed machining has been improved thanks to considerable advancement on the tools (optimum geometry, harder materials), on machined materials (increased workability and machining capacity for harder workpieces) and finally on the…

Classical Physics · Physics 2009-09-29 Olivier Cahuc , Alain Gérard

Continuous casting is a widely adopted process in the steel industry, where maintaining high steel quality is paramount. Efficient prediction of grade intermixing during ladle changeover operations is critical for maintaining steel quality…

Detecting faults in steel plates is crucial for ensuring the safety and reliability of the structures and industrial equipment. Early detection of faults can prevent further damage and costly repairs. This chapter aims at diagnosing and…

Neural and Evolutionary Computing · Computer Science 2024-05-02 Salar Farahmand-Tabar , Tarik A. Rashid

The lifetime of moving metallic components is often limited by accelerated oxidation. Yet, the mechanisms and pathways for oxidation during tribological loading are not well understood. Using copper as a model system, tribologically-induced…

Dicing soft solids with a sharp knife is quicker and smoother if the blade is sliding rapidly parallel to its edge in addition to the normal squeezing motion. We explain this common observation with a consistent theory suited for soft gels…

Soft Condensed Matter · Physics 2020-07-22 Serge Mora , Yves Pomeau

The indirect prediction of shrinkage induced solidification defects is considered in this study. The previously suggested criterion function methods, in particular the Pellini and Niyama criteria are analyzed in details, and their…

Materials Science · Physics 2010-05-18 Ruhollah Tavakoli

Hot-rolling is a metal forming process that produces a workpiece with a desired target cross-section from an input workpiece through a sequence of plastic deformations; each deformation is generated by a stand composed of opposing rolls…

Computational Engineering, Finance, and Science · Computer Science 2020-07-30 R. Omar Chavez-Garcia , Emian Furger , Samuele Kronauer , Christian Brianza , Marco Scarfò , Luca Diviani , Alessandro Giusti
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