High Quality Steel Casting by Using Advanced Mathematical Methods

Abstract

The main concept of this paper is to utilize advanced numerical modelling techniques with self-regulation algorithm in order to reach optimal casting conditions for real-time casting control. Fully 3-D macro-solidification model for the continuous casting (CC) process and an original fuzzy logic regulator are combined. The fuzzy logic (FL) regulator reacts on signals from two data inputs, the temperature field and the historical steel quality database. FL adjust the cooling intensity as a function of casting speed and pouring temperature. This approach was originally designed for the special high-quality high-additive steel grades such as higher strength grades, steel for acidic environments, steel for the offshore technology and so forth. However, mentioned approach can be also used for any arbitrary low-carbon steel grades. The usability and results of this approach are demonstrated for steel grade S355, were the real historical data from quality database contains approximately 2000 heats. The presented original solution together with the large steel quality databases can be used as an independent CC prediction control system.

Refining and Casting of Steel

“…Three papers are based on the studies, regarding the processes taking place in the mold from the viewpoint of heat transfer and multiphase flow influenced by deep submerged entry nozzle (SEN) immersion [9], nozzle clogging [10], and mold flux interaction with steel [11]. Finally, the authors contributed to this Special Issue by also focusing their attention on the complex phenomenon connected to steel cooling, its solidification and quality [12][13][14][15]. All published contributions and their briefly commented upon abstracts are organized based on the technological flow valid for modern steel production in the next subchapters.…”

“…The main concept of Mauder's et al work [12] is to utilize advanced numerical modelling techniques with a self-regulation algorithm in order to reach optimal casting conditions for real-time casting control. A fully 3-D macro-solidification model for the continuous casting (CC) process and an original fuzzy logic regulator are combined.…”

“…The usability and results of this approach are demonstrated for steel grade S355, were the real historical data from the quality database contains approximately 2000 heats. The presented original solution, together with the large steel quality databases, can be used as an independent CC prediction control system [12].…”

Heat treatment of thin sheets, research methodology to design a cooling system

“…Design process of cooling section for sheets cooling is quite complicated due to requirement of high cooling intensity and perfect cooling homogeneity. Very intensive inhomogeneous cooling can lead to plate deformation during product making process [1][2][3][4].…”

Acquiring High-Quality Oil Casing Steel 26CrMoVTiB under Optimal Continuous Casting Process Conditions

“…In this sense, seeking a continuous casting process characterized by higher equiaxed crystal ratio, less composition segregation, and less internal shrinkage constitutes an important prerequisite for producing high-quality oil casting steel and providing a safe production environment in petroleum and natural gas mining. Numerical simulations of metallurgical processes offer an economical and ideal method for studying the solidification phenomenon in continuous casting [2,3]. More specifically, the cellular automaton-finite element (CAFE) model, by virtue of its explicit physical mechanism, high simulation precision, and other advantages, has been widely applied in the simulation of solidification structure [4][5][6][7][8].…”