Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic

Mauder, Tomáš; Šandera, Čeněk; Stetina, Josef

doi:10.1002/srin.201400213

Cited by 23 publications

(20 citation statements)

References 19 publications

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“…According to the optimization criteria, the numerical model and fuzzy-regulation algorithm 6 were used to calculate new casting parameters for the exanimated steel. In order to get the metallurgical-length position between 12-15 m, the casting speed has to decrease to 89 % of the original speed.…”

Section: Resultsmentioning

confidence: 99%

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Improvement of the casting of special steel with a wide solid-liquid interface

Mauder¹,

Stetina²

2016

Mater. Tehnol.

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In the last few years, steelmakers have been facing a significant decrease in the steel demand caused by the global economic crisis. Positive economic results have mostly been reached in the steel factories that have focused on special steel production with higher product capabilities, such as higher strength grades, steel design for acidic environments, steel for the offshore technology, etc. These steels must keep the mechanical properties, such as the resistance to rapture, compression strength, stress-strain properties, etc., within strict limits. The numerical calculations and optimization of casting parameters were provided. The results show the recommended casting parameters and differences between the examined steel and classic low-carbon steels.

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Section: Resultsmentioning

confidence: 99%

“…Its results are validated with long-time measurements made during the real casting process. A detailed description of the numerical model can be found in 7 . Thermophysical properties are calculated by the IDS solidification package.…”

Section: Numerical Simulationsmentioning

confidence: 99%

Improvement of the casting of special steel with a wide solid-liquid interface

Mauder¹,

Stetina²

2016

Mater. Tehnol.

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“…[1][2][3] Additionally, accurate thermo-physical material properties are needed for simulations. 4 The Heat Transfer and Fluid Flow Laboratory developed a methodology for predicting the temperature field of heat-treated rails. This methodology is described in this article.…”

Section: Introductionmentioning

confidence: 99%

Heat treatment of rails

Hnízdil¹,

Kotrbáček²

2017

Mater. tehnol.

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Heat treatment is increasingly used in the heavy industry. The main advantage of this method is the achievement of the required material and mechanical properties. Heat treatment allows for a manufacturing process, which can improve product performance by increasing the steel strength, hardness and other desirable characteristics. The microstructure, grain size and chemical composition of steel affect its overall mechanical behavior. Heat treatment is an efficient way to manipulate the properties of a steel product by controlling the cooling rate. It can be expressed using the heat-transfer coefficient (HTC). The controllability of the cooling process is very important. Mist and water nozzles may provide good controllability of the HTC. An experimental stand was designed and built. The stand consists of a movable trolley with a test sample, which moves under a spray at a given velocity. Sensors record the temperature history of the tested material. This experimental stand enables simulations of a variety of cooling regimes and evaluations of the final structures of tested samples. The same experimental stand is also used for designing cooling sections in order to determine the required heat-treatment procedures and the final structures. This paper describes a cooling-section design procedure for obtaining the required structure and mechanical properties of rails. Keywords: heat transfer, heat treatment, cooling, heat-transfer coefficient, spray cooling Uporaba toplotne obdelave se v te`ki industriji pove~uje. Glavna prednost te metode je, da se dose`e zahtevane mehanske lastnosti materiala. Toplotna obdelava omogo~a postopke izdelave, ki lahko izbolj{ajo lastnosti proizvodov s tem, da pove~ajo trdnost jekla, trdoto in druge za`eljene zna~ilnosti. Mikrostruktura, velikost zrn in kemijska sestava jekla vplivajo na mehanske lastnosti. Toplotna obdelava je u~inkovita pot za vplivanje na lastnosti jeklenega proizvoda s kontroliranjem hitrosti ohlajanja. Lahko se jo izrazi z uporabo koeficienta prenosa toplote. Mo`nost kontrole postopka ohlajanja je zelo pomembna. Obvladanje procesa ohlajanja je zelo pomembno. Vodna para in vodne {obe omogo~ajo dobro kontrolo koeficienta prenosa toplote (angl. HTC). Na~rtovano in postavljeno je bilo eksperimentalno stojalo. Stojalo sestoji iz vozi~ka z vzorcem, ki se pomika pod {obe z dano hitrostjo. Senzorji bele`ijo temperaturno zgodovino vzorca. Eksperimentalno stojalo omogo~a simulacijo razli~nih re`imov ohlajanja in oceno kon~ne mikrostrukture preizku{enega vzorca. Isto stojalo je uporabno tudi kot orodje pri na~rtovanju hladilnih odsekov za dolo~anje postopka toplotne obdelave in kon~ne mikrostrukture.^lanek opisuje postopek na~rtovanja odseka za izvajanje hlajenja, za zagotavljanje`eljene mikrostrukture in mehanskih lastnosti`elezni{kih tirnic.

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“…Their exceptional set of properties make them ideal for automotive frame and safety structures since the increase in ductility enables the formation of more complex parts in a single step while the increased strength allows the designer to use thinner sections, reducing the weight and maintaining collision energy absorption. Because the market requirements in the steel industry are continually increasing, nowadays, continuous casting is the most common way of producing steel in the world [15]. Every year, the steel industry processes millions of tons of liquid steel into semifinished products such as slabs, blooms, and billets.…”

Section: Introductionmentioning

confidence: 99%

Effect of Ti and B microadditions on the hot ductility behavior of a High-Mn austenitic Fe–23Mn–1.5Al–1.3Si–0.5C TWIP steel

Mejı́a

Salas-Reyes

Calvo

et al. 2015

Materials Science and Engineering: A

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a b s t r a c tThis research work studies the effect of combined Ti and B microadditions and the solidification route on the hot ductility behavior of a high-Mn austenitic Twinning Induced Plasticity (TWIP) steel. For this purpose, uniaxial hot tensile tests were carried out at different temperatures between 700 and 1100°C under a constant strain rate of 10. The hot ductility was determined by measuring the reduction of transverse area (%RA) after specimen rupture. Characterization was performed by SEM-EBSD and TEM techniques in order to identify the relationship between microstructural features and cracking phenomena. Results indicate that the early occurrence of dynamic recrystallization (DRX) at the intermediate temperature range (800-900°C) is the favorable mechanism that enhances the ductility, achieving RA values up to 82%. These high RA values are discussed in terms of the boron effect on the improvement of the grain-boundaries cohesion through non-equilibrium segregation, and Ti(C,N) precipitation, which reduces the formation of harmful precipitates such as BN and AlN. Additionally, the Fe 23 (B,C) 6 and B 4 C compounds were identified, which are less detrimental to hot ductility than boron-nitride compounds. Finally, the fracture surfaces of the present TWIP steels in the temperature range of the highest ductility indicate that the failure mode is of the ductile type as evidenced by the presence of many dimples.

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Optimal Control Algorithm for Continuous Casting Process by Using Fuzzy Logic

Cited by 23 publications

References 19 publications

Improvement of the casting of special steel with a wide solid-liquid interface

Improvement of the casting of special steel with a wide solid-liquid interface

Heat treatment of rails

Effect of Ti and B microadditions on the hot ductility behavior of a High-Mn austenitic Fe–23Mn–1.5Al–1.3Si–0.5C TWIP steel

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