Selection of the best phase transformation model for optimization of manufacturing processes of pearlitic steel rails

Kuziak, R.; Pidvysotskyy, V.; Pernach, M.; Rauch, Ł.; Zygmunt, Tomasz; Pietrzyk, M.

doi:10.1016/j.acme.2018.12.004

Cited by 15 publications

(14 citation statements)

References 18 publications

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“…Models were validated for various cooling rates and reasonably good accuracy of the model was confirmed. Results may be seen in [20] for the pearlitic steel and in Fig. 4 for the bainitic steels.…”

Section: Phase Transformationsmentioning

confidence: 97%

“…The first was typical pearlitic steel containing 0.7%C and 1.1%Mn. This steel was thoroughly investigated in [20]. Remaining two were bainitic steels containing 0.33% C and 1.43% Mn distinguished by the concentration of chromium.…”

Section: Experiments-identification Of Modelsmentioning

confidence: 99%

“…Coefficients used in the model of phase transformation were identified based on dilatometric tests. Results of the model identification for pearlitic steel are described in [20]. Bainitic steel samples were subjected to thermomechanical cycle shown in Fig.…”

Section: Phase Transformationsmentioning

confidence: 99%

“…Two types of steels, pearlitic and bainitic, were investigated. Phase transformation models for pearlitic steel were developed in earlier publications [19,20] and only main equations are repeated here for completeness of this paper. All material models for bainitic rail steel were developed in the present work and are described below.…”

Section: Introductionmentioning

confidence: 99%

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Numerical simulation of manufacturing process chain for pearlitic and bainitic steel rails

Milenin

Zalecki

Pernach

et al. 2020

Archiv.Civ.Mech.Eng

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Computer system for the design of technology of the manufacturing of pearlitic and bainitic rails was presented in this paper. The system consists of the FEM simulation module of thermal–mechanical phenomena and microstructure evolution during hot rolling integrated with the module of phase transformation occurring during cooling. Model parameters were identified based on dilatometric tests. Physical simulations, including Gleeble tests, were used for validation and verification of the models. In the case of pearlitic steels, the process of subsequent immersions of the rail head in the polymer solution was numerically simulated. The objective function in the optimization procedure was composed of minimum interlamellar spacing and maximum hardness. Cooling in the air at a cooling bed was simulated for the bainitic steel rails and mechanical properties were predicted. The obtained results allowed us to formulate technological guidelines for the process of accelerated cooling of rails.

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Section: Phase Transformationsmentioning

confidence: 97%

Section: Experiments-identification Of Modelsmentioning

confidence: 99%

Section: Phase Transformationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical simulation of manufacturing process chain for pearlitic and bainitic steel rails

Milenin

Zalecki

Pernach

et al. 2020

Archiv.Civ.Mech.Eng

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“…Process of heat treatment after hot rolling is simulated using authors FE program [8] with phase transformation and mechanical properties models solved at each Gauss integration point of the FE mesh. In this paper, the program capability to optimize this process is demonstrated.…”

Section: Numerical Simulations Of Rail Head Hardening Processmentioning

confidence: 99%

Optimization of the Heat Treatment Process to Obtain the Required Distribution of Mechanical Properties in the Rail Head of Pearlitic Rails

Kuziak¹,

Pidvysotskyy²,

Radwański³

et al. 2019

JMM

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The paper presents metallurgically based approach allowing the design of the parameters of the pearlitic rail head heat treatment to obtain the targeted mechanical properties. The described solutions enable predicting the progress of phase transformations, final microstructure and mechanical properties distribution in the pearlitic rail subject to heat treatment. It also allows the optimization of the cooling conditions to obtain a strictly defined distribution of mechanical properties in the rail head. The program is developed as a result of research activities performed in the HyPremRail R&D project. The core of the program consists of the phase transformations model which is implemented in the numerical code based on the FEM for heat transfer calculations. The model predicts the pearlite nodule and colony size as well as cementite interlamellar spacing. Using these parameters, strength properties distribution in the rail can be predicted, since the phase transformations model is combined with the Fourier heat transfer equation. To perform the numerical simulations, the boundary conditions for heat treatment should be defined. On the contrary, using inverse analysis, the program can provide the cooling conditions allowing obtaining defined mechanical properties distribution in rail head.Keywords: pearlitic microstructure, phase transformations, mechanical properties, heat treatment of rails, numerical modelling Artykuł przedstawia matematyczny model oparty na wiedzy metaloznawczej, umożliwiający zaprojektowanie parametrów obróbki cieplnej główki szyny ze stali perlitycznej w celu uzyskania pożądanych właściwości mechanicznych. Dzięki implementacji modelu w programie komputerowym opartym na metodzie elementów skończonych możliwe jest śledzenie postępu przemian fazowych w trakcie obróbki cieplnej główki szyny o strukturze perlitycznej, a w efekcie końcowym również przewidywanie parametrów mikrostruktury finalnej oraz właściwości mechanicznych szyny. Drugą funkcją programu jest określenie warunków obróbki cieplnej powodujących uzyskanie założonego rozkładu właściwości mechanicznych w główce szyny obrabianej cieplnie. Prezentowane podejście oraz program komputerowy opracowano w ramach prac związanych z realizacją projektu badawczo-rozwojowego "HyPremRail". Po zadaniu warunków chłodzenia program realizuje lokalnie obliczenia odległości między płytkami cementytu, wielkości ziarna i kolonii perlitu w oparciu o opracowany model przemian fazowych, posługując się rozwiązaniem MES równania Fouriera, a następnie przelicza wartości uzyskanej odległości międzypłytkowej na twardość, granicę plastyczności i wytrzymałość na rozciąganie. Przeprowadzenie obliczeń wymaga zdefiniowania warunków początkowych i brzegowych procesu obróbki cieplnej. Z kolei zagadnienie optymalizacji parametrów procesu w celu uzyskania korzystnego rozkładu właściwości mechanicznych w obszarze główki rozwiązywane jest za pomocą metody obliczeń odwrotnych.Słowa kluczowe: mikrostruktura perlityczna, przemiany fazowe, właściwości mechaniczne, obróbka ciepln...

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Transformation Characteristics and Microstructure of Rail under Low Stress during Continuous Cooling

Cen

Lin

Guo

et al. 2021

J. Wuhan Univ. Technol.-Mat. Sci. Edit.

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Selection of the best phase transformation model for optimization of manufacturing processes of pearlitic steel rails

Cited by 15 publications

References 18 publications

Numerical simulation of manufacturing process chain for pearlitic and bainitic steel rails

Numerical simulation of manufacturing process chain for pearlitic and bainitic steel rails

Optimization of the Heat Treatment Process to Obtain the Required Distribution of Mechanical Properties in the Rail Head of Pearlitic Rails

Transformation Characteristics and Microstructure of Rail under Low Stress during Continuous Cooling

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