Computer simulation of steel quenching process using a multi-phase transformation model

Réti, Tamás; Fried, Z.; Felde, Imre

doi:10.1016/s0927-0256(01)00240-3

Cited by 70 publications

(47 citation statements)

References 11 publications

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“…3 kg m − . The thermal conductivity and specific heat for individual phases reported in the literature depend of the authors, although follows similar trends [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][24][25][26][27][28][29][30][31][32][33] . The reason for such lack is due to the possibility of different features of the phases formed depending on the thermal history.…”

Section: Thermophysical Propertiesmentioning

confidence: 73%

“…The material investigated in this work was a low-alloy hypoeutectoid steel with dimensions of 10 and 25 x 60 x 220 mm with the chemical composition presented in table 1. The material used in this study was selected due to its ability to undergo multiphase transformations during cooling, which allows the verifications of the kinetic model for phase transformations from the available data 16 . Furthermore, the computer code used in this study has been continuously developed by the authors and applied for different materials and welding conditions, which has validated the general features of the model and computer implementations [17][18][19] .…”

Section: Modelingmentioning

confidence: 99%

“…In this section will be presented some features of the model. A more detailed description concerning to its formulation can be found in elsewhere 16 . Thus, the base of the extended version of the multiphase diffusional transformation model of Avrami-…”

Section: Phase Transformationsmentioning

confidence: 99%

“…Following this matter, Reti et al 16 have proposed in the last decade a phenomenological kinetic model of Avrami-type to predict the multiphase diffusional decomposition of the Numerical Predictions for the Thermal History, Microstructure and Hardness Distributions at the HAZ during Welding of Low Alloy Steels austenite in low-alloy hypoeutectoid steels during cooling. The model consists of coupled differential equations and takes into account the austenitic grain growth effects, permitting the prediction of the progress of ferrite, pearlite, upper bainite and lower bainite transformations simultaneously.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, the present work is an attempt towards numerically to predict the transformations occurring during the welding of low-alloy hypoeutectoid steels. For this purpose, the kinetic model of Avramy-type proposed by Reti et al 16 was mathematically adapted and implemented using a developed finite volume method (FVM) based computational code. The model is capable of tracking the microstructural changes occurring at the HAZ of a low-alloy hypoeutectoid steel, besides of correlating it to the hardness variations observed in this weldment region.…”

Section: Introductionmentioning

confidence: 99%

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Numerical Predictions for the Thermal History, Microstructure and Hardness Distributions at the HAZ during Welding of Low Alloy Steels

et al. 2016

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A phenomenological model to predict the multiphase diffusional decomposition of the austenite in low-alloy hypoeutectoid steels was adapted for welding conditions. The kinetics of phase transformations coupled with the heat transfer phenomena was numerically implemented using the Finite Volume Method (FVM) in a computational code. The model was applied to simulate the welding of a commercial type of low-alloy hypoeutectoid steel, making it possible to track the phase formations and to predict the volume fractions of ferrite, pearlite and bainite at the heat-affected zone (HAZ). The volume fraction of martensite was calculated using a novel kinetic model based on the optimization of the well-known Koistinen-Marburger model. Results were confronted with the predictions provided by the continuous cooling transformation (CCT) diagram for the investigated steel, allowing the use of the proposed methodology for the microstructure and hardness predictions at the HAZ of low-alloy hypoeutectoid steels.

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Section: Thermophysical Propertiesmentioning

confidence: 73%

Section: Modelingmentioning

confidence: 99%

Section: Phase Transformationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Numerical Predictions for the Thermal History, Microstructure and Hardness Distributions at the HAZ during Welding of Low Alloy Steels

et al. 2016

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Ab‐Initio Calculation of Solute Effects on Austenite Grain Boundary Properties in Steel

Hoerner¹,

Eberhart²,

Speer³

2015

Proceedings of the 3rd World Congress on Integrated Computational Materials Engineering (ICME 2015)

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Differential Microstructure and Properties of Boron Steel Plates Obtained by Water Impinging Jet Quenching Technique

Romanov,

Jahedi,

Bäckström

et al. 2023

steel research int.

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Soil‐working tools in agriculture are made of boron containing steels with high wear resistance and hardenability. Nevertheless, these tools are subject to high impacts, abrasive wear, fatigue and therefore prone to failure. To combine varying levels of properties within one component in as‐quenched condition can be beneficial for such products. To obtain this property variation a component must undergo a complex and controllable cooling. Therefore, the aim of this work is to obtain a microstructure gradient along two 15 mm thick steel plates in a newly developed test rig by Water Jet Impingement Technique to confirm its controllability and flexibility. Furthermore, a quenching simulation model was created for hardness prediction using phase transformation data from a machine learning tool. Microstructure variation was observed using light optical microscopy and the electron backscatter diffraction technique. Mechanical properties were studied through tensile tests and hardness measurements, and also compared with simulation results. 0.27 mass‐% C steel sample obtained almost fully martensitic state transitioning to a softer ferritic/bainitic condition, while the 0.38 mass‐% C steel sample resulted predominantly in a fully hardened martensitic state slightly showing ferritic and bainitic features along the sample. The quenching simulation model showed promising hardness prediction for both steels.This article is protected by copyright. All rights reserved.

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Computer simulation of steel quenching process using a multi-phase transformation model

Cited by 70 publications

References 11 publications

Numerical Predictions for the Thermal History, Microstructure and Hardness Distributions at the HAZ during Welding of Low Alloy Steels

Numerical Predictions for the Thermal History, Microstructure and Hardness Distributions at the HAZ during Welding of Low Alloy Steels

Ab‐Initio Calculation of Solute Effects on Austenite Grain Boundary Properties in Steel

Differential Microstructure and Properties of Boron Steel Plates Obtained by Water Impinging Jet Quenching Technique

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