Modeling of Austenite Decomposition during Continuous Cooling Process in Heat Treatment of Hypoeutectoid Steel with Cellular Automaton Method

2017 ◽  
Vol 88 (9) ◽  
pp. 1600490 ◽  
Author(s):  
Bin Su ◽  
Qingxian Ma ◽  
Zhiqiang Han
Keyword(s):  
Heat Treatment ◽  
Cellular Automaton ◽  
Austenite Decomposition ◽  
Cooling Process ◽  
Continuous Cooling ◽  
Cellular Automaton Method ◽  
Hypoeutectoid Steel

scholarly journals Model of the Austenite Decomposition during Cooling of the Medium Carbon Steel Using LSTM Recurrent Neural Network

Materials ◽  
2021 ◽  
Vol 14 (16) ◽  
pp. 4492
Author(s):  
Adam Kulawik ◽  
Joanna Wróbel ◽  
Alexey Mikhailovich Ikonnikov
Keyword(s):  
Neural Network ◽  
Short Term Memory ◽  
Medium Carbon Steel ◽  
Training Data ◽  
Cooling Curve ◽  
Macroscopic Model ◽  
Austenite Decomposition ◽  
Cooling Process ◽  
Time Step ◽  
Continuous Cooling

The motivation of the presented paper is the desire to create a universal tool to analyse the process of austenite decomposition during the cooling process of various steel grades. The presented analysis concerns the application of Recurrent Artificial Neural Networks (RANN) of the Long Short-Term Memory (LSTM) type for the analysis of the transition path of the cooling curve. This type of network was selected due to its ability to predict events in time sequences. The proposed generalisation allows for the determination of the austenite transformation during the continuous cooling process for various cooling curves. As training data for the neural network, values determined from the macroscopic model based on the analysis of Continuous Cooling Transformation (CCT) diagrams were used. All relations and analyses used to build training/testing or validation sets are presented in the paper. The modelling with the use of LSTM network gives the possibility to determine the incremental changes of phase transformation (in a given time step) with the assumed changes of temperature resulting from the considered cooling rate.

scholarly journals Cellular automaton simulation of microstructure evolution during austenite decomposition under continuous cooling conditions

2001 ◽  
Vol 24 (3) ◽  
pp. 305-312 ◽  
Author(s):  
M. R. Varma ◽  
R. Sasikumar ◽  
S. G. K. Pillai ◽  
P. K. Nair
Keyword(s):  
Cellular Automaton ◽  
Microstructure Evolution ◽  
Austenite Decomposition ◽  
Continuous Cooling ◽  
Cooling Conditions

scholarly journals Optimization of the CCT Curves for Steels Containing Al, Cu and B

2021 ◽  
Author(s):  
Jyrki Miettinen ◽  
Sami Koskenniska ◽  
Mahesh Somani ◽  
Seppo Louhenkilpi ◽  
Aarne Pohjonen ◽  
...  
Keyword(s):  
Phase Transformation ◽  
Grain Boundary ◽  
Grain Boundaries ◽  
Austenite Decomposition ◽  
Final Phase ◽  
Cast Irons ◽  
Continuous Cooling Transformation ◽  
Continuous Cooling ◽  
Final Optimization ◽  
Cct Diagrams

AbstractNew continuous cooling transformation (CCT) equations have been optimized to calculate the start temperatures and critical cooling rates of phase formations during austenite decomposition in low-alloyed steels. Experimental CCT data from the literature were used for applying the recently developed method of calculating the grain boundary soluble compositions of the steels for optimization. These compositions, which are influenced by solute microsegregation and precipitation depending on the heating/cooling/holding process, are expected to control the start of the austenite decomposition, if initiated at the grain boundaries. The current optimization was carried out rigorously for an extended set of steels than used previously, besides including three new solute elements, Al, Cu and B, in the CCT-equations. The validity of the equations was, therefore, boosted not only due to the inclusion of new elements, but also due to the addition of more low-alloyed steels in the optimization. The final optimization was made with a mini-tab tool, which discarded statistically insignificant parameters from the equations and made them prudently safer to use. Using a thermodynamic-kinetic software, IDS, the new equations were further validated using new experimental CCT data measured in this study. The agreement is good both for the phase transformation start temperatures as well as the final phase fractions. In addition, IDS simulations were carried out to construct the CCT diagrams and the final phase fraction diagrams for 17 steels and two cast irons, in order to outline the influence of solute elements on the calculations and their relationship with literature recommendations.

scholarly journals Mixing of Two-Component Flow in a Simplified Stirred Tank with Cellular Automaton Method

1997 ◽  
Vol 63 (605) ◽  
pp. 194-200 ◽  
Author(s):  
Satoru WATANABE ◽  
Ryoichi TAKAHASHI
Keyword(s):  
Cellular Automaton ◽  
Stirred Tank ◽  
Two Component ◽  
Cellular Automaton Method

scholarly journals Introduction of Dendrite Fragmentation to Microstructure Calculation by Cellular Automaton Method

2018 ◽  
Vol 104 (10) ◽  
pp. 559-566
Author(s):  
Shugo Morita ◽  
Yuji Miki ◽  
Keigo Toishi
Keyword(s):  
Cellular Automaton ◽  
Dendrite Fragmentation ◽  
Cellular Automaton Method

scholarly journals Significantly fast spinodal decomposition and inhomogeneous nanoscale martensitic transformation in Ti–Nb–O alloys

2020 ◽  
Vol 321 ◽  
pp. 11049
Author(s):  
Yuya ISHIGURO ◽  
Yuhki TSUKADA ◽  
Toshiyuki KOYAMA
Keyword(s):  
Heat Treatment ◽  
Martensitic Transformation ◽  
Spinodal Decomposition ◽  
Treatment Temperature ◽  
Phase Field Method ◽  
Isothermal Heat Treatment ◽  
Phase Decomposition ◽  
Rate Condition ◽  
Continuous Cooling ◽  
Β Phase

The β phase spinodal decomposition during continuous cooling in Ti‒Nb‒O alloys is investigated by the phase-field method. Addition of only a few at.%O to Ti‒23Nb (at.%) alloy remarkably increases the driving force of the β phase spinodal decomposition. During isothermal heat treatment at 1000 K and 1100 K in Ti‒23Nb‒3O (at.%) alloy, the β phase separates into β1 phase denoted as (Ti)1(O, Va)3 and β2 phase denoted as (Ti, Nb)1(Va)3, resulting in the formation of nanoscale concentration modulation. The phase decomposition progresses in 0.3‒20 ms. In Ti‒23Nb‒XO alloys (X = 1.0, 1.2, 2.0), the spinodal decomposition occurs during continuous cooling with the rate of 500 K s‒1, indicating that the spinodal decomposition occurs during water quenching in the alloys. It is assumed that there is a threshold value of oxygen composition for inducing the spinodal decomposition because it does not occur during continuous cooling in Ti‒23Nb‒0.6O (at.%) alloy. The concentration modulation introduced by the β phase decomposition has significant effect on the β→α” martensitic transformation. Hence, it seems that for controlling microstructure and mechanical properties of Ti‒Nb‒O alloys, careful control of heat treatment temperature and cooling rate condition is required.

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