scholarly journals Application of Bayesian ANN and RJMCMC to predict the grain size of hot strip low carbon steels

2012 ◽  
Vol 77 (7) ◽  
pp. 937-944 ◽  
Author(s):  
Mohsen Botlani-Esfahani ◽  
Reza Toroghinejad
Keyword(s):  
Grain Size ◽  
Carbon Steels ◽  
Reversible Jump ◽  
Low Carbon ◽  
Steel Company ◽  
Steel Composition ◽  
Low Carbon Steels ◽  
Hot Strip ◽  
Artificial Neural Network Ann ◽  
Good Agreement

Artificial Neural Network (ANN) and Reversible Jump Markov Chain Monte Carlo (RJMCMC) are used to predict the grain size of hot strip low carbon steels, as a function of steel composition. Results show a good agreement with experimental data taken from Mobarakeh Steel Company (MSC). The developed model is capable of recognizing the role and importance of elements in grain refinement. Furthermore, effects of these elements including manganese, silicon and vanadium are investigated in the present study, which are in good agreement with the literature.

Effect of ferrite grain size on susceptibility to embrittlement of low-carbon steels

1974 ◽  
Vol 10 (4) ◽  
pp. 458-459
Author(s):  
Yu. A. Shul'te ◽  
G. G. Maksimovich ◽  
F. P. Yanchishin ◽  
V. N. Fedirko
Keyword(s):  
Grain Size ◽  
Carbon Steels ◽  
Low Carbon ◽  
Low Carbon Steels ◽  
Ferrite Grain Size

Effect of Zr Microalloying on Austenite Grain Size of Low-Carbon Steels

2019 ◽  
Vol 50 (6) ◽  
pp. 2574-2585 ◽  
Author(s):  
Minghao Shi ◽  
Rangasayee Kannan ◽  
Jian Zhang ◽  
Xiaoguang Yuan ◽  
Leijun Li
Keyword(s):  
Grain Size ◽  
Carbon Steels ◽  
Low Carbon ◽  
Austenite Grain Size ◽  
Low Carbon Steels ◽  
Austenite Grain

Application of the acoustic resonance method to evaluate the grain size of low carbon steels

1999 ◽  
Vol 32 (2) ◽  
pp. 85-89 ◽  
Author(s):  
Bongyoung Ahn ◽  
Seung Seok Lee ◽  
Soon Taik Hong ◽  
Ho Chul Kim ◽  
Suk-Joong L. Kang
Keyword(s):  
Grain Size ◽  
Resonance Method ◽  
Acoustic Resonance ◽  
Carbon Steels ◽  
Low Carbon ◽  
Low Carbon Steels

A Thermodynamic Database for Fe-Cr-Mn-Ni-Ti-S-C-N System

2005 ◽  
Vol 500-501 ◽  
pp. 711-718 ◽  
Author(s):  
Katsunari Oikawa ◽  
Hajime Mitsui ◽  
Kiyohito Ishida
Keyword(s):  
Complex System ◽  
Experimental Data ◽  
Phase Diagram ◽  
Thermodynamic Properties ◽  
Stainless Steels ◽  
Carbon Steels ◽  
Thermodynamic Database ◽  
Low Carbon ◽  
Low Carbon Steels ◽  
Good Agreement

A database for thermodynamic information of sulfides and carbo-sulfide in steels has been developed, where the thermodynamic properties of the relevant constituting sub-system of the complex system have been assessed by the CALPHAD (Calculation of Phase Diagrams) approach. The utility of this database is demonstrated in examples of phase diagram calculations of low carbon steels and stainless steels. The calculated results are in good agreement with experimental data. The developed thermodynamic database would be useful in predicting the formation of sulfides and carbo-sulfides in the commercial steels.

The Influence of Oxide Inclusion on Austenite Grain Size and Heat Affected Zone Toughness for Low Carbon Steels

2012 ◽  
Vol 715-716 ◽  
pp. 617-622 ◽  
Author(s):  
Wei Shu ◽  
Xue Min Wang ◽  
Cheng Jia Shang ◽  
Xin Lai He
Keyword(s):  
Grain Size ◽  
Heat Affected Zone ◽  
Acicular Ferrite ◽  
Oxide Inclusion ◽  
Thermal Simulation ◽  
Carbon Steels ◽  
Low Carbon ◽  
Austenite Grain Size ◽  
Low Carbon Steels ◽  
Austenite Grain

The low carbon steels were smelted with special oxide introduction technique and the HAZ properties has been studied with thermal simulation. The optical microscope, SEM and TEM were used to analyze the composition, size and distribution of the inclusions, and the mechanical properties after thermal simulation were also investigated. The influence of oxide inclusions on the austenite grain size was also studied. The results show that after the smelting the inclusion is complex, in the core is Ti oxides about 1-3 micron and around it is MnS. When the reheat temperature is below 1000, the size of austenite grain is the same for experimental steel and base steel. However, when the reheat temperature is over than 1100, the size of austenite grains in experimental steel is one third of that in base steels. After thermal simulation, with thet8/5increasing the toughness of HAZ decreased. The austnite grain size also increased. The microstructure is composed of intergranular ferrite and intragranular acicular ferrite. Therefore by introducing the fine oxide inclusion to the steel the austenite grain was refined and during the phase transformation the acicular ferrite formed at inclusions at first. These two factors are the main causes to improve the toughness of heat affected zone for steels produced by oxide metallurgy technique.

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