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Nucleation Behavior Analysis of Intragranular Acicular Ferrite in a Ti-killed C-Mn Steel 被引量:9
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作者 Feng CHAI Hang SU +1 位作者 Cai-fu YANG Dong-mei XUE 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2014年第3期369-374,共6页
By using a Gleeble 350013 thermo-mechanical simulator, the nucleation behavior of intragranular acicular ferrites (IAF) was studied in a Ti-killed C-Mn steel. During continuous cooling transformation, the allotriomo... By using a Gleeble 350013 thermo-mechanical simulator, the nucleation behavior of intragranular acicular ferrites (IAF) was studied in a Ti-killed C-Mn steel. During continuous cooling transformation, the allotriomorphic ferrite (AF) and ferrite side plate (FSP) microstructures grew more rapidly with the temperature decreasing from 800 to 650 ℃, and the IAF microstructure was dominant within austenite grain with further cooling to 600 ℃. The diffusion bonding experiment and the effect of C, Mn and Si concentrations on the Ao3 temperature by thermodynam- ic calculation confirm that Ti2O3 itself absorbs neighboring Mn atoms to form Mn-depleted zone (MDZ), which pro- motes the nucleation of IAF microstructure effectively. High temperature holding tests indicate that the nucleation potential of IAF microstructure was lowered in the Ti-killed C-Mn steel when it was treated at high temperature (1250 ℃ ) for a longer time, which is attributed to the saturated absorption degree of Mn atoms by titanium oxide. 展开更多
关键词 intragranular aeicular ferrite ti-killed c-mn steel Ti2O3 Mn depleted zone
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Cellular automaton simulation of peritectic solidification of a C-Mn steel 被引量:1
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作者 Su Bin Han Zhiqiang Liu Baicheng 《China Foundry》 SCIE CAS 2012年第3期221-225,共5页
A cellular automaton model has been developed to simulate the microstructure evolution of a C-Mn steel during the peritectic solidification. In the model, the thermodynamics and solute diffusion of multi-component sys... A cellular automaton model has been developed to simulate the microstructure evolution of a C-Mn steel during the peritectic solidification. In the model, the thermodynamics and solute diffusion of multi-component systems were taken into account by using Thermo-Calc and Dictra software package. Scheil model was used to predict the relationship between the solid fraction and the temperature, which was used to calculate the movement velocity of the L/δ and the L/y interfaces. A mixed-mode model in multi-component systems was adopted to calculate the movement velocity of the 6/7 interface. To validate the cellular automaton model, the variation of manganese distribution was studied. The simulated results showed a good agreement with experimental results reported in literatures. Meanwhile, the simulated growth kinetics of peritectic solidification agreed well with the experimental results obtained using confocal scanning laser microscopy (CSLM). The model can simulate the growth kinetics of the peritectic solidification and the distribution of concentrations of all components in grains. 展开更多
关键词 cellular automaton peritectic solidification c-mn steel MULTI-COMPONENT numerical simulation
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Computer Simulating Calculation on the Microstructure Evolutions during Hot Strip Rolling of C-Mn Steels
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作者 Zhenyu LIU Guodong WANG and Qiaing ZHANG(Northeastern University, Shenyang, 110006, China) 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 1994年第3期221-224,共4页
The program to predict the microstructure evolutions during hot strip rolling of C-M n steels has been developed in this paper, BV using this program, the microstructure changes with the processing parameters were ana... The program to predict the microstructure evolutions during hot strip rolling of C-M n steels has been developed in this paper, BV using this program, the microstructure changes with the processing parameters were analysed in detail. showing not only a good agreement of prediction with the measured values, but also entirely possibility to optimize hot strip rolling precess by computer simulation 展开更多
关键词 MN Computer Simulating Calculation on the Microstructure Evolutions during Hot Strip Rolling of c-mn steels FIGURE
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Carbides/nitrides precipitates in a C-Mn strip by CSP technology 被引量:2
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作者 Ling Zhang Wangyue Yang +1 位作者 Weiwei Zheng Zuqing Sun 《Journal of University of Science and Technology Beijing》 CSCD 2005年第6期517-520,共4页
The carbides/nitrides precipitates in ferrite grains, on grain boundaries and dislocations were investigated on a hot-rolled C-Mn strip (0.16wt%C-1.22wt%Mn-0.022wt%Ti) produced by the CSP (compact strip production... The carbides/nitrides precipitates in ferrite grains, on grain boundaries and dislocations were investigated on a hot-rolled C-Mn strip (0.16wt%C-1.22wt%Mn-0.022wt%Ti) produced by the CSP (compact strip production) technology using TEM and X-ray energy dispersive spectroscopy. The Pickering's equation for the contribution of precipitates to the yield stress was also discussed. It is shown that there are numerous fine and dispersive precipitates TiC in the ferrite grains, on the grain boundaries and dislocations. Also there are a small amount of coarser Ti(C, N) particles and TiC particles associated with MnS. Precipitation strengthening on steels produced by the CSP technology is significant. 展开更多
关键词 CSP technology c-mn steel carbides/nitrides precipitates
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Optimal design of hot rolling process for C-Mn steel by combining industrial data-driven model and multi-objective optimization algorithm 被引量:6
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作者 Si-wei Wu Xiao-guang Zhou +3 位作者 Jia-kuang Ren Guang-ming Cao Zhen-yu Liu Nai-an Shi 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2018年第7期700-705,共6页
A successful mechanical property data-driven prediction model is the core of the optimal design of hot rolling process for hot-rolled strips. However, the original industrial data, usually unbalanced, are inevitably m... A successful mechanical property data-driven prediction model is the core of the optimal design of hot rolling process for hot-rolled strips. However, the original industrial data, usually unbalanced, are inevitably mixed with fluctuant and abnormal values. Models established on the basis of the data without data processing can cause misleading results, which cannot be used for the optimal design of hot rolling process. Thus, a method of industrial data processing of C-Mn steel was proposed based on the data analysis. The Bayesian neural network was employed to establish the reliable mechanical property prediction models for the optimal design of hot rolling process. By using the multi-objective optimization algorithm and considering the individual requirements of costumers and the constraints of the equipment, the optimal design of hot rolling process was successfully applied to the rolling process design for Q345B steel with 0.017% Nb and 0.046% Ti content removed. The optimal process design results were in good agreement with the industrial trials results, which verify the effectiveness of the optimal design of hot rolling process. 展开更多
关键词 Industrial data Data processing - Mechanical property Optimal design Hot rolling process c-mn steel
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Influence of Mn Content and Hot Deformation on Transformation Behavior of C-Mn Steels 被引量:4
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作者 LI Long DING Hua +3 位作者 DU Lin-xiu WEN Jing-lin SONG Hong-mei ZHANG Pi-jun 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2008年第2期51-55,共5页
The hot deformation behaviors and the microstructural evolution of plain C-Mn steels with similar contents of C and Si but different contents of Mn have been investigated by compressive processing using Gleeble-1500 m... The hot deformation behaviors and the microstructural evolution of plain C-Mn steels with similar contents of C and Si but different contents of Mn have been investigated by compressive processing using Gleeble-1500 mechanical simulator.Influence of Mn and hot deformation on continuous cooling transformation of steels has been studied.The experimental results showed that deformation in austenite region accelerated transformation process,and the extent is dependent on the hot deformation and cooling conditions.The hot deformation would promote transformation process,but the increase of transformation temperature is dependent on Mn contents.The results have also shown that the effect of deformation on ferrite transformation becomes more obvious with the increase of Mn content at relatively low cooling rate. 展开更多
关键词 c-mn steel hot deformation cooling rate phase transformation BAINITE
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Cellular automaton modeling of austenite formation from ferrite plus pearlite microstructures during intercritical annealing of a C-Mn steel 被引量:2
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作者 Chunni Jia Chengwu Zheng Dianzhong Li 《Journal of Materials Science & Technology》 SCIE EI CAS CSCD 2020年第12期1-9,共9页
A mesoscopic cellular automaton model was developed to study the microstructure evolution and solute redistribution of austenization during intercritical annealing of a C-Mn steel. This model enables a depiction of th... A mesoscopic cellular automaton model was developed to study the microstructure evolution and solute redistribution of austenization during intercritical annealing of a C-Mn steel. This model enables a depiction of three-stage kinetics of the transformation combined with the thermodynamic analysis:(1) the rapid austenite growth accompanied with pearlite degeneration until the pearlite dissolves completely;(2) the slower austenite growth into ferrite with a rate limiting factor of carbon diffusion in austenite;and(3) the slow austenite growth in control of the manganese diffusion until the final equilibrium reached for ferrite and austenite. The effect of the annealing temperature on the transformation kinetics and solute partition is also quantitatively rationalized using this model. 展开更多
关键词 Austenization Intercritical annealing c-mn steels Cellular automaton Mesoscale modeling
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Upgrade Rolling Based on Ultra Fast Cooling Technology for C-Mn Steel 被引量:2
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作者 Xiao-guang ZHOU Zhen-yu LIU +2 位作者 Sheng-yong SONG Di WU Guo-dong WANG 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2014年第1期86-90,共5页
By measuring the expansion curves of a C-Mn steel at different cooling rates by using an MMS-300 thermo- mechanical simulator, continuous cooling transformation curves were obtained. The new process "ultra fast cool... By measuring the expansion curves of a C-Mn steel at different cooling rates by using an MMS-300 thermo- mechanical simulator, continuous cooling transformation curves were obtained. The new process "ultra fast cooling+ laminar cooling" was simulated and the effects of ultra fast cooling ending temperature on microstructure had also been investigated. The hot rolling experiment was done by adopting "high temperature rolling-[-forepart ultra fast cooling" technologies at laboratory scale. The results revealed that ultra fast cooling can delay the decrease of disloca- tion density and refine ferrite grains. Diversity control of the microstructure and phase transformation strengthening can be realized by changing the ultra fast cooling ending temperature. With the decrease of ultra fast cooling ending temperature, the strength and toughness increase, but plasticity does not decrease obviously. The new technique can improve the yield strength by over 50 MPa. Therefore, the upgrade of mechanical properties of C-Mn steel can be realized by using "high temperature rolling+ ultra fast cooling+laminar cooling" technique. Compared with "low temperature rolling with large deformation degree" technique, this new technology can decrease the roiling force and in- crease the production efficiency. 展开更多
关键词 ultra fast cooling c-mn steel grain refinement strengthening phase transformation strengthening grain size
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Effect of cooling time t8/5 on microstructure and toughness of Nb-Ti- Mo microalloyed C-Mn steel 被引量:2
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作者 Xiao-nan Wang Xia-ming Chen +4 位作者 Feng Wen Peng-fei Guo Lei Yang Qian Yan Hong-shuang Di 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2018年第10期1078-1085,共8页
In order to further optimize welding process of Nb-Ti-Mo microalloyed steel, welding thermal cycles on coarse-grained heat-affected zone (CGHAZ) of welded joints were simulated using Gleeble 1500. The microstructure... In order to further optimize welding process of Nb-Ti-Mo microalloyed steel, welding thermal cycles on coarse-grained heat-affected zone (CGHAZ) of welded joints were simulated using Gleeble 1500. The microstructure and low-temperature impact fracture were investigated using a scanning electron microscope and a pendulum impact machine, respectively. Moreover, the relationship between cooling time ts/5 and the microstructure of CGHAZ was discussed, and the effect of microstructure on impact toughness was also studied. As cooling time increased, martensite fraction decreased from 97.8% (3 s) to 3.0% (60 s). The fraction of martensite/austenite (M/A) constituent increased from 2.2% (3 s) to 39.0% (60 s), its shape changed from granular to strip, and the maximum length increased from 2.4 μm (3 s) to 7.0 μm (60 s). As cooling time increased, the prior austenite grain size increased from 34.0 μm (3 s) to 49.0 gm (60 s), the impact absorption energy reduced from 101.8 J (5 s) to 7.2 J (60 s), and the fracture mechanism changed from quasi-cleavage fracture to cleavage fracture. The decreased toughness of CGHAZ was due to the reduction of lath martensite-content, coarsening of original austenite grain, and increase and coarsening of M/A constituent. The heat input was controlled under 7 kJ cm-1 during actual welding for these steels. 展开更多
关键词 Microalloyed c-mn steel Cooling time - Impact absorption energy M/A constituent Coarse-grained heataffected zone Heat input
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Formation of Inclusion in Ti–Al Killed Low C–Mn Steel
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作者 Cheng-wei YANG Xin-hua WANG +4 位作者 Tie OU Jiang-hua QI Wan-jun ZHU Jun-fu CHEN Li-ping LIN 《Journal of Iron and Steel Research International》 SCIE EI CAS CSCD 2014年第S1期87-90,共4页
The formation of inclusion in Ti–Al complex deoxidized C–Mn steel was investigated. When Al content in steel is very low([Al]=0.0005%), for 0.003%【[Ti]【0.007%, the inclusion is the Al2O3–SiO2–MnO–TiOx composite... The formation of inclusion in Ti–Al complex deoxidized C–Mn steel was investigated. When Al content in steel is very low([Al]=0.0005%), for 0.003%【[Ti]【0.007%, the inclusion is the Al2O3–SiO2–MnO–TiOx composite inclusion; for [Ti]≥0.009%, the inclusion is TiOx in the steel. When [Ti]=0.005%, [Al]【0.001%, the inclusion is the Al2O3–SiO2–MnO–TiOx composite inclusion; while [Al]】0.006%, inclusions would be pure Al2O3. The experimental results agree with the thermodynamics conclusions. 展开更多
关键词 ti-killed steel oxide metallurgy INCLUSION
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