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作 者:杨婷 潘进 王程明 马成 佘亚东 Yang Ting;Pan Jin;Wang Chengming;Ma Cheng;She Yadong(Hebei HBIS Material Technology Research Institute Co.,Ltd.,Shijiazhuang Hebei 050023,China)
机构地区:[1]河北河钢材料技术研究院有限公司,河北石家庄050023
出 处:《金属热处理》2025年第3期220-226,共7页Heat Treatment of Metals
摘 要:采用Gleeble-3800热模拟试验机研究了焊材用低温高锰钢在温度800~1000℃、应变速率0.01~10 s^(-1)的热压缩变形行为,对试验应力-应变曲线进行了摩擦修正与温度修正。应用修正后的流变曲线建立了试验钢的Arrhenius本构方程及BP神经网络本构模型,并绘制了真应变为0.2、0.4和0.6的热加工图。结果表明,Arrhenius本构模型流变应力预测值与试验值的相关系数为0.976,基于BP神经网络构建的本构模型流变应力的预测精度更高,相关系数为0.996。试验低温高锰钢的最佳热加工区窗口为:变形温度930~1000℃、应变速率0.01~0.1 s^(-1)。结合显微组织分析,发现在变形温度950℃,应变速率0.01 s^(-1)工艺参数下,高锰钢能发生完全动态再结晶,获得均匀细小的等轴晶组织。Hot compression deformation behavior of a low-temperature high-Mn steel for welding materials was studied using a Gleeble-3800 thermal simulation testing machine within the temperature range of 800-1000℃and strain rate range of 0.01-10 s^(-1).Friction correction and temperature correction were applied to the stress-strain curves.The Arrhenius constitutive equation and the BP neural network constitutive model of the tested steel were established using the corrected flow curves.Additionally,hot processing maps at true strains of 0.2,0.4,and 0.6 were plotted.The results show that the correlation coefficient between the predicted and tested values of the flow stress in the Arrhenius constitutive model is 0.976.The constitutive model based on the BP neural network has a higher prediction accuracy for the flow stress,with a correlation coefficient of 0.996.The optimal hot processing zone for the tested low-temperature high-Mn steel is as follows:the deformation temperature ranges from 930℃to 1000℃,and the strain rate ranges from 0.01 s^(-1) to 0.1 s^(-1).Combined with the microstructure analysis,it is found that under the process parameters of a deformation temperature of 950℃and a strain rate of 0.01 s^(-1),complete dynamic recrystallization can occur in the tested steel,resulting in a uniform and fine equiaxed grain structure.
关 键 词:低温高锰钢 应力修正 本构方程 热加工图 热变形行为
分 类 号:TG142[一般工业技术—材料科学与工程]
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