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Nb微合金化对齿轮钢晶粒尺寸的影响及预测模型优化

Effect of Nb Microalloying on Grain Size of Gear Steel and Optimization of Prediction Model
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摘要 研究了Nb微合金化对齿轮钢18CrNiMo7-6奥氏体晶粒长大的影响,并建立了Arrhenius晶粒长大模型,利用优化时间指数对考虑固溶因素的微合金化齿轮钢18CrNiMo7-6晶粒长大模型进行了优化。结果表明,在900~1100℃范围内晶粒平均尺寸随着保温温度的升高及时间的延长而长大,粗化温度为1000℃;18CrNiMo7-6钢和Nb微合金化18CrNiMo7-6钢的晶粒热激活能分别为132.086、153.500 kJ/mol,Arrhenius长大模型分别为2.223×10^(6)exp(-132086/RT)t^(n)和1.125×10^(7)exp(-153500/RT)t^(n);并建立了时间指数函数,分别为0.0775+0.2317/[1+10^((1326.73-T)×0.0235)]和0.0365+0.2109/[1+10^((1339.27-T)×0.0051)],通过时间指数函数优化了考虑固溶因素的晶粒尺寸预测模型,在高温下该模型预测效果更佳。 The effect of Nb microalloying on austenitic grain growth of gear steel 18CrNiMo7-6 was studied,and the Arrhenius grain growth model was established.The optimization time index was used to optimize the grain growth model of microalloying gear steel 18CrNiMo7-6 considering solid solution factors.The results showed that in the temperature range of 900 to 1100℃,the average grain size increased with the increase of holding temperature and time,and the coarsening temperature was 1000℃.The thermal activation energies of grain of 18CrNiMo7-6 steel and Nb microalloying 18CrNiMo7-6 steel was 132.086,153.500 kJ/mol,respectively.The Arrhenius growth model was 2.223×10^(6)exp(-132.1/RT)t^(n)and 1.125×10^(7)exp(-153.5/RT)t^(n),respectively.Time exponential functions were established,which was 0.0775+0.2317/[1+10^((1326.73-T)×0.0235)]and 0.0365+0.2109/[1+10^((1339.27-T)×0.0051)],respectively.The grain size prediction model considering solid solution elements was optimized by the time exponential function,and the prediction effect of the model was better at high temperature.
作者 王宇雁 杨少朋 张军 崔磊 WANG Yuyan;YANG Shaopeng;ZHANG Jun;CUI Lei(Technology Center,Ma′anshan Iron and Steel Co.,Ltd.,Ma′anshan 243000,Anhui,China;National and Local Joint Engineering Research Center for Nanohybrid Materials Application Technology,Henan University,Kaifeng 475004,Henan,China;Ningbo Precision Machinery Manufacturing Co.,Ltd.,Ningbo 315099,Zhejiang,China)
出处 《热处理技术与装备》 2025年第2期62-69,共8页 Heat Treatment Technology and Equipment
关键词 奥氏体晶粒 Arrhenius模型 时间指数 晶粒长大 austenite grain Arrhenius model time index grain growth
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