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

作　　者：王宇雁 杨少朋 张军[1] 崔磊[1] 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)

机构地区：[1]马鞍山钢铁股份有限公司技术中心,安徽马鞍山243000 [2]河南大学纳米杂化材料应用技术国家地方联合工程研究中心,河南开封475004 [3]宁波宁兴精密机械集团有限公司,浙江宁波315099

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

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.

关 键 词：奥氏体晶粒 Arrhenius模型 时间指数 晶粒长大 

分 类 号：TG142.1[一般工业技术—材料科学与工程]