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    张颖, 孙小巍, 宁安刚, 罗志勇. Q460GJD钢在多向锻造后热处理过程中的奥氏体晶粒长大行为[J]. 机械工程材料, 2022, 46(10): 44-48,55. DOI: 10.11973/jxgccl202210008
    引用本文: 张颖, 孙小巍, 宁安刚, 罗志勇. Q460GJD钢在多向锻造后热处理过程中的奥氏体晶粒长大行为[J]. 机械工程材料, 2022, 46(10): 44-48,55. DOI: 10.11973/jxgccl202210008
    ZHANG Ying, SUN Xiaowei, NING Angang, LUO Zhiyong. Austenite Grain Growth Behavior of Q460GJD Steel During Heat Treatmentafter Multidirectional Forging[J]. Materials and Mechanical Engineering, 2022, 46(10): 44-48,55. DOI: 10.11973/jxgccl202210008
    Citation: ZHANG Ying, SUN Xiaowei, NING Angang, LUO Zhiyong. Austenite Grain Growth Behavior of Q460GJD Steel During Heat Treatmentafter Multidirectional Forging[J]. Materials and Mechanical Engineering, 2022, 46(10): 44-48,55. DOI: 10.11973/jxgccl202210008

    Q460GJD钢在多向锻造后热处理过程中的奥氏体晶粒长大行为

    Austenite Grain Growth Behavior of Q460GJD Steel During Heat Treatmentafter Multidirectional Forging

    • 摘要: 对均匀化处理后的建筑用Q460GJD钢铸锭进行多向锻造和热处理,研究了多向锻造后的加热温度(950~1 250℃)和保温时间(0.5~8 h)对奥氏体晶粒长大行为的影响,基于Sellars模型,对试验数据拟合后建立了奥氏体晶粒长大模型。结果表明:铸态Q460GJD钢中的奥氏体晶粒尺寸差异较大,出现混晶现象,多向锻造后晶粒明显细化,混晶现象消除;随着热处理加热温度的升高或保温时间的延长,奥氏体平均晶粒尺寸增大,且加热温度对晶粒尺寸的影响大于保温时间;采用建立的奥氏体晶粒长大模型计算得到的平均晶粒尺寸与试验值相吻合,相对误差小于5%,表明该模型具有一定的可靠性。

       

      Abstract: The homogenized Q460GJD steel ingot for construction was multidirectionally forged and heat treated, and the effects of heating temperature (950-1 250℃) and holding time (0.5-8 h) on the austenite grain growth behavior after multidirectional forging were studied. Based on Sellars model, the austenite grain growth model was established after fitting the test data. The results show that the austenite grain size difference in as-cast Q460GJD steel was relatively large, and the mixed grains appeared. After multidirectional forging, the grain was obviously refined, and the mixed grains were eliminated. The average grain size of austenite increased with heating temperature or holding time, and the effect of heating temperature on the grain size was greater than that of holding time. The average grain size calculated by the established austenite grain growth model was in good agreement with the test value, and the relative error was less than 5%, indicating that the model had a certain reliability.

       

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