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    曹飞, 彭文飞, 沈法, 余文静, 束学道. 高铁螺纹道钉用TD16钢的动态再结晶行为[J]. 机械工程材料, 2017, 41(10): 91-97. DOI: 10.11973/jxgccl201710020
    引用本文: 曹飞, 彭文飞, 沈法, 余文静, 束学道. 高铁螺纹道钉用TD16钢的动态再结晶行为[J]. 机械工程材料, 2017, 41(10): 91-97. DOI: 10.11973/jxgccl201710020
    CAO Fei, PENG Wenfei, SHEN Fa, YU Wenjing, SHU Xuedao. Dynamic Recrystallization Behavior of TD16 Steel for High-speed Railway Screw Spike[J]. Materials and Mechanical Engineering, 2017, 41(10): 91-97. DOI: 10.11973/jxgccl201710020
    Citation: CAO Fei, PENG Wenfei, SHEN Fa, YU Wenjing, SHU Xuedao. Dynamic Recrystallization Behavior of TD16 Steel for High-speed Railway Screw Spike[J]. Materials and Mechanical Engineering, 2017, 41(10): 91-97. DOI: 10.11973/jxgccl201710020

    高铁螺纹道钉用TD16钢的动态再结晶行为

    Dynamic Recrystallization Behavior of TD16 Steel for High-speed Railway Screw Spike

    • 摘要: 在变形温度为850~1 150℃、应变速率为0.01~10 s-1下,利用Gleeble-3500型热模拟试验机对高铁螺纹道钉用TD16钢进行了高温压缩试验,研究了其动态再结晶行为,建立了动态再结晶模型并进行了试验验证。结果表明:TD16钢在试验条件下变形过程中存在动态再结晶行为,温度越低、应变速率越大,动态再结晶越不容易发生,动态再结晶晶粒越细;由动态再结晶模型预测得到的峰值应变/临界应变,ε0.5,晶粒尺寸与试验值的最大相对误差分别为7.08%,11.06%,21.3%,均吻合较好,建立的动态再结晶模型可用于预测TD16钢的动态再结晶行为。

       

      Abstract: High-temperature compression experiments at deformation temperatures of 850-1 150℃ and strain rates of 0.01-10 s-1 were conducted on TD16 steel for high-speed railway screw spike using a Gleeble-3500 thermal simulation testing machine, and the dynamic recrystallization behavior was studied. The dynamic recrystallization models were established and verified by experiments. The results show that under the experimental conditions, the dynamic recrystallization behavior was observed in the TD16 steel. The dynamic recrystallization hardly occurred and the dynamic recrystallization grains became finer when the deformation temperature rose or the strain rate decreased. The maximum relative errors between the prediction values obtained by the dynamic recrystallization models and tested values of peak and critical strains, ε0.5, and grain size were 7.08%, 11.06%, 21.3%, respectively. The predicted values were all in good agreement with the experimental values, showing that the dynamic recrystallization models can be used to predict the dynamic recrystallization behavior of TD16 steel.

       

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