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Effect of Microstructures on the Mechanical Behavior of Fire-Resistant Dual-Phase Steels at Elevated Temperature
Steel Research International ( IF 1.9 ) Pub Date : 2021-03-25 , DOI: 10.1002/srin.202100006 Jinghua Cong 1 , Xiucheng Li 1 , Jingxiao Zhao 1 , Pengcheng Liu 1 , Jiajie Fan 2 , Raja Devesh Kumar Misra 3 , Xuemin Wang 1
Steel Research International ( IF 1.9 ) Pub Date : 2021-03-25 , DOI: 10.1002/srin.202100006 Jinghua Cong 1 , Xiucheng Li 1 , Jingxiao Zhao 1 , Pengcheng Liu 1 , Jiajie Fan 2 , Raja Devesh Kumar Misra 3 , Xuemin Wang 1
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Herein, the start laminar cooling temperature to obtain different volume fractions of ferrite and bainite/martensite is optimized. Lower start laminar cooling temperature yields a higher volume fraction of ferrite and also decreases the transformation temperature of bainite/martensite. The yield strength of the experimental dual-phase steel at 600 °C increases from ≈484.8 to ≈526.2 MPa by decreasing the start laminar cooling temperature from 650 to 600 °C. To understand the effect of microstructure, the dislocation density, volume fraction of precipitates, and Young's modulus at elevated temperature are statistically analyzed. A machine learning method, known as gradient boosting decision tree, is used to classify the grain boundaries. The statistical results suggest that the steel subject to lower start laminar cooling temperature shows higher Young's modulus and larger volume fraction of precipitates at elevated temperature. Furthermore, at elevated temperature, the boundary is stable and the proportion of Σ3 boundary is greater, when lower start laminar cooling temperature is adopted. Theoretical calculations results suggest that the lower transformation temperature of bainite/martensite improves the fire resistance of dual-phase steels.
中文翻译：
高温下显微组织对耐火双相钢机械性能的影响
在此，优化了获得不同体积分数的铁素体和贝氏体/马氏体的开始层流冷却温度。较低的层流冷却开始温度会产生较高的铁素体体积分数，同时也会降低贝氏体/马氏体的转变温度。通过将起始层流冷却温度从 650°C 降低到 600°C，实验双相钢在 600°C 时的屈服强度从 ≈484.8 MPa 增加到 ≈526.2 MPa。为了了解微观结构的影响，对高温下的位错密度、析出物的体积分数和杨氏模量进行了统计分析。机器学习方法，称为梯度提升决策树，用于对晶界进行分类。统计结果表明，开始层流冷却温度较低的钢在高温下表现出较高的杨氏模量和较大的析出物体积分数。此外，在升高的温度下，当采用较低的起始层流冷却温度时，边界是稳定的，并且∑3边界的比例更大。理论计算结果表明，贝氏体/马氏体相变温度较低，提高了双相钢的耐火性。
更新日期：2021-03-25
中文翻译：
高温下显微组织对耐火双相钢机械性能的影响
在此，优化了获得不同体积分数的铁素体和贝氏体/马氏体的开始层流冷却温度。较低的层流冷却开始温度会产生较高的铁素体体积分数，同时也会降低贝氏体/马氏体的转变温度。通过将起始层流冷却温度从 650°C 降低到 600°C，实验双相钢在 600°C 时的屈服强度从 ≈484.8 MPa 增加到 ≈526.2 MPa。为了了解微观结构的影响，对高温下的位错密度、析出物的体积分数和杨氏模量进行了统计分析。机器学习方法，称为梯度提升决策树，用于对晶界进行分类。统计结果表明，开始层流冷却温度较低的钢在高温下表现出较高的杨氏模量和较大的析出物体积分数。此外，在升高的温度下，当采用较低的起始层流冷却温度时，边界是稳定的，并且∑3边界的比例更大。理论计算结果表明，贝氏体/马氏体相变温度较低，提高了双相钢的耐火性。
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