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首页> 外文期刊>Revue de Metallurgie: Cahiers d'Informations Techniques >Prediction model for the austenite grain growth in medium carbon alloy steel 42CrMo
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Prediction model for the austenite grain growth in medium carbon alloy steel 42CrMo

机译:42CrMo中碳合金钢中奥氏体晶粒长大的预测模型

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摘要

A model for predicting the austenite grain growth during a common heating process including continuous and isothermal heating processes in medium carbon alloy steel 42CrMo was developed. The isothermal austenite grain growth kinetics were studied with conditions involving soaking time and soaking temperature. The time exponent n in the model was obtained considering the influence of the initial grain size rather than simply utilizing Beck's equation. The results showed that the value of the time exponent n is 3.55 ± 0.30 when the temperature is above 1000 °C, while the value is 8.33 when the temperature is below 1000 °C. When the temperature is below 1000 °C, the pinning effect of carbides contributes to the higher value of the time exponent. Based on the isothermal model and the rule of additivity, a model for predicting the grain growth occurring during continuous heating was proposed. A reasonable agreement between the calculations and experimental measurements of grain size was obtained. According to the model, the effect of the initial austenite grain size on the final austenite grain size during induction quenching was analyzed. The initial austenite grain size has a significant effect on the final austenite grain size. In order to obtain a refined quenched microstructure, it is necessary to refine the microstructure at room temperature.
机译:建立了预测中碳合金钢42CrMo包括连续加热和等温加热过程中奥氏体晶粒长大的模型。在涉及均热时间和均热温度的条件下研究了等温奥氏体晶粒长大动力学。考虑到初始晶粒尺寸的影响,而不是简单地利用贝克方程来获得模型中的时间指数n。结果表明,当温度高于1000°C时,时间指数n的值为3.55±0.30,而当温度低于1000°C时,时间指数n的值为8.33。当温度低于1000°C时,碳化物的钉扎效应有助于提高时间指数。基于等温模型和加和规则,提出了一种预测连续加热过程中晶粒长大的模型。在晶粒尺寸的计算和实验测量之间获得了合理的一致性。根据该模型,分析了感应淬火期间初始奥氏体晶粒尺寸对最终奥氏体晶粒尺寸的影响。初始奥氏体晶粒尺寸对最终奥氏体晶粒尺寸具有重大影响。为了获得精制的淬火微结构,必须在室温下精制微结构。

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