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首页> 外文期刊>Materials Science and Technology: MST: A publication of the Institute of Metals >Three-dimensional simulation of quenching process of plain carbon steel gears incorporating phase transformations
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Three-dimensional simulation of quenching process of plain carbon steel gears incorporating phase transformations

机译:含相变的碳素钢齿轮淬火过程的三维模拟

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In the present work, a numerical model was developed for the simulation of the quenching process of plain carbon steel gears in water and oil using finite element method. For diffusional transformations, the Johnson-Mehl-Avrami equation was coupled with the additivity rule, while for non-diffusional transformation, the empirical model of Koistinen-Marburger was employed. In addition, the model of Maynier et al. was used to compute the hardness distribution throughout the parts. To evaluate the cooling power of quenching media, the heat transfer coefficients of quenching media were calculated by solving an inverse problem using a stainless steel probe. In addition, a novel approach was applied for computing the actual phase fractions in the multiphase steel. The effects of the latent heat releases during phase transformations along with the effect of temperature and phase fractions on the variation of thermophysical properties were considered. Experimental tests including cooling curve analysis, metallographic investigations and hardness measurements were performed to evaluate the validity of the model. The comparisons indicated that the simulation results were consistent with the experimental results. The multiphase transformation model presented here is capable to predict the distribution of temperature, microstructures and hardness during continuous cooling of steel.
机译:在本工作中,使用有限元方法建立了一个数值模型,用于模拟水和油中普通碳钢齿轮的淬火过程。对于扩散变换,将Johnson-Mehl-Avrami方程与可加性规则耦合,而对于非扩散变换,则使用Koistinen-Marburger的经验模型。此外,Maynier等人的模型。用于计算整个零件的硬度分布。为了评估淬火介质的冷却能力,通过使用不锈钢探针解决反问题来计算淬火介质的传热系数。另外,一种新颖的方法被应用于计算多相钢中的实际相分数。考虑了相变过程中潜热释放的影响以及温度和相分数对热物理性质变化的影响。进行了包括冷却曲线分析,金相研究和硬度测量在内的实验测试,以评估模型的有效性。比较表明,仿真结果与实验结果一致。此处介绍的多相转变模型能够预测钢在连续冷却过程中的温度,微观结构和硬度的分布。

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