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Particle-Size-Grouping Model of Precipitation Kinetics in Microalloyed Steels

机译:微合金钢中沉淀动力学的粒度分组模型

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摘要

The formation, growth, and size distribution of precipitates greatly affects the microstructure and properties of microalloyed steels. Computational particle-size-grouping (PSG) kinetic models based on population balances are developed to simulate precipitate particle growth resulting from collision and diffusion mechanisms. First, the generalized PSG method for collision is explained clearly and verified. Then, a new PSG method is proposed to model diffusion-controlled precipitate nucleation, growth, and coarsening with complete mass conservation and no fitting parameters. Compared with the original population-balance models, this PSG method saves significant computation and preserves enough accuracy to model a realistic range of particle sizes. Finally, the new PSG method is combined with an equilibrium phase fraction model for plain carbon steels and is applied to simulate the precipitated fraction of aluminum nitride and the size distribution of niobium carbide during isothermal aging processes. Good matches are found with experimental measurements, suggesting that the new PSG method offers a promising framework for the future development of realistic models of precipitation.
机译:析出物的形成,生长和尺寸分布极大地影响了微合金钢的组织和性能。建立了基于种群平衡的计算粒度分组(PSG)动力学模型,以模拟由碰撞和扩散机制导致的沉淀物颗粒生长。首先,对通用的碰撞PSG方法进行了清晰的解释和验证。然后,提出了一种新的PSG方法,该方法可以模拟扩散控制的沉淀物成核,生长和粗化,并且具有完全的质量守恒且没有拟合参数。与原始的人口平衡模型相比,此PSG方法节省了大量计算,并保留了足够的精度来对实际粒径范围进行建模。最后,将新的PSG方法与普通碳钢的平衡相分数模型相结合,并用于模拟等温时效过程中氮化铝的沉淀分数和碳化铌的尺寸分布。实验测量结果发现匹配良好,这表明新的PSG方法为未来的现实降水模型开发提供了有希望的框架。

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