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Prediction on microstructure and mechanical properties of hot forged Ni-based super alloy by optimization using genetic algorithms

机译：遗传算法优化预测热锻Ni基超级合金的组织和力学性能

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Recently, it has been more important to realize higher combustion temperature of a gas turbine for air crafts. In order to attain that, it is necessary the material gets an excellent mechanical property like tensile strength. The grain size of the material has a large influence on the mechanical property. Therefore it is imperative to predict recrystallization behavior under hot forging and heat treatment for controlling the grain size. In this study, we focused on Alloy 718 of Ni-based superalloy and developed a prediction model for the fractions of dynamic recrystallization and the grain size under hot forging. The calculated results are good agreements with experimental results of the fractions of dynamic recrystallization and grain size.
机译：近来，实现用于飞行器的燃气轮机的更高燃烧温度已经变得更加重要。为了达到此目的，该材料必须具有优异的机械性能，如拉伸强度。材料的晶粒尺寸对机械性能有很大的影响。因此，必须预测在热锻和热处理下的再结晶行为以控制晶粒尺寸。在这项研究中，我们重点研究了镍基高温合金718合金，并为动态重结晶的分数和热锻造下的晶粒尺寸建立了预测模型。计算结果与动态再结晶分数和晶粒尺寸的实验结果吻合良好。

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