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Macro-mesoscale microstructural evolution modeling under hot forging of a Ti-17 alloy with a lamellar (α+β) starting microstructure

机译:宏观介质微观结构演化建模在钢筋(α+β)开始微观结构的Ti-17合金下

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摘要

Microstructural conversion mechanisms under hot forging process (at temperatures ranging from 750 °C to 1050 °C and strain rates ranging from 10–3 s–1 to 1 s–1) of a Ti-5Al-2Sn-2Zr-4Mo-4Cr (Ti-17) alloy with a lamellar starting microstructure were experimentally identified in this work. After that, constitutive formulae for predicting the microstructural evolution were established followed by calculation using finite-element (FEM) analysis. In the α phase, a lamellae kinking is the dominant mode in the higher strain rate region and dynamic globularization frequently occurs at higher temperatures. On the other hand, continuous dynamic recrystallization is the dominant mode below the transition temperature, Tβ (880~890 °C) in the β phase. And, at conditions of lower strain rates and higher temperatures, dynamic recovery tends to be more active. For microstructural prediction, a set of constitutive equations modeling the microstructural evolution and forging properties are established by optimizing the experimental data followed by implementation in the DEFORM-3D software package. Herein, microstructural evolution on dynamic globularization process, dynamic recrystallization behavior are predicted according to both approaches of physical model and artificial neural network model followed by FEM simulation. In these calculated results, there is a satisfactory agreement between the experimental and simulated results, indicating that the established series of constitutive models can be used to reliably predict the properties of a Ti-17 alloy after forging.
机译:下热锻工艺微结构转换机构(在温度范围从750℃至1050℃和应变速率范围从10-3 S-1至1个S-1)一个Ti- 5Al金属-2SN-2ZR-4Mo-4CR的(具有层状起始微结构的Ti-17)合金在此工作进行了实验鉴定。在此之后,建立用于预测组织演变组成式,然后使用有限元(FEM)分析计算。在α相,薄片扭结是在更高的应变率区域和动态球化的主导模式频繁地发生在较高温度下。在另一方面,连续动态再结晶是在β相的主导模式低于转变温度,Tβ(880〜890℃)。并且,在较低的应变速率和较高的温度的条件下,动态恢复更趋于活跃。对于微结构预测,一组本构方程建模组织演变和锻造性质被优化实验数据随后在DEFORM-3D软件包执行建立。在此,动态球化过程中,动态再结晶行为组织演变是根据两个预测的物理模型和人工神经网络模型,随后有限元模拟方法。在这些计算结果中,在实验和模拟结果之间令人满意的协议,指示已建立的一系列构模型的可用于锻造后可靠地预测由Ti-17合金的特性。

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