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首页> 外文期刊>Journal of Materials Engineering and Performance >Hot Deformation Behavior and Flow Stress Prediction of TC4-DT Alloy in Single-Phase Region and Dual-Phase Regions
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Hot Deformation Behavior and Flow Stress Prediction of TC4-DT Alloy in Single-Phase Region and Dual-Phase Regions

机译：TC4-DT合金在单相和双相区的热变形行为和流变应力预测

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摘要

Isothermal compression tests of TC4-DT titanium alloy at the deformation temperature ranging from 1181 to 1341 K covering alpha + beta phase field and beta-phase field, the strain rate ranging from 0.01 to 10.0 s(-1) and the height reduction of 70% were conducted on a Gleeble-3500 thermo-mechanical simulator. The experimental true stress-true strain data were employed to develop the strain-compensated Arrhenius-type flow stress model and artificial neural network (ANN) model; the predictability of two models was quantified in terms of correlation coefficient (R) and average absolute relative error (AARE). The R and AARE for the Arrhenius-type flow stress model were 0.9952 and 5.78%, which were poorer linear relation and more deviation than 0.9997 and 1.04% for the feed-forward back-propagation ANN model, respectively. The results indicated that the trained ANN model was more efficient and accurate in predicting the flow behavior for TC4-DT titanium alloy at elevated temperature deformation than the strain-compensated Arrhenius-type constitutive equations. The constitutive relationship compensating strain could track the experimental data across the whole hot working domain other than that at high strain rates (>= 1 s(-1)). The microstructure analysis illustrated that the deformation mechanisms existed at low strain rates (<= 0.1 s(-1)), where dynamic recrystallization occurred, were far different from that at high strain rates (>= 1 s(-1)) that presented bands of flow localization and cracking along grain boundary.
机译：TC4-DT钛合金的等温压缩试验，其变形温度范围为1181至1341 K，涵盖α+β相场和β相场，应变率范围为0.01至10.0 s（-1），高度降低70 ％在Gleeble-3500热机械模拟器上进行。利用实验真实应力-真实应变数据建立应变补偿的Arrhenius型流应力模型和人工神经网络模型。根据相关系数（R）和平均绝对相对误差（AARE）量化了两个模型的可预测性。 Arrhenius型流应力模型的R和AARE分别比前馈反向传播ANN模型的线性关系更差和偏差更大，分别为0.9952和1.04％。结果表明，与应变补偿的Arrhenius型本构方程相比，训练后的ANN模型在预测TC4-DT钛合金在高温变形时的流动行为更有效，更准确。本构关系补偿应变可以跟踪整个热工作域中的实验数据，而不是在高应变率时（> = 1 s（-1））。显微组织分析表明，变形机制存在于低应变速率（<= 0.1 s（-1））下，发生动态再结晶，与高应变速率（> = 1 s（-1））下的变形机制存在很大差异。沿晶界的流动局部化和开裂带。

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