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Superplastic forming of Ti-4Al-3Mo-1V alloy: flow behavior modelling and finite element simulation

机译:Ti-4AL-3MO-1V合金的超塑性成型:流动性能建模和有限元模拟

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Superplastic forming process of Ti-4Al-3Mo-1V alloy was optimized via an integrated approach. Material characterization, flow behavior modelling, finite element simulation (FES), and superplastic forming (SPF) were the steps of the study. The as-processed sheets were characterized via uniaxial constant strain rate tests at 750-900 °C and 1×10-4-1×10-2s-1, which considered the superplasticity ranges of this alloy. The flow behavior was modelled using hyperbolic sine law constitutive equation (CE) and the artificial neural network (ANN). The constructed models were assessed via the cross-validation technique, which declare better predictability of the CE model comparing to the ANN model. The stress-strain data was used to adjust the mechanical properties of studied alloy inside the FES program, DEFORM 2D/3D. In this step the optimized pressure-time dependence was computed for SPF. The FES results were verified by experimental SPF via lab machine. The Ti-4Al-3Mo-1V alloy was successfully formed by superplastic forming technique using the proposed integrated approach.
机译:通过综合方法优化Ti-4AL-3MO-1V合金的超塑性成形过程。材料表征,流动行为建模,有限元模拟(FES)和超塑性成型(SPF)是研究的步骤。通过单轴恒定应变速率试验在750-900℃和1×10-4-1×10-2S-1中表征,其特征在于,其考虑了该合金的超塑性范围。使用双曲正弦法结构剖面方程(CE)和人工神经网络(ANN)进行模拟流动行为。通过交叉验证技术评估构建模型,该技术宣告了与ANN模型相比的CE模型的更好可预测性。应力 - 应变数据用于调节FES程序内研究合金的机械性能,使2D / 3D变形。在该步骤中,为SPF计算了优化的压力时间依赖性。通过实验室机器通过实验SPF验证FES结果。通过使用所提出的综合方法,通过超塑性成型技术成功形成Ti-4AL-3MO-1V合金。

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