Li Tianrui, Liu Guohuai, Xu Mang, Wang Bingxing, Fu Tianlian, Wang Zhaodong, Misra Raja Devesh Kumar
State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang 110819, China.
Laboratory for Excellence in Advanced Steel Research, Department of Metallurgical, Materials and Biomedical Engineering, University of Texas, El Paso, TX 79968-0521, USA.
Materials (Basel). 2018 Oct 19;11(10):2044. doi: 10.3390/ma11102044.
To elucidate the hot deformation characteristics of TiAl alloys, flow stress prediction, microstructural evolution and deformation mechanisms were investigated in Ti-44Al-5Nb-1Mo-2V-0.2B alloy by isothermal compression tests. A constitutive relationship using the Arrhenius model involving strain compensation and back propagation artificial neural network (BP-ANN) model were developed. A comparison of two models suggested that the BP-ANN model had excellent capabilities and was more accurate in predicting flow stress. Based on the microstructural analysis, bending and elongation of colonies, γ and B2 grains were the main microstructural constituents at low temperature and high strain rate. Dynamic recrystallization (DRX) of γ and dynamic recovery (DRY) of β/B2 were the main deformation mechanisms. With the increase of temperature and decrease of strain rate, phase transformation played an important role. The flake-like γ precipitates in B2 grains, and a coarsening of γ lamellae via α lath dissolution during compression were observed. Additionally, the flow softening process commenced with dislocation pile-up and formation of sub-grain boundaries, followed by grain refinement, twins and nano-lamellar nucleation. Continuous DRX and phase transformation promoted the formability of Ti-44Al-5Nb-1Mo-2V-0.2B alloy.
为阐明TiAl合金的热变形特性,通过等温压缩试验研究了Ti-44Al-5Nb-1Mo-2V-0.2B合金的流变应力预测、微观组织演变及变形机制。建立了基于包含应变补偿的Arrhenius模型和反向传播人工神经网络(BP-ANN)模型的本构关系。两种模型的比较表明,BP-ANN模型具有出色的能力,在预测流变应力方面更准确。基于微观组织分析,在低温和高应变速率下,晶团、γ和B2晶粒的弯曲和伸长是主要的微观组织特征。γ的动态再结晶(DRX)和β/B2的动态回复(DRY)是主要的变形机制。随着温度升高和应变速率降低,相变起重要作用。观察到B2晶粒中片状γ析出物,以及压缩过程中通过α板条溶解使γ片层粗化。此外,流变软化过程始于位错堆积和亚晶界形成,随后是晶粒细化、孪晶和纳米片层形核。连续的DRX和相变促进了Ti-44Al-5Nb-1Mo-2V-0.2B合金的可加工性。