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金属学报  2026, Vol. 62 Issue (8): 1427-1442    DOI: 10.11900/0412.1961.2025.00157
  研究论文 本期目录 | 过刊浏览 |
Ti551合金的热变形行为及热加工图构建
尹建年1, 马英杰2, 杨锐2, 雷家峰2, 齐敏2(), 周丽1()
1 烟台大学 机电汽车工程学院 烟台 264005
2 中国科学院金属研究所 沈阳材料科学国家研究中心 沈阳 110016
Hot Deformation Behavior and Hot Processing Map Construction of the Ti551 Alloy
YIN Jiannian1, MA Yingjie2, YANG Rui2, LEI Jiafeng2, QI Min2(), ZHOU Li1()
1 School of Electromechanical and Vehicle Engineering, Yantai University, Yantai 264005, China
2 Shenyang National Laboratory for Materials Science, Institute of Metal Research, Chinese Academy of Sciences, Shenyang 110016, China
引用本文:

尹建年, 马英杰, 杨锐, 雷家峰, 齐敏, 周丽. Ti551合金的热变形行为及热加工图构建[J]. 金属学报, 2026, 62(8): 1427-1442.
Jiannian YIN, Yingjie MA, Rui YANG, Jiafeng LEI, Min QI, Li ZHOU. Hot Deformation Behavior and Hot Processing Map Construction of the Ti551 Alloy[J]. Acta Metall Sin, 2026, 62(8): 1427-1442.

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摘要: 

Ti551合金的热变形行为及其微观组织演变高度复杂,为拓展该合金的工程应用,需确定其热加工工艺窗口。本工作利用Gleeble-3500热模拟试验机在变形温度(T)为800~1100 ℃、应变速率(ε˙)为0.001~10 s-1条件下对Ti551合金进行热压缩实验,研究其热变形行为,构建热加工图并确定热加工窗口。在摩擦修正和温度修正的基础上,采用应变补偿Arrhenius (SCA)模型和反向传播人工神经网络(BPANN)模型建立了Ti551合金的本构关系,并通过统计分析对模型精度进行评估,发现BPANN模型在预测数据上表现出良好的拟合能力。基于动态材料模型建立Ti551合金的热加工图,确定其最佳加工区域为:ε˙ = 0.001~0.1 s-1T = 900~1050 ℃。失稳区主要集中在高温高应变速率区域(T ≥ 1000 ℃、ε˙ ≥ 1 s-1)。变形温度和应变速率对应力影响显著,随着温度下降或应变速率增加,流变应力明显增加,体现了典型的热激活变形特征。微观组织分析表明,Ti551合金在热压缩过程中的组织演化与应变、温度和应变速率密切相关,应变越大,晶粒变形越显著,随温度的降低或应变速率的增大,动态再结晶晶粒尺寸明显细化。此外,Ti551合金热变形过程中的主要动态再结晶机制为连续动态再结晶和不连续动态再结晶。

关键词 Ti551合金热变形行为本构方程热加工图微观组织    
Abstract

The Ti551 alloy exhibits exceptional thermal stability, retaining over 80% of its room-temperature strength within 300-400 oC, outperforming most α-type Ti alloys. Consequently, it has emerged as the primary structural material for applications in extreme operating environments, such as deep-sea oil drilling pipes. Despite this advantage, the Ti551 alloy exhibits considerably complex thermal deformation behavior and microstructural evolution. Establishing the alloy's precise hot processing window is critical to broaden its engineering applications. Therefore, this study investigated the thermal deformation behavior of the Ti551 alloy using a Gleeble-3500 thermal simulation tester. Specifically, isothermal compression tests were conducted over the temperatures (T) of 800-1100 oC and a strain rate (ε˙) of 0.001-10 s-1. Considering friction and temperature corrections, strain-compensated Arrhenius (SCA) and back-propagation artificial neural network (BPANN) models were selected to establish a constitutive model of the Ti551 alloy. The accuracies of both models were evaluated using the correlation coefficient, average absolute relative error, and relative error. The results demonstrate that the BPANN model outperformed the SCA model, yielding superior accuracy in predicting the flow stress. Thereafter, a hot processing map was constructed based on the dynamic materials model, and the corresponding microstructural evolution during thermal compression was systematically analyzed. Analysis of the hot processing map identified the optimal processing window with the following parameters: ε˙ = 0.001-0.1 s-1 and T = 900-1050 oC. Additionally, the instability zone was primarily concentrated in the high-T, high-ε˙ region (T ≥ 1000 °C, ε˙ ≥ 1 s-1). These findings demonstrate that the deformation T and ε˙ substantially influenced the flow stress. Specifically, the flow stress markedly increased with the decrease in T or increase in ε˙. During hot compression, the microstructural evolution of the Ti551 alloy exhibited a close relationship with T and ε˙, and the dynamic recrystallized grain size notably decreased as T decreased or ε˙ increased. Furthermore, the dominant dynamic recrystallization (DRX) mechanisms during hot deformation comprised continuous and discontinuous DRX processes.

Key wordsTi551 alloy    hot deformation behavior    constitutive equation    hot processing map    microstructure
收稿日期: 2025-06-06     
ZTFLH:  TG146.23  
基金资助:国家重点研发计划项目(2024YFB3714201);山东省自然科学基金项目(ZR2023ME097)
通讯作者: 齐 敏,mqi17s@imr.ac.cn,主要从事结构钛合金研究; 周 丽,lizhou@ytu.edu.cn,主要从事复合材料成形加工研究
Corresponding author: QI Min, Tel: 18742418386, E-mail: mqi17s@imr.ac.cn; ZHOU Li, professor, Tel: 13889124507, E-mail: lizhou@ytu.edu.cn
作者简介: 尹建年,男,2001年生,硕士生
图1  热压缩实验示意图
图2  Ti551合金初始微观组织的SEM像和EBSD结果
图3  Ti551合金在不同热压缩条件下真应力-应变曲线及经摩擦修正、温度修正后的真应力-应变曲线
图4  Ti551合金在不同热压缩条件下的温度变化
图5  lnε˙-lnσ、lnε˙-σ、lnε˙-ln[sinh(ασ)]、ln[sinh(ασ)]-T-1和lnZ-ln[sinh(ασ)]的拟合曲线
εQ / (J·mol-1)lnAnα / MPa-1
0.10155144.7412.06712.87800.01426
0.15151640.3711.81662.93790.01389
0.20145891.0411.41702.95330.01375
0.25143261.6311.04922.96860.01374
0.30140042.8510.73652.97040.01373
0.35138616.4310.66232.99570.01372
0.40135233.8810.32182.99920.01371
0.45132736.4510.09403.03690.01372
0.50129037.869.71583.07270.01375
0.55125617.229.38483.09670.01374
0.60121303.178.96103.12850.01372
0.65119952.938.85743.18010.01364
表1  不同真应变时的材料常数
图6  材料常数与真应变的关系曲线
图7  反向传播人工神经网络(BPANN)模型结构图
图8  隐藏层中的神经元数量对均方误差(MSE)的影响
图9  不同热压缩条件下流变应力预测值与实验值对比
图10  应变补偿Arrhenius (SCA)模型和BPANN模型中流变应力预测值与实验值的比较及相对误差分布
图11  Ti551合金的热压缩有限元模型和上模的载荷-行程曲线
图12  不同真应变下Ti551合金的功率耗散图
图13  Ti551合金在不同真应变下的失稳图
图14  Ti551合金在不同真应变下的热加工图
图15  Ti551合金在真应变为0.69时不同热压缩条件下微观组织的OM像(a) 900 oC, 0.01 s-1 (b)1000 oC, 0.01 s-1(c)1100 oC, 0.01 s-1 (d) 1100 oC, 1 s-1 (e) 1100 oC, 10 s-1
图16  Ti551合金在应变为0.69时不同热压缩条件下的反极图(a) 900 oC, 0.01 s-1 (b)1000 oC, 0.01 s-1(c)1100 oC, 0.01 s-1 (d) 1100 oC, 1 s-1 (e) 1100 oC, 10 s-1
图17  Ti551合金在应变为0.69时不同热压缩条件下的局部取向差(KAM)分布图(a) 900 oC, 0.01 s-1 (b)1000 oC, 0.01 s-1(c)1100 oC, 0.01 s-1 (d) 1100 oC, 1 s-1 (e) 1100 oC, 10 s-1
图18  Ti551合金在1000 ℃、1 s-1变形条件下的应变场分布和不同区域微观组织的OM像
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