刘斌,武川,周宇杰.Ti6554钛合金脉冲电流辅助压缩本构模型的建立及应用[J].精密成形工程,2022,14(5):27-35.
LIU Bin,WU Chuan,ZHOU Yu-jie.Establishment and Application of Ti6554 Titanium Alloy Pulse Current Assisted Compression Constitutive Model[J].Journal of Netshape Forming Engineering,2022,14(5):27-35. |
| Ti6554钛合金脉冲电流辅助压缩本构模型的建立及应用 |
| Establishment and Application of Ti6554 Titanium Alloy Pulse Current Assisted Compression Constitutive Model |
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| DOI：10.3969/j.issn.1674-6457.2022.05.005 |
| 中文关键词: 电致塑性 Ti6554 本构方程 脉冲电流 |
| 英文关键词: electro-plasticity Ti6554 constitutive equation pulse current |
| 基金项目:国家自然科学基金面上项目(52075386);中国博士后科学基金面上项目(2020M672309);天津市教委科研项目(2020KJ107) |
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| 中文摘要: |
| 目的 基于电辅助压缩试验，建立Ti6554钛合金的电辅助压缩本构模型，并对本构模型进行验证。方法 针对Ti6554钛合金材料，在一定脉冲电流参数(电流密度为40、32、24 A/mm2，频率为1、5、10 Hz，占空比为0.7、0.5、0.3)以及应变速率为0.002、0.005、0.01 s−1、下压量为50%的条件下，进行电辅助压缩试验，并基于唯象和物理机制，建立电辅助压缩的本构模型，采用回归拟合的方法确定本构模型参数，得到具体方程，并基于电辅助压缩试验的应力–应变曲线，分析脉冲电流参数对应力–应变的影响规律。结果 将电辅助压缩试验测得的试验值与本构模型得到的预测值进行相对误差分析，得到最大相对误差小于7%。结论 采用回归拟合的方法建立的本构模型相对误差较小，能够准确预测材料在不同脉冲电流参数下的流动应力。 |
| 英文摘要: |
| This paper is to establish the electro-assisted compression constitutive model of Ti6554 titanium alloy and verify the constitutive model based on the electro-assisted compression experiment. For Ti6554 titanium alloy material, under certain pulse current parameters (current density is 40, 32, 24 A/mm2, frequency is 1, 5, 10 Hz, duty cycle is 0.7, 0.5, 0.3) and strain rate is 0.002, 0.005, 0.01 s−1 and the depression amount is 50%, the electro-assisted compression experiment is carried out, and the constitutive model of electro-assisted compression is established based on the phenomenological and physical mechanisms. The constitutive model parameters are fitted with experiment data by the regression fitting method and the specific equation is obtained. Based on the stress-strain curve of the electro-assisted compression experiment, the influence of pulse current parameters on the stress-strain is analyzed. The result shows that the relative error analysis is carried out between the experimental value measured by the electro-assisted compression experiment and the predicted value obtained by the constitutive model, and the maximum relative error is less than 7%. The constitutive model established by the regression fitting method has a small relative error and can accurately predict the flow stress of the material under different pulse current parameters. |
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