Modified Constitutive Model and Ductile Fracture Criterion for 5A06 Al-Alloy Sheets at Elevated Temperatures
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摘要: 为了获取材料在不同条件下成形性能指标，对5A06铝合金板材进行了热态单向拉伸试验，结合热态单向拉伸试验和韧性断裂试验结果，提出了一种修正Misiolek模型；利用修正模型的外插性能预测颈缩后板材流变应力，应用径向基函数神经网络算法建立了Cockroft-Latham韧性断裂阈值预测模型，并对该模型进行了预测精度评估.结果表明，流变应力对温度及应变速率敏感，对比径向基函数网络模型预测误差小于10.6%.Abstract: In order to obtain the formation characteristics of 5A06 aluminium alloy sheets, uniaxial tensile tests were conducted under different conditions. From hot tensile and fracture tests, a modified Misiolek equation was defined that extrapolated the flow stress from the diffuse necking of the metal sheet. By using a radial basis unction (RBF) artificial neural network, a Crockroft-Latham ductile fracture threshold prediction model was also developed. An evaluation of the network compared model results with experimental data. Results show that the material flow stress is very sensitive to temperature and strain rate, and the RBF artificial neural network can predict the ductile fracture threshold with a maximum error of less than 10.6%.
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图 1 5A06铝合金板材流动应力-塑性应变曲线
Figure 1. Flow stress vs. plastic strain of the 5A06 alloy sheet
表 1 5A06-O铝合金板材化学成分
Table 1. Chemical composition of the 5A06 alloy
元素 Mg Si Fe Cu Mn Zn Ti Al wB/% 5.9 0.4 0.4 0.1 0.7 0.2 0.06 其余 
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表 2 不同条件下5A06铝合金Crockroft-Latham韧性断裂阈值
Table 2. Crockroft-Latham fracture threshold of the 5A06 Al alloy under various conditions
MPa 应变速率/s-1 温度/℃ 150 200 250 300 0.055 00 76.535 73.423 65.652 65.105 0.005 50 91.979 80.172 71.438 58.668 0.000 55 115.048 90.071 73.938 51.417
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