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GCr15钢几种高应变率本构模型的比较研究
Journal of Materials Engineering and Performance
(
IF
2.2
)
Pub Date : 2023-03-20
, DOI:
10.1007/s11665-023-08092-0
Shangyang He
,
Haodong Yang
,
Zhanjiang Wang
基于从使用分裂霍普金森压力杆的动态压缩实验获得的真实应力-应变数据,开发了包括 Johnson-Cook 模型、改进的 Johnson-Cook 模型、机械阈值应力模型和改进的 Arrhenius 型本构模型在内的本构模型来描述GCr15 钢在 298 至 873 K 温度范围和 460 至 3940 s −1应变速率范围内的塑性流动行为. 使用 Gray Wolf Optimizer 优化模型的材料参数,并根据相关系数和平均绝对相对误差评估预测性能。此外,使用扫描电子显微镜观察冲击后试样的微观形态。结果表明,所有四种本构模型都有效地反映了 GCr15 钢的塑性流动行为。改进的 Johnson-Cook 模型比 Johnson-Cook 模型、机械阈值应力模型和改进的 Arrhenius 型本构模型更有效和准确地预测 GCr15 钢的动态压缩行为,相关系数为 0.9711,平均绝对值相对误差为 2.6501%,平均相对误差为 −0.2899%。
"点击查看英文标题和摘要"
Comparative Study on Several Constitutive Models of GCr15 Steel at High Strain Rates
Based on the true stress–strain data obtained from dynamic compression experiments using split Hopkinson pressure bar, constitutive models including the Johnson–Cook model, modified Johnson–Cook model, Mechanical Threshold Stress model, and modified Arrhenius-type constitutive model are developed to describe the plastic flow behavior of GCr15 steel over a temperature range of 298 to 873 K and strain rates from 460 to 3940 s−1. The material parameters for the models are optimized using the Grey Wolf Optimizer, and the predictive performance is evaluated based on the correlation coefficient and average absolute relative error. Furthermore, the micromorphology of the specimen after impact is observed using a scanning electron microscope. The results indicate that all four constitutive models effectively reflect the plastic flow behavior of GCr15 steel. The modified Johnson–Cook model is more effective and accurate than the Johnson–Cook model, Mechanical Threshold Stress model, and modified Arrhenius-type constitutive model for predicting the dynamic compression behavior of GCr15 steel, with a correlation coefficient of 0.9711, an average absolute relative error of 2.6501% and a mean relative error of −0.2899%.
更新日期:2023-03-20