相关实验视频
Updated: Jun 28, 2025

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Experimental Procedure for Warm Spinning of Cast Aluminum Components
Published on: February 1, 2017
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在高温下模拟Al合金板的流动行为,使用修改的Zerilli-Armstrong模型和基于现象的构成模型
Ali Abd El-Aty1,2, Yong Xu3, Yong Hou4
1Department of Mechanical Engineering, College of Engineering at Al Kharj, Prince Sattam Bin Abdulaziz University, Al-Kharj 11942, Saudi Arabia.
Materials (Basel, Switzerland)
|April 13, 2024
概括
在热变形过程中预测AA2060合金的流动行为是复杂的. 该S2-MJC构成模型通过链接应变速率,应变硬化和软化机制,准确地预测流应力.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 金工业是一种金工业.
背景情况:
- 在热/热变形下AA2060Al合金的流动行为是复杂的,受到拉伸速率,拉伸和变形模式的影响.
- 在广泛的温度和应变率范围内准确预测这种行为对于材料加工至关重要.
研究的目的:
- 为了揭示和预测AA2060Al合金板的热/热变形流动行为.
- 在不同的条件下开发和比较构成模型以准确预测不同条件下的流量应力.
主要方法:
- 使用Gleeble-3800热力学模拟器在100-500°C的温度和0.01-10s-1.1的拉力率下进行了同热拉力测试.
- 开发了三种现象模型 (L-MJC,S1-MJC,S2-MJC) 和一个基于物理的修改Zerilli-Armstrong (MZA) 模型.
- 使用统计参数评估模型的可预测性:相关系数 (R),平均绝对相对误差 (AARE) 和根平均平方误差 (RMSE).
主要成果:
- S2-MJC模型展示了预测和实验应力之间的最接近对齐,超过S1-MJC,L-MJC和MZA模型.
- 统计分析证实了S2-MJC模型的卓越准确性.
- S2-MJC的增强可预测性归因于它有效地链接软化,应变速率和应变硬化.
结论:
- 该S2-MJC构成模型提供了一个高度准确的预测AA2060Al合金在热/热变形下的流动行为.
- 该模型的成功源于其能够将动态恢复和软化机制与应变,应变速率和温度相关联的能力.
- 这项研究为预测和优化AA2060 Al合金的加工提供了可靠的工具.
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