...
首页> 外文期刊>Metallurgical and Materials Transactions, A. Physical Metallurgy and Materials Science >A Combined Precipitation, Yield Strength, and Work Hardening Model for Al-Mg-Si Alloys
【24h】

A Combined Precipitation, Yield Strength, and Work Hardening Model for Al-Mg-Si Alloys

机译:Al-Mg-Si合金的组合析出,屈服强度和加工硬化模型

获取原文
获取原文并翻译 | 示例
           

摘要

In the present article, a new two-internal-variable model for the work hardening behavior of commercial Al-Mg-Si alloys at room temperature is presented, which is linked to the previously developed precipitation and yield strength models for the same class of alloys. As a starting point, the total dislocation density is taken equal to the sum of the statistically stored and the geometrically necessary dislocations, using the latter parameters as the independent internal variables of the system. Classic dislocation theory is then used to capture the overall stress-strain response. In a calibrated form, the work hardening model relies solely on outputs from the precipitation model and thus exhibits a high degree of predictive power. In addition to the solute content, which determines the rate of dynamic recovery, the two other microstructure parameters that control the work hardening behavior are the geometric slip distance and the corresponding volume fraction of nonshearable Orowan particles in the base material. Both parameters are extracted from the predicted particle size distribution. The applicability of the combined model is illustrated by means of novel process diagrams, which show the interplay between the different variables that contribute to work hardening in commercial Al-Mg-Si alloys.
机译:在本文中,提出了一种新的内部可变的两变模型,用于商业化Al-Mg-Si合金在室温下的加工硬化行为,该模型与先前开发的用于同一类合金的析出和屈服强度模型相关联。作为起点,使用后一个参数作为系统的独立内部变量,将总位错密度设为统计存储的位错和几何上必要的位错之和。然后使用经典的位错理论来捕获整体应力应变响应。在校准形式下,工作硬化模型仅依赖于降水模型的输出,因此具有很高的预测能力。除了决定动态恢复速率的溶质含量外,控制加工硬化行为的其他两个微结构参数是基体材料中的几何滑移距离和不可剪切的Orowan颗粒的相应体积分数。从预测的粒度分布中提取两个参数。通过新颖的工艺图说明了组合模型的适用性,该工艺图显示了有助于工业Al-Mg-Si合金加工硬化的不同变量之间的相互作用。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号