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首页> 外文会议>International Conference on Metal Forming >Model framework for the simulation of microstructure and yield stress during aging of industrial Al-Mg-Si aluminum alloys
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Model framework for the simulation of microstructure and yield stress during aging of industrial Al-Mg-Si aluminum alloys

机译：工业Al-Mg-Si铝合金老化过程中微观结构和产量应力模拟模型框架

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Age-hardenable Al-Mg-Si aluminum alloys are widely used for production of automotive body parts due to their good adjustable mechanical properties and potential for lightweight applications. A common industrial manufacturing route for aluminum sheet material consists of a chain of forming and heat treatment steps. In these alloys, the through process evolution of the precipitation microstructure mainly determines the resulting mechanical properties. Further, the occurring precipitation processes are sensitively depending on the complex interplay of various processing parameter. The processing parameters are mostly determined on an empirical basis for industrial applications. However, the determination of appropriate parameters via experimental methods can be very difficult and costly. In order to adapt and optimize the processing route with regard to the desired in-service properties of the workpiece, the prediction of the age hardening behavior via numerical methods is mandatory. In this paper, a modular framework is presented for flexible modelling of the microstructure and the properties evolution through the aging process. In particular, the physically based model can be utilized to predict the age-hardening behavior of AA6016 alloys. With the use of a thermodynamic database, multiple precipitation phases, i.e. stable and meta-stable phases, as well as cluster phases can be considered. The modelling concept is discussed with regard to the overall trade-off between scientific claims and industrial reality regarding the development of a property driven optimization tool of industrial processing parameters for automobile sheets. Furthermore, experimental trials for different processing routes and materials have been carried out. The microstructure model and the yield strength model have been successfully validated for important influencing factors on age hardening behavior, i.e. temperature and alloy composition. The results of the simulations on artificial aging subsequent to a solution heat treatment are presented.
机译：由于其良好的可调节机械性能和轻质应用的可能性，年龄可硬化的Al-Mg-Si铝合金广泛用于生产汽车车​​身部件。用于铝板材料的普通工业制造路线包括成形和热处理步骤。在这些合金中，通过沉淀微观结构的通过过程演变主要决定了所得的机械性能。此外，发生的降水过程根据各种处理参数的复杂相互作用而感灵敏。处理参数主要根据工业应用的经验确定。然而，通过实验方法确定适当的参数可以非常困难且昂贵。为了在关于工件的所需役性质方面适应和优化处理路线，强制性地是通过数值方法预测年龄硬化行为的预测。本文通过老化过程提出了一种模块化框架，用于柔性模拟和性能演化的柔性型材。特别地，物理基础的模型可用于预测AA6016合金的年龄硬化行为。通过使用热力学数据库，可以考虑多个沉淀阶段，即稳定和元稳定的阶段，以及群体相。关于科学索赔与工业现实之间的整体权衡讨论了建模概念，了解汽车床单工业加工参数的物业驱动优化工具的发展。此外，已经进行了不同加工路线和材料的实验试验。用于年龄硬化行为的重要影响因素，即温度和合金组合物，已成功验证了微观结构模型及屈服强度模型。介绍了溶液热处理后的人造老化模拟的结果。

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