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Non-Equilibrium Diffusion-Controlled Melting and Re-Solidification of Thin Metal Layers on a Reactive Substrate

机译:在反应基材上的非平衡扩散控制熔融和再凝固薄金属层

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The paper offers an approach to a prediction of the residue formation inherent to melting of micro layers of molten aluminum alloy and a subsequent reactive flow governed by surface tension. The phenomenon studied is associated with materials’ processing during controlled atmosphere brazing of aluminum. The model assumes that a non-equilibrium diffusion of Silicon, present in an Al + Si clad of a brazing sheet, has a two-fold role. First, a solid state Si diffusion prior to melting and across the clad-core interface of a composite brazing sheet takes place. Concurrently and subsequently, Si diffusion within clad controls the melting process. Both processes are essential for clad residue formation. The approach advocated in this paper leads to a prediction of the residue formation through a modeling of the non-equilibrium diffusion-controlled melting. A heuristic interpretation of physical mechanisms was discussed and a related mathematical model devised. The model was solved numerically in terms of Si concentration distributions for a moving boundary problem and corroborated with empirical data. Empirical data were gathered using an experimental controlled atmosphere brazing facility. The results of the modeling and their corroboration with the experimental data indicate a strong dependence of residue formations on the pre-melting state of the clad, in particular on the grain size within Al-clad matrix. A good agreement between numerically predicted residue mass and experimental findings is documented in detail.
机译:本文提供了一种预测熔融铝合金微层熔化固有的残留物形成的方法,以及通过表面张力治理的随后的反应性流动。研究的现象与铝的受控气氛钎焊期间的材料加工有关。该模型假设硅的非平衡扩散,存在于钎焊板的Al + Si包层中,具有两倍的作用。首先,在熔化之前和穿过复合钎焊板的包层壁界面之前的固态Si扩散。同时和随后,在包层内的Si扩散控制了熔化过程。这两个过程对于包层残留物形成至关重要。本文主张的方法通过非平衡扩散控制熔化的建模来预测残留物形成。讨论了对物理机制的启发式解释,并设计了相关的数学模型。根据移动边界问题的SI浓度分布,该模型解决了移动边界问题的求解,并用经验数据证实。使用实验控制的大气钎焊设施收集经验数据。与实验数据的建模及其化的结果表明残留物形成对包层的预热状态的强烈依赖性,特别是在Al-Clad基质中的晶粒尺寸。详细记录了数值预测的残留物和实验结果之间的良好一致性。

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