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Interaction between primary dendrite arm spacing and velocity of fluid flow during solidification of Al-Si binary alloys

机译:Al-Si二元合金凝固过程中初级枝形臂间距和流体流动速度的相互作用

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摘要

A new and more efficient numerical algorithm to simulate the solidification of binary metallic alloys, wherein for the first time, the undercooling of the liquidus temperature prior to solidification event and optimized thermo-physical properties was incorporated, has been recently developed and validated by various experiments. Subsequently, experiments were carried out to evaluate the validity of various theoretical models in the literature used to predict the dendrite arm spacing (DAS) and quantify the critical interaction between fluid flow and transient DAS during unsteady state solidification. Typically, models of solidification processes such as casting, welding and galvanizing assume a constant value of fluid flow to predict the DAS and in many cases unable to obtain validation. This practice is erroneous and the transient fluid flow developed during solidification has a significant effect on the transient DAS, thermal gradient (G), solidification velocity (R) and morphology of the mushy zone. The Bouchard-Kirkaldy model (DAS prediction) coupled with the Lehmann model to incorporate fluid flow velocity was the only valid theoretical model in binary alloy solidification.
机译:一种新的更高效的数值算法来模拟二元金属合金的凝固,其中,首次在凝固事件之前液体温度的过冷却并入并入了优化的热物理性质,并通过各种实验进行了验证和验证。随后,进行实验以评估文献中的各种理论模型的有效性,用于预测树突臂间距(DAS),并在不稳定状态凝固期间量化流体流动和瞬态DA之间的关键相互作用。通常,诸如铸造,焊接和镀锌等凝固过程的模型假设流体流量的恒定值以预测DAS,并且在许多情况下无法获得验证。这种做法是错误的,并且在凝固过程中产生的瞬态流体流对瞬态DAS,热梯度(G),凝固速度(R)和糊状区的形态具有显着影响。与Lehmann模型相结合的Bouchard-kirkalde模型(DAS预测)以包含流体流速的唯一有效的二元合金凝固理论模型。

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