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Numerical Analysis of Magnesium to Aluminum Joints in Friction Stir Blind Riveting

机译:摩擦搅拌盲铆接镁对铝接缝的数值分析

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Friction stir blind riveting (FSBR) is a new dissimilar material joining method that takes advantage of both friction stir welding and mechanical blind riveting. However, no research has been conducted to investigate the stirring effects on energy transformation, material flow and temperature evolution in FSBR, which are critical to help understand the FSBR process. This paper described a hybrid numerical model integrating both finite element method (FEM) and smooth particle hydrodynamics(SPH) approach to predict the stirring effects in FSBR lap joint of Mg/Al. In this SPH-FEM model, only rivet plunging process was simulated, and the following mandrel pulling process was not considered. The Johnson-Cook equation was used to describe the constitutive material properties. The model was validated by comparing thrust forces and torques from numerical prediction and experimental results. From the simulation, it was found that (1) the main input energy was consumed by the torque to generate interfacial friction heat and the heat generated from workpiece deformation was negligible; (2) the maximum welding temperature in Mg (~620°C) was higher than that in Al (~590°C), and both maximum temperatures are close to the melting points; and (3) the evolution of material flow illustrated the formation process of interlocking between Mg and Al.
机译:摩擦搅拌盲铆钉(FSBR)是一种新的异种材料连接方法,其利用摩擦搅拌焊接和机械盲铆接。然而,没有进行研究以研究FSBR中的能量转化,材料流动和温度演进的搅拌影响,这对于帮助了解FSBR过程至关重要。本文描述了一种混合数值模型,其两者的有限元方法(FEM)和平滑粒子流体动力学(SPH)方法相结合,以预测Mg / Al的FSBR圈接头中的搅拌效果。在该SPH-FEM模型中,仅模拟了铆钉进程过程,并且不考虑以下芯轴拉动过程。 Johnson-Cook等式用于描述本构体属性。通过从数值预测和实验结果比较推力和扭矩来验证该模型。从模拟中,发现(1)(1)通过扭矩消耗的主要输入能量产生界面摩擦热量,从工件变形产生的热量可以忽略不计; (2)Mg(〜620°C)的最大焊接温度高于Al(〜590°C),最大温度均接近熔点; (3)材料流程的演变示出了Mg和Al之间的互锁形成过程。

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