冷喷涂涂层残余应力的比较:拉格朗日与欧拉有限元法

Jacob D. O’Donnell, Michael C. Smith, P. Cavallaro
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引用次数: 0

摘要

冷喷涂是一种新型的热喷涂工艺,其中气体在高温高压下将固体颗粒沉积到基材上。目前的研究利用各种建模技术方法来捕捉冷喷雾颗粒撞击的物理和动力学,结合拉格朗日和欧拉建模方法的元素。本研究采用拉格朗日和欧拉方法模拟了单粒子和多粒子碰撞的冷喷雾事件。颗粒和基材的材料均为标准铝6061-T6合金。模型的目标是:(1)获得颗粒和基体变形和残余应力作为颗粒速度、颗粒温度和基体温度的函数;(2)确定使衬底残余应力达到稳态的最小连续颗粒层数;(3)利用ABAQUS/Explicit识别拉格朗日和欧拉建模方法的数值局限性。拉格朗日法预测的最大von Mises应力比欧拉法低23.72%。然而,拉格朗日模型允许离散节点跟踪,从而允许改进的表面定义和瞬态物质点跟踪。欧拉模型还能更好地处理模型内的塑性变形和由此产生的温度,因此能够处理多粒子的冲击,而拉格朗日模型则不能。使用欧拉方法的多粒子模型报告说,基底稳态应力需要7个粒子才能保持独立于随后的粒子撞击。同心初始位置多粒子模型的von Mises应力比单粒子模型最大降低42.00%,比初始位置随机化的多粒子模型最大降低53.18%。与单颗粒撞击相比,多颗粒撞击表现出应力的降低,因为存在更多的热软化。
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Comparison of Residual Stresses in Cold Spray Coatings: Lagrangian vs. Eulerian Finite Element Methods
Cold spray is a novel thermal spray process in which a gas at high temperature and pressure deposits solid particles onto a substrate material. Current research utilizes a variety of methods of modeling techniques in order to capture the physics and dynamics of a cold spray particle impact, incorporating elements of the Lagrangian and Eulerian modeling methods. This research modeled the cold spray event of single and multi-particle impacts using Lagrangian and Eulerian methods. The material of both the particle and substrate are a standard Aluminum 6061-T6 alloy. The objectives of the models are to: (1) obtain particle and substrate deformations and residual stresses as functions of particle velocity, particle temperature, and substrate temperature; (2) establish the minimum number of successive particle layers such that the substrate residual stresses reach steady state; and (3) identify numerical limitations in the Lagrangian and Eulerian modeling methods using ABAQUS/Explicit. The Lagrangian method predicted a maximum von Mises stress 23.72% lower than that of the Eulerian. The Lagrangian models allowed for discrete node tracking, however, thus allowing for improved surface definitions and transient material point tracking. The Eulerian models also better handled the plastic deformation and resultant temperature generation within the model, and thus were able to handle multiple particle impacts while the Lagrangian could not. The multi-particle models using the Eulerian method reported that seven particles were required for the substrate steady-state stress to remain independent of subsequent particle impacts. Concentric initial position multi-particle models saw a maximum 42.00% reduction in von Mises stress compared to the single-particle models and a maximum 53.18% reduction compared to multi-particle modes with randomized initial particle positions. Multi-particle impacts demonstrated a reduction in stress when compared to the single particle impact due to the increased thermal softening present.
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