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Modelling particle impact on the melt pool and wettability effects in laser directed energy deposition additive manufacturing

机译:在激光定向能量沉积添加剂制造中模拟颗粒对熔池的影响和润湿性效应

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摘要

In powder based Laser-Directed Energy Deposition (L-DED), an incident laser melts a millimeter scale pool of metal, into which feedstock powder is sprayed. Previous high speed video reveals that powders are trapped by surface tension and float for a brief residence time before melting, directly contributing to surface roughness and loss of mass capture efficiency. In this work, influencing factors on this behavior are investigated with numerical models through coupling a three phase (gas, liquid, solid) Computational Fluid Dynamics (CFD) model with applied surface tension to a heat transfer model and observing the melting dynamics of an individual powder particle of stainless steel 316 L. Sensitivity of residence time to particle size, impact velocity, melt pool and particle temperature, surface tension, and material thermophysical properties are investigated. It is found that simulations can be condensed into a simplified analytic equation, providing a rapid, explicit estimation of residence time. The demonstrated sensitivity of L-DED to powder scale surface wettability phenomena highlights a fundamental mechanistic reason why control of feedstock powder properties is essential for reliable system behavior.
机译:在基于粉末的激光定向能量沉积(L-DED)中,入射激光将毫米级的金属熔池熔化,向其中喷射原料粉末。先前的高速视频显示,粉末在熔化前会因表面张力而被捕获并漂浮一段短暂的停留时间,直接造成表面粗糙度和质量捕集效率的下降。在这项工作中,通过将具有施加的表面张力的三相(气体,液体,固体)计算流体动力学(CFD)模型耦合到传热模型并观察个体的熔融动力学,用数值模型研究了影响该行为的因素。研究了316 L不锈钢粉末粉末。研究了停留时间对粒度,冲击速度,熔池和颗粒温度,表面张力以及材料热物理性质的敏感性。发现可以将模拟浓缩为一个简化的分析方程式,从而可以快速,明确地估计停留时间。 L-DED对粉末级表面润湿性现象的敏感性表明,这是机械机理的根本原因,因为控制原料粉末的性能对于可靠的系统性能至关重要。

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