粉末床熔融中粉末铺粉过程的DEM模拟
DEM simulation of the powder application in powder bed fusion
AI总结：
本研究采用离散元方法（DEM）模拟粉末床熔融中的粉末铺粉过程，发现粘附力和范德华力是影响粉末堆积行为的关键因素，且模拟结果与实验定量一致。
摘要：
粉末的堆积行为受到多种颗粒间吸引力（包括粘附力和非键合范德华力）的显著影响。除了粒径和形状分布外，颗粒间相互作用，特别是摩擦力和粘附力，在决定流动行为及粉末层的堆积密度方面起着至关重要的作用。不同材料和粒径分布下各类吸引力对粉末堆积密度的影响很大程度上仍未被探索，需要进一步研究。在考虑特定粒径分布和材料属性的情况下，通过实验准确理解这些效应面临重大挑战。为应对这些挑战，我们采用离散元方法（DEM）模拟来表征细粉末的堆积行为。通过引入合适的粒径分布并使用适当的颗粒间吸引力模型，我们能够证明模拟与实验结果在定量上的一致性。此外，我们的研究结果表明，使用Johnson-Kendall-Roberts (JKR)模型建模的粘附力以及范德华相互作用都是DEM模拟中必须考虑的关键因素。
英文摘要：
The packing behavior of powders is significantly influenced by various types of inter-particle attractive forces, including adhesion and non-bonded van der Waals forces [1, 2, 3, 4, 5, 6]. Alongside particle size and shape distributions, the inter-particle interactions, in particular frictional and adhesive forces, play a crucial role in determining the flow behavior and consequently the packing density of the powder layer. The impact of various types of attractive forces on the packing density of powders with different materials and particle size distributions remains largely unexplored and requires further investigation. Accurately comprehending these effects through experiments while considering specific particle size distributions and material properties poses significant challenges. To address these challenges, we employ Discrete Element Method (DEM) simulations to characterize the packing behavior of fine powders. We can demonstrate quantitative agreement with experimental results by incorporating the appropriate particle size distribution and using an adequate model of attractive particle interactions. Furthermore, our findings indicate that both adhesion, which is modeled using the Johnson-Kendall-Roberts (JKR) model [7], and van der Waals interactions are crucial factors that must be taken into account in DEM simulations.
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