Role of melt flow dynamics on track surface morphology in the L -PBF additive manufacturing process

被引:22
作者
Chouhan, Arvind [1 ]
Aggarwal, Akash [1 ]
Kumar, Arvind [1 ]
机构
[1] Indian Inst Technol Kanpur, Dept Mech Engn, Kanpur 208016, Uttar Pradesh, India
关键词
Laser  powder bed fusion; Track surface morphology; Solidification; Numerical modeling; Keyhole; Interfacial forces; LIQUID-PHASE-CHANGE; FLUID-FLOW; LASER; HEAT; TRANSPORT; MOMENTUM; FUSION; NICKEL; VOLUME; LAYER;
D O I
10.1016/j.ijheatmasstransfer.2021.121602
中图分类号
O414.1 [热力学];
学科分类号
摘要
A B S T R A C T Laser powder bed fusion (L-PBF) is an additive manufacturing process used to fabricate intricate metal-lic parts by melting successive layers of metallic powder. However, the fabricated part's poor surface roughness limits the extent to which the process can be used. The process involves rapid melting and so-lidification, and the unsteady flows within the melt pool dictate the surface morphology of the solidified tracks, which governs the surface smoothness of the end product. This work reports an experimental and computational investigation on the role of melt flow dynamics on the track's surface morphology. Single tracks were experimentally built by varying laser spot radius and scanning speed, and the corresponding melt pool and track surface morphology were characterized using metallographic and 3D optical pro-filometry techniques. Track formation is numerically simulated using an integrated 3D Discrete Element-Computational Fluid Dynamics (DEM-CFD) model. DEM is used to determine the spatial arrangement of the particles in the powder layer. In the CFD model, a free surface (VOF) approach is employed to pre-cisely capture the interface between the gas and the metal phase. The interaction of laser with the pow-der bed and substrate, the physics of melting, solidification, and evaporation, and the melt flow due to interfacial forces (surface tension and recoil pressure) are accounted. With the help of simulation results, the role of melt flow dynamics on track morphology is described. Track roughness in the experimental samples is predicted with the help of multivariate polynomial regression analysis. The experimental and numerical data of track surface roughness and melt pool characteristics show decent agreement. Based on computational and experimental results, it was found that there exists an optimum scanning speed and laser spot radius which provide the minimum track surface roughness. (c) 2021 Elsevier Ltd. All rights reserved.
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页数:17
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