Numerical Simulation of Molten Flow in Directed Energy Deposition Using an Iterative Geometry Technique

被引：3
作者：
Vincent T.J. [1 ]
Rumpfkeil M.P. [2 ]
Chaudhary A. [1 ]
机构：
[1] Applied Optimization, Inc, 3040 Presidential Drive, Fairborn, 45324, OH
[2] Department of Mechanical and Aerospace Engineering, University of Dayton, Dayton, OH
来源：
Lasers in Manufacturing and Materials Processing | 2018年 / 5卷 / 2期
关键词：
Additive manufacturing; DED; LENS; OpenFOAM; Ti-6Al-4V;
D O I：
10.1007/s40516-018-0057-3
中图分类号：
学科分类号：
摘要：
The complex, multi-faceted physics of laser-based additive metals processing tends to demand high-fidelity models and costly simulation tools to provide predictions accurate enough to aid in selecting process parameters. Of particular difficulty is the accurate determination of melt pool shape and size, which are useful for predicting lack-of-fusion, as this typically requires an adequate treatment of thermal and fluid flow. In this article we describe a novel numerical simulation tool which aims to achieve a balance between accuracy and cost. This is accomplished by making simplifying assumptions regarding the behavior of the gas-liquid interface for processes with a moderate energy density, such as Laser Engineered Net Shaping (LENS). The details of the implementation, which is based on the solver simpleFoam of the well-known software suite OpenFOAM, are given here and the tool is verified and validated for a LENS process involving Ti-6Al-4V. The results indicate that the new tool predicts width and height of a deposited track to engineering accuracy levels. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.
引用
收藏
页码：113 / 132
页数：19
相关论文
共 18 条
  • [1] Kim Y.D., Kim W.S., A numerical analysis of heat and fluid flow with a deformable curved free surface in a laser melting process, Int. J. Heat Fluid Flow, 29, pp. 1481-1493, (2008)
  • [2] Mullen L., Stamp R., Brooks W., Jones E., Sutcliffe C., Selective laser melting: a regular unit cell approach for the manufacture of porous, titanium, bone in-growth constructs, suitable for orthopedic applications, J. Biomed. Mater. Res. B Appl. Biomater., 89, 2, pp. 325-334, (2009)
  • [3] Shen Y., McKown S., Tsopanos S., Sutcliffe C., Mines R., Cantwell W., The mechanical properties of sandwich structures based on metal lattice architectures, J. Sandw. Struct. Mater., 12, 2, pp. 159-180, (2010)
  • [4] Kumar A., Roy S., Effect of three-dimensional melt pool convection on process characteristics during laser cladding, Comput. Mater. Sci., 46, pp. 495-506, (2009)
  • [5] Gan Z., Yu G., He X., Li S., Numerical simulation of thermal behavior and multicomponent mass transfer in direct laser deposition of co-base alloy on steel, Int. J. Heat Mass Transf., 104, pp. 28-38, (2017)
  • [6] Bedenko D., Kovalev O., Modelling of heat and mass transfer in the laser cladding during direct metal deposition, Thermophys. Aeromech., 20, 2, pp. 251-261, (2013)
  • [7] Ahsan M.N., Pinkerton A.J., An analytical–numerical model of laser direct metal deposition track and microstructure formation, Model. Simul. Mater. Sci. Eng., 19, 5, (2011)
  • [8] Wang Q., Li J., Gouge M., Nassar A.R., Michaleris P.P., Reutzel E.W., Physics-based multivariable modeling and feedback linearization control of melt-pool geometry and temperature in directed energy deposition, J. Manuf. Sci. Eng., 139, 2, (2017)
  • [9] Weller H.G., Tabor G., Jasak H., Fureby C., A tensorial approach to computational continuum mechanics using object-oriented techniques, Comput. Phys., 12, 6, pp. 620-631, (1998)
  • [10] Assuncao E., Williams S., Yapp D., Interaction time and beam diameter effects on the conduction mode limit, Opt. Lasers Eng., 50, 6, pp. 823-828, (2012)
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