Modeling of Powder Bed Manufacturing Defects

H.-W. Mindt1, O. Desmaison1, M. Megahed1, A. Peralta2, J. Neumann2
1ESI Group, Paris, France
2Honeywell Aerospace, Phoenix, USA

Tóm tắt

Powder bed additive manufacturing offers unmatched capabilities. The deposition resolution achieved is extremely high enabling the production of innovative functional products and materials. Achieving the desired final quality is, however, hampered by many potential defects that have to be managed in due course of the manufacturing process. Defects observed in products manufactured via powder bed fusion have been studied experimentally. In this effort we have relied on experiments reported in the literature and—when experimental data were not sufficient—we have performed additional experiments providing an extended foundation for defect analysis. There is large interest in reducing the effort and cost of additive manufacturing process qualification and certification using integrated computational material engineering. A prerequisite is, however, that numerical methods can indeed capture defects. A multiscale multiphysics platform is developed and applied to predict and explain the origin of several defects that have been observed experimentally during laser-based powder bed fusion processes. The models utilized are briefly introduced. The ability of the models to capture the observed defects is verified. The root cause of the defects is explained by analyzing the numerical results thus confirming the ability of numerical methods to provide a foundation for rapid process qualification.

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R.F. Housholder, Molding Process. US Patent 4,247,508 (1981) I. Yadroitsev, Selective Laser Melting: Direct Manufacturing of 3D-Objects by Selective Laser Melting of Metal Powders, LAP Lambert Academic Publishing, Saarbrücken, 2009 FAA. (online). [cited 2015 August 8. Available from https://www.faa.gov/aircraft/air_cert/design_approvals/media/CPI_guide_II.pdf A.D. Peralta, M. Enright, M. Megahed, J. Gong, M. Roybal, and J. Craig, Towards Rapid Qualification of Powder-Bed Laser Additively Manufactured Parts, Integrating Materials and Manufacturing Innovation, 2016, doi:10.1186/s40192-016-0052-5 M. Seifi, A. Salem, J. Beuth, O. Harrysson, and J.J. Lewandowski, Overview of Materials Qualification Needs for Metal Additive Manufacturing, J. Miner. Met. Mater. Soc. (JOM), 2016, doi:10.1007/s11837-015-1810-0 P. Mercelis and J.P. Kruth, Residual Stresses in Selective Laser Sintering and Selective Laser Melting, Rapid Prototyp. J., 2006, 12(5), p 254–265. doi:10.1108/13552540610707013 P. Papadakis, G. Branner, A. Schober, K.H. Richter, T. Uihlein, Numerical Modeling of Heat Effects During Thermal Manufacturing of Aero Engine Components. Proceedings of the World Congress on Engineering, London, UK (2012) H. Meier and C. Haberland, Experimental Studies on Selective Laser Melting of Metallic Parts, Mat.-wiss. u. Werkstofftech, 2008, doi:10.1002/mawe.200800327 C. Kamath, B. El-dasher, G.F. Gallegos, W.E. King, A. Sisto, Density of Additively-Manufactured, 316L SS Parts Using Laser Powder-Bed Fusion at Powers Up to 400 W. LLNL-TR-648000 Lawrence Livermore National Laboratory (2013) C. Qiu, C. Panwisawas, M. Ward, H.C. Basoalto, J.W. Brooks, and M.M. Attallah, On the Role of Melt Flow into the Surface Structure and Porosity Development During Selective Laser Melting, Acta Mater., 2015, 96, p 72–79. doi:10.1016/j.actamat.2015.06.004 L. Rickenbacker, T. Etter, and S. Hobel, High Temperature Material Properties of IN738LV Processed by Selective Laser Melting (SLM) Technology, Rapid Prototyp. J., 2013, 19(4), p 282–290 A. Aversa, M. Lorusso, G. Cattano, D. Manfredi, F. Calignano, E.P. Ambrosio, et al., A Study of the Microstructure and the Mechanical Properties of an Al-Si-Ni Alloy Produced Via Selective Laser Melting, J. Alloys Compd., 2017, 695, p 1470–1478 M.A. Lodes, R. Guschbauer, and C. Körner, Process Development for the Manufacturing of 99.94% Pure Copper via Selective Electron Beam Melting, Mater. Lett., 2015, 143, p 298–301. doi:10.1016/j.matlet.2014.12.105 S.J. Raab, R. Guschlbauer, M.A. Lodes, and C. Körner, Thermal and Electrical Conductivity of 99.9% Pure Copper Processed via Selective Electron Beam Melting, Adv. Eng., 2016, doi:10.1002/adem.201600078 M. Khan and P. Dickens, Selective Laser Melting (SLM) of Pure Gold, Gold Bull., 2010, 43(2), p 114–121 J.A. Choren, S.M. Heinrich, and M.B. Silver-Thorn, Young’s Modulus and Volume Porosity Relationships for Additive Manufacturing Applications, J. Mater. Sci., 2013, 48, p 5103–5112. doi:10.1007/s10853-013-7237-5 E. Jelis, M. Clemente, S. Kerwien, N.M. Ravindra, and M.R. Hespos, Metallurgical and Mechanical Evaluation of 4340 Steel Produced by Direct Metal Laser Sintering, JOM, 2015, doi:10.1007/s11837-014-1273-8 B.K. Foster, E.W. Reutzel, A.R. Nassar, B.T. Hall, S.W. Brown, C.J. Dickman, Optical, Layerwise Monitoring of Powder Bed Fusion. 2015 Annual Solid Freeform Fabrication, Austin. In: University of Texas at Austin, pp. 295–307 (2015) M. Megahed, H.W. Mindt, N. N’Dri, H. Duan, and O. Desmaison, Metal Additive Manufacturing Process and Residual Stress Modelling, Integr. Mater. Manuf. Innov., 2016, doi:10.1186/s40192-016-0047-2 J.A. Slotwinski, E.J. Garboczi, P.E. Stutzman, C.F. Ferraris, S.S. Watson, and M.A. Peltz, Characterization of Metal Powders Used for Additive Manufacturing, J. Res. Natl. Inst. Stand. Technol., 2014, 119, p 460–493. doi:10.6028/jres.119.018 J.A. Slotwinski and E.J. Garboczi, Metrology Needs for Metal Additive Manufacturing Powders, JOM, 2015, 67(3), p 538–543. doi:10.1007/s11837-014-1290-7 J. Dawes, R. Bowerman, and R. Trepleton, Introduction to the Additive Manufacturing Powder Metallurgy Supply Chain, Johnson Matthey Technol. Rev., 2015, 59(3), p 243–256 H.W. Mindt, M. Megahed, N.P. Lavery, M.A. Homes, S.G. Brown, Powder Bed Layer Characteristics—The Overseen First Order Process Input. 145th TMS Annual Meeting and Exhibition, Nashville, USA (2016) H.W. Mindt, M. Megahed, N.P. Lavery, M.A. Holmes, and S.G.R. Brown, Powder Bed Layer Characteristics: The Overseen First-Order Process Input, Metall. Mater. Trans. A, 2016, doi:10.1007/s11661-016-3470-2 N. N’Dri, H.W. Mindt, B. Shula, M. Megahed, A.D. Peralta, P. Kantzos, et al., DMLS Process Modelling and Validation. Orlando. In: Wiley, TMS 2015 144th Annual Meeting & Exhibition (2015) H.W. Mindt, M. Megahed, B. Shula, A.D. Peralta, J. Neumann, Powder Bed Models—Numerical Assessment of As-Built Quality. AIAA, editor. (ed) SciTech, 4–8 January, San Diego. pp. 2016–1657 (2016) M. Vogel, M. Khan, J. Ibarra-Medina, A. Pinkerton, N. N’Dri, M. Megahed, A Coupled Approach to Weld Pool, Phase and Residual Stress Modelling of Laser Direct Metal Deposition (LDMD) Processes. 2nd World Congress on Integrated Computational Materials Engineering, Salt Lake City, pp. 231–236 (2013) Keller N, Ploshikhin V (2014) New method for Fast Predictions of Residual Stress and Distortion of AM parts. Solid Freeform Fabrication Symposium, Austin, Texas C. Li, C.H. Fu, Y.B. Guo, and F.Z. Fang, Fast Prediction and Validation of Part Distortion in Selective Laser Melting, Proc. Manuf., 2015, 1, p 355–365 (2011) ATI 718 Plus Alloy Data Sourcebook. : Revision 1.2, ATI Allvac J. Guo and M. Samonds, Alloy Thermal Physical Property Prediction Coupled Computational Thermodynamics with Back Diffusion Consideration, J. Phase Equilib. Diffus. Basic Appl. Res. Sect., 2006, 1, p 1863–7345. doi:10.1007/s11669-006-9005-6 J. Guo, W. Cao, and M. Samonds, The Application of Integrated Computational Material Engineering (ICME) in Metal Castings Simulations, IOP Conf. Ser. Mater. Sci. Eng., 2012, doi:10.1088/1757-899X/33/1/012003 Y.S. Touloukian, D.P. DeWitt, Thermophysical Properties of Matter—Thermal Radiative Properties—Metallic Elements and Alloys. Purdue University (1970) I. Kovaleva, O. Kovalev, and I. Smurov, Model of Heat and Mass Transfer in Random Packing Layer of Powder Particles in Selective Laser Melting, Phys. Proc., 2014, 56, p 400–410. doi:10.1016/j.phpro.2014.08.143 N.P. Lavery, S.G.R. Brown, J. Sienz, F. Belblidia, A Review of Computational Modelling of Additive Layer Manufacturing—Multi-Scale and Multi-Physics. International Conference on Sustainable Design and Manufacturing, Cardiff, UK (2014) A. Mendizabal, J.B. Gonzalez-Diaz, M. San Sebastian, and A. Echeverria, Improved Accuracy of the Inherent Shrinkage Method for Fast and more Reliable Welding Distortion Calculations, J. Mater. Eng. Perform., 2016, doi:10.1007/s11665-016-2116-2