Universal scaling laws of keyhole stability and porosity in 3D printing of metals

Metal three-dimensional (3D) printing includes a vast number of operation and material parameters with complex dependencies, which significantly complicates process optimization, materials development, and real-time monitoring and control. We leverage ultrahigh-speed synchrotron X-ray imaging and high-fidelity multiphysics modeling to identify simple yet universal scaling laws for keyhole stability and porosity in metal 3D printing. The laws apply broadly and remain accurate for different materials, processing conditions, and printing machines. We define a dimensionless number, the Keyhole number, to predict aspect ratio of a keyhole and the morphological transition from stable at low Keyhole number to chaotic at high Keyhole number. Furthermore, we discover inherent correlation between keyhole stability and porosity formation in metal 3D printing. By reducing the dimensions of the formulation of these challenging problems, the compact scaling laws will aid process optimization and defect elimination during metal 3D printing, and potentially lead to a quantitative predictive framework.

[1]  Isabelle Choquet,et al.  Laser Welding Process – A Review of Keyhole Welding Modelling , 2015 .

[2]  Zhengtao Gan,et al.  Numerical simulation of thermal behavior and multicomponent mass transfer in direct laser deposition of Co-base alloy on steel , 2017 .

[3]  Galina Kasperovich,et al.  Correlation between porosity and processing parameters in TiAl6V4 produced by selective laser melting , 2016 .

[4]  C. W. Hirt,et al.  Volume of fluid (VOF) method for the dynamics of free boundaries , 1981 .

[5]  Michael F Toney,et al.  Dynamics of pore formation during laser powder bed fusion additive manufacturing , 2019, Nature Communications.

[6]  C. Kamath,et al.  Laser powder bed fusion additive manufacturing of metals; physics, computational, and materials challenges , 2015 .

[7]  J. S. Zuback,et al.  Additive manufacturing of metallic components – Process, structure and properties , 2018 .

[8]  Reinhart Poprawe,et al.  Formation and reduction of hydrogen porosity during selective laser melting of AlSi10Mg , 2015 .

[9]  T. DebRoy,et al.  Unusual wavy weld pool boundary from dimensional analysis , 2009 .

[10]  Andrew G. Glen,et al.  APPL , 2001 .

[11]  Tao Sun,et al.  High-speed X-ray investigation of melt dynamics during continuous-wave laser remelting of selective laser melted Co-Cr alloy , 2019, CIRP Annals.

[12]  T. Pollock,et al.  3D printing of high-strength aluminium alloys , 2017, Nature.

[13]  D. T. S. A. N. D. A. E. F. Gick Penetration Welding with Lasers , 2013 .

[14]  A. Rollett,et al.  Critical instability at moving keyhole tip generates porosity in laser melting , 2020, Science.

[15]  Vidroha Debroy,et al.  Genetic Programming , 1998, Lecture Notes in Computer Science.

[16]  Tao Chen,et al.  A three-dimensional sharp interface model for self-consistent keyhole and weld pool dynamics in deep penetration laser welding , 2011 .

[17]  R. Fabbro,et al.  Laser-induced plume investigated by finite element modelling and scaling of particle entrainment in laser powder bed fusion , 2019, Journal of Physics D: Applied Physics.

[18]  Remy Fabbro,et al.  Analysis and possible estimation of keyhole depths evolution, using laser operating parameters and material properties , 2018 .

[19]  Johann Sienz,et al.  Investigation into the effect of process parameters on microstructural and physical properties of 316L stainless steel parts by selective laser melting , 2014, The International Journal of Advanced Manufacturing Technology.

[20]  Sheldon Wu,et al.  Scaling laws for the additive manufacturing , 2018, Journal of Materials Processing Technology.

[21]  M. Tang,et al.  Oxides, porosity and fatigue performance of AlSi10Mg parts produced by selective laser melting , 2017 .

[22]  E. Toyserkani,et al.  On the measurement of effective powder layer thickness in laser powder-bed fusion additive manufacturing of metals , 2018, Progress in Additive Manufacturing.

[23]  Michael Towrie,et al.  In situ X-ray imaging of defect and molten pool dynamics in laser additive manufacturing , 2018, Nature Communications.

[24]  Kamel Fezzaa,et al.  Ultrafast X-ray imaging of laser–metal additive manufacturing processes , 2018, Journal of synchrotron radiation.

[25]  Tarasankar DebRoy,et al.  Mitigation of lack of fusion defects in powder bed fusion additive manufacturing , 2018, Journal of Manufacturing Processes.

[26]  Aiden A. Martin,et al.  Controlling interdependent meso-nanosecond dynamics and defect generation in metal 3D printing , 2020, Science.

[27]  E. Buckingham On Physically Similar Systems; Illustrations of the Use of Dimensional Equations , 1914 .

[28]  A. Rubenchik,et al.  Laser powder-bed fusion additive manufacturing: Physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones , 2015, 1512.02593.

[29]  Alexander M. Rubenchik,et al.  Energy Coupling Mechanisms and Scaling Behavior Associated with Laser Powder Bed Fusion Additive Manufacturing , 2019, Advanced Engineering Materials.

[30]  Eduard Hryha,et al.  Effect of process parameters on the microstructure, tensile strength and productivity of 316L parts produced by laser powder bed fusion , 2020 .

[31]  Dragos Axinte,et al.  Mathematical modelling of abrasive waterjet footprints for arbitrarily moving jets: Part I—single straight paths , 2012 .

[32]  Scott N. Schiffres,et al.  Influence of processing and microstructure on the local and bulk thermal conductivity of selective laser melted 316L stainless steel , 2020, Additive Manufacturing.

[33]  N. Parab,et al.  In-situ Observations of Directed Energy Deposition Additive Manufacturing Using High-Speed X-ray Imaging , 2020 .

[34]  Suck-Joo Na,et al.  A study on ray tracing method for CFD simulations of laser keyhole welding: progressive search method , 2016, Welding in the World.

[35]  N. Parab,et al.  Bulk-Explosion-Induced Metal Spattering During Laser Processing , 2019, Physical Review X.

[36]  Michael F Toney,et al.  An instrument for in situ time-resolved X-ray imaging and diffraction of laser powder bed fusion additive manufacturing processes. , 2018, The Review of scientific instruments.

[37]  Kamel Fezzaa,et al.  Pore elimination mechanisms during 3D printing of metals , 2019, Nature Communications.

[38]  Kamel Fezzaa,et al.  Real-time monitoring of laser powder bed fusion process using high-speed X-ray imaging and diffraction , 2017, Scientific Reports.

[39]  Moubin Liu,et al.  Dimensionless analysis on selective laser melting to predict porosity and track morphology , 2019, Journal of Materials Processing Technology.

[40]  Kamel Fezzaa,et al.  Keyhole threshold and morphology in laser melting revealed by ultrahigh-speed x-ray imaging , 2019, Science.

[41]  John Norrish,et al.  Advanced Welding Processes , 1992 .

[42]  Chong Teng,et al.  Influence of laser processing parameters on porosity in Inconel 718 during additive manufacturing , 2019, The International Journal of Advanced Manufacturing Technology.