Heat transfer model and finite element formulation for simulation of selective laser melting
- 602 Downloads
A novel approach and finite element formulation for modeling the melting, consolidation, and re-solidification process that occurs in selective laser melting additive manufacturing is presented. Two state variables are introduced to track the phase (melt/solid) and the degree of consolidation (powder/fully dense). The effect of the consolidation on the absorption of the laser energy into the material as it transforms from a porous powder to a dense melt is considered. A Lagrangian finite element formulation, which solves the governing equations on the unconsolidated reference configuration is derived, which naturally considers the effect of the changing geometry as the powder melts without needing to update the simulation domain. The finite element model is implemented into a general-purpose parallel finite element solver. Results are presented comparing to experimental results in the literature for a single laser track with good agreement. Predictions for a spiral laser pattern are also shown.
KeywordsSelective laser melting Finite element simulation Consolidation Melt pool size Additive manufacturing
This material is based upon work supported by the U.S. Department of Energy, Office of Science, Office of Advanced Scientific Computing Research, under Award Number DE-SC-0011327. The authors acknowledge Dr. O. Klaas and Dr. M. Beall of Simmetrix, Inc. and Dr. M. Bloomfield, Mr. B. Granzow, and Mr. D. Ibanez of the Scientific Computation Research Center at Rensselaer Polytechnic Institute, who provided valuable contributions to the software development used in this work and feedback on the model development. The authors also thank Dr. G. Hansen from Sandia National Laboratories for providing the Albany finite element simulation tools and providing guidance for implementing new physical models. The simulations presented were carried out using facilities at the Center for Computational Innovations at Rensselaer Polytechnic Institute.
- 1.Bourell DL, Leu MC, Rosen DW (eds) (2009) Roadmap for additive manufacturing: identifying the future of freeform processing. University of Texas, AustinGoogle Scholar
- 16.Yu J, Lin X, Ma L, Wang J, Fu X, Chen J, Weidong H (2011) Influence of laser deposition patterns on part distortion, interior quality, and mechanical qualities by laser solid forming. Mater Sci Eng A 528:1094–1104Google Scholar
- 19.Salinger AG, Bartlett RA, Bradley AM, Chen Q, Demeshko IP, Gao X, Hansen GA, Mota A, Muller RP, Nielsen E, Ostien JT, Pawlowski RP, Perego M, Phipps ET, Sun W, Tezaur IK (2016) Albany: using component-based design to develop a flexible, generic multiphysics analysis code. Int J Multiscale Comput Eng 14(4):415–438CrossRefGoogle Scholar
- 21.Davis JR (ed) (1994) Stainless steels. ASM specialty handbook. ASM, Materials ParkGoogle Scholar
- 25.Cremers DA, Lewis GK, Korzekwa DR (1991) Measurement of energy deposition during pulsed laser welding. Weld J 40(7):159-s–167-sGoogle Scholar
- 27.Hansen G Albany project website. https://github.com/gahansen/albany/wiki
- 28.Heroux MA, Bartlett RA, Howle VE, Hoekstra RJ, Hu JJ, Kolda TG, Lehoucq RB, Long KR, Pawlowski RP, Phipps ET, Salinger AG, Thornquist HK, Tuminaro RS, Willenbring JM, Williams A, Stanley KS (2005) An overview of the trilinos project. ACM Trans Math Softw 31(3):397–423MathSciNetCrossRefzbMATHGoogle Scholar
- 29.Prokopenko A, Siefert CM, Hu JJ, Hoemmen M, Klinvex A (2016) Ifpack2 users guide 1.0. Technical report SAND2016-5338, Sandia National Labs, 2016Google Scholar
- 30.Beall M, Simmetrix, Inc. website. http://www.simmetrix.com/