The thermomechanical analysis of powder-bed fusion using a laser beam is simulated in both meso- and macroscales within a framework combining continuum assumption and level-set formulation. The mesoscale simulation focuses on laser interaction with the powder bed, and on subsequent melting and solidification. Modelling is conducted at the scale of material deposition, in which powder-bed fusion, hydrodynamics in the melt pool, and thermal stress are simulated. The macroscale model focuses on part construction and post-deposition. During construction, by contrast with the mesoscale approach, the fluid flow in the fusion zone is ignored and material addition is simplified by modelling it at the scale of entire layers, or fractions of layers. The modelling of the energy input is adapted accordingly. This thermomechanical model addresses heat exchange, residual stress, and distortion at the part's scale. In both approaches, adaptive remeshing is applied, providing a good compromise between the needs to provide accurate prediction and maintaining sustainable computation times.
Accepted:
Published online:
Yancheng Zhang 1; Qiang Chen 1; Gildas Guillemot 1; Charles-André Gandin 1; Michel Bellet 1
@article{CRMECA_2018__346_11_1055_0, author = {Yancheng Zhang and Qiang Chen and Gildas Guillemot and Charles-Andr\'e Gandin and Michel Bellet}, title = {Numerical modelling of fluid and solid thermomechanics in additive manufacturing by powder-bed fusion: {Continuum} and level set formulation applied to track- and part-scale simulations}, journal = {Comptes Rendus. M\'ecanique}, pages = {1055--1071}, publisher = {Elsevier}, volume = {346}, number = {11}, year = {2018}, doi = {10.1016/j.crme.2018.08.008}, language = {en}, }
TY - JOUR AU - Yancheng Zhang AU - Qiang Chen AU - Gildas Guillemot AU - Charles-André Gandin AU - Michel Bellet TI - Numerical modelling of fluid and solid thermomechanics in additive manufacturing by powder-bed fusion: Continuum and level set formulation applied to track- and part-scale simulations JO - Comptes Rendus. Mécanique PY - 2018 SP - 1055 EP - 1071 VL - 346 IS - 11 PB - Elsevier DO - 10.1016/j.crme.2018.08.008 LA - en ID - CRMECA_2018__346_11_1055_0 ER -
%0 Journal Article %A Yancheng Zhang %A Qiang Chen %A Gildas Guillemot %A Charles-André Gandin %A Michel Bellet %T Numerical modelling of fluid and solid thermomechanics in additive manufacturing by powder-bed fusion: Continuum and level set formulation applied to track- and part-scale simulations %J Comptes Rendus. Mécanique %D 2018 %P 1055-1071 %V 346 %N 11 %I Elsevier %R 10.1016/j.crme.2018.08.008 %G en %F CRMECA_2018__346_11_1055_0
Yancheng Zhang; Qiang Chen; Gildas Guillemot; Charles-André Gandin; Michel Bellet. Numerical modelling of fluid and solid thermomechanics in additive manufacturing by powder-bed fusion: Continuum and level set formulation applied to track- and part-scale simulations. Comptes Rendus. Mécanique, Volume 346 (2018) no. 11, pp. 1055-1071. doi : 10.1016/j.crme.2018.08.008. https://comptes-rendus.academie-sciences.fr/mecanique/articles/10.1016/j.crme.2018.08.008/
[1] Defect formation mechanisms in selective laser melting: a review, Chin. J. Mech. Eng., Volume 30 (2017), pp. 515-527
[2] Review of selective laser melting: materials and applications, Appl. Phys. Rev., Volume 2 (2015)
[3] Mesoscopic simulation of selective beam melting processes, J. Mater. Process. Technol., Volume 211 (2011), pp. 978-987
[4] Predictive simulation of process windows for powder-bed fusion additive manufacturing: influence of the powder bulk density, Materials, Volume 10 (2017), p. 1117
[5] Overview of modelling and simulation of metal powder-bed fusion process at Lawrence Livermore National Laboratory, Mater. Sci. Technol., Volume 31 (2015), pp. 957-968
[6] On the role of melt flow into the surface structure and porosity development during selective laser melting, Acta Mater., Volume 96 (2015), pp. 72-79
[7] Metal additive-manufacturing process and residual stress modeling, IMMI, Volume 5 (2016) no. 4, pp. 1-33
[8] Powder bed layer characteristics: the overseen first-order process input, Metall. Mater. Trans. A, Volume 47 (2016), pp. 3811-3822
[9] Metal vapor microjet controls material redistribution in laser powder-bed fusion additive manufacturing, Sci. Rep., Volume 7 (2017), p. 4085
[10] Finite element simulation and experimental investigation of residual stresses in selective laser melted Ti–Ni shape memory alloy, Comput. Mater. Sci., Volume 117 (2016), pp. 221-232
[11] Implementation of a thermomechanical model for the simulation of selective laser melting, Comput. Mech., Volume 54 (2014), pp. 33-51
[12] Investigations on residual stresses and deformations in selective laser melting, Prod. Eng. Res. Dev., Volume 4 (2010), pp. 35-45
[13] Computationally efficient distortion prediction in powder-bed fusion additive manufacturing, Int. J. Sci. Eng. Res., Volume 2 (2016), pp. 39-46
[14] A multiscale modeling approach for fast prediction of part distortion in selective laser melting, J. Mater. Process. Technol., Volume 229 (2016), pp. 703-712
[15] Three-dimensional finite element thermomechanical modeling of additive manufacturing by selective laser melting for ceramic materials, Addit. Manuf., Volume 16 (2017), pp. 124-137
[16] Macroscopic thermal finite element modelling of additive metal manufacturing by selective laser melting process, Comput. Methods Appl. Mech. Eng., Volume 331 (2018), pp. 514-535
[17] Fronts propagating with curvature dependent speed: algorithms based on Hamilton–Jacobi formulations, J. Comput. Phys., Volume 79 (1988), pp. 12-49
[18] Three-Dimensional Numerical Modeling of Ductile Fracture Mechanisms at the Microscale, Mines ParisTech, France, 2016 (PhD Thesis)
[19] Temperature-based energy solver coupled with tabulated thermodynamic properties – application to the prediction of macrosegregation in multicomponent alloys, Comput. Mater. Sci., Volume 99 (2015), pp. 221-231
[20] Efficient hyper-reduced-order model (HROM) for thermal analysis in the moving frame, Int. J. Numer. Methods Eng., Volume 111 (2017), pp. 176-200
[21] Stabilized finite element method for incompressible flows with high Reynolds number, J. Comput. Phys., Volume 229 (2010), pp. 8643-8665
[22] ALE method for solidification modelling, Comput. Methods Appl. Mech. Eng., Volume 193 (2004), pp. 4355-4381
[23] An ALE-FEM approach to the thermomechanics of solidification processes with application to the prediction of pipe shrinkage, Int. J. Numer. Methods H., Volume 15 (2005), pp. 120-142
[24] Laser beam melting of alumina: effect of absorber additions, JOM, Volume 70 (2018), pp. 328-335
[25] Thermomechanical Numerical Modeling of Additive Manufacturing by Selective Laser Melting of Powder Bed – Application to Ceramic Material, PSL Research University – Mines ParisTech, France, 2018 (PhD thesis)
[26] Density of Si– melts, J. Amer. Ceram. Soc., Volume 62 (1979), pp. 332-336
[27] Application of Hertzian tests to measure stress–strain characteristics of ceramics at elevated temperatures, J. Amer. Ceram. Soc., Volume 90 (2007), pp. 149-153
[28] Surface tension and viscosity measurements of liquid and undercooled alumina by containerless techniques, Jpn. Soc. Appl. Phys., Volume 44 (2005), pp. 5082-5085
[29] A partitioned resolution for concurrent fluid flow and stress analysis during solidification: application to ingot casting, Schladming (Austria), 17–22 June 2012 (IOP Conf. Ser.), Volume vol. 33 (2012)
[30] Multi-scale modeling of solidification and microstructure development in laser keyhole welding process for austenitic stainless steel, Comput. Mater. Sci., Volume 98 (2015), pp. 446-458
[31] Three-dimensional cellular automaton-finite element modeling of solidification grain structures for arc-welding processes, Acta Mater., Volume 115 (2016), pp. 448-467
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