Despite the emerging research, it is still troublesome to control the defect formation in selective laser melted parts. In this paper, a mechano-thermo-fluid dynamical FEM model at meso-scale was proposed. The model calculates and predicts the volume and dimensions of lack-of-fusion (LOF) defects according to the applied process parameters. The numerical model was validated with experimentally assessed volume of lack-of-fusion defects and melt pool dimensions. Results shown the lowest volume of LOF defects (0.41%) in specimen produced with 275 W and scanning speed of 400 mm/s. Laser power was determined as a parameter majorly impacting the volume and dimensions of LOF in selective laser melted parts.
TrevisanF, CalignanoF, LorussoM, . On the selective laser melting (SLM) of the AlSi10Mg alloy: process, microstructure, and mechanical properties. Materials. 2017;10(1):76.
2.
ContuzziN, CampanelliSL, CaiazzoF, . Design and fabrication of random metal foam structures for laser powder bed fusion. Materials. 2019;12(8):1301.
3.
KozakJ, ZakrzewskiT, WittM, . Selected problems of additive manufacturing using SLS/SLM processes. Trans Aerosp Res. 2021;2021(1):24–44.
4.
ZhangB, LiY, BaiQ.Defect formation mechanisms in selective laser melting: a review. Chin J Mech Eng. 2017;30:515–527.
5.
ChenJ, HouW, WangX, . Microstructure, porosity and mechanical properties of selective laser melted AlSi10Mg. Chin J Aeronaut. 2019;33:2043–2054.
6.
StefJ, PoulonA, RedjaïmiaA, . Mechanism of porosity formation and influence on mechanical properties in selective laser melting of Ti-6Al-4 V parts. Mater Des. 2018:480–493. https://doi.org/10.1016/j.matdes.2018.06.049.
7.
KhairallahSA, AndersonAT, RubenchikA, . Laser powder-bed fusion additive manufacturing: physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones.
8.
ObidigboC, TatmanEP, GockelJ.Processing parameter and transient effects on melt pool geometry in additive manufacturing of invar 36. Int J Adv Manuf Technol. 2019;104:3139–3146.
9.
SaundersR, RawlingsA, BirnbaumA, . Additive manufacturing melt pool prediction and classification via multifidelity Gaussian process surrogates. Integr Mater Manuf Innov. 2022;11:497–515.
10.
MukherjeeT, DebRoyT.Mitigation of lack of fusion defects in powder bed fusion additive manufacturing. J Manuf Process. 2018;36:442–449. https://doi.org/10.1016/j.jmapro.2018.10.028.
11.
TangM. Inclusions, porosity, and fatigue of AlSi10Mg parts produced by selective laser melting, 2017.
12.
NingJ, WangW, ZamoranoB, . Analytical modeling of lack-of-fusion porosity in metal additive manufacturing. Appl Phys A. 2019;125:1–11.
13.
WangW, NingJ, LiangSY.Analytical prediction of balling, lack-of-fusion and keyholing thresholds in powder Bed fusion. Appl Sci. 2021;11(24):12053.
14.
AnsariM, NguyenD-S, ParkH.Investigation of SLM process in terms of temperature distribution and melting pool size: modeling and experimental approaches. Materials. 2019;12:1272–1284. https://doi.org/10.3390/ma12081272.
15.
JafariD, WitsWW, VanekerTH, . Pulsed mode selective laser melting of porous structures: structural and thermophysical characterization. Addit Manuf. 2020;35:102–136.
16.
WhiteJP, ReadN, WardRM, . Prediction of melt pool profiles for selective laser melting of AlSi10Mg alloy. Materials Science and Technology Conference and Exhibition 2014, MS and T 2014; 2014. 3. 1985–1992.
17.
UllahR, LianJ, AkmalJ, . Prediction and validation of melt pool dimensions and geometric distortions of additively manufactured AlSi10Mg, 2022.
18.
MoussaouiK, RubioW, MousseigneM, . Effects of selective laser melting additive manufacturing parameters of inconel 718 on porosity, microstructure and mechanical properties. Mater Sci Eng A. 2018;735:182–190. ISSN 0921-5093.
19.
FerroP, MeneghelloR, SavioG, . A modified volumetric energy density–based approach for porosity assessment in additive manufacturing process design. Int J Adv Manuf Technol. 2020;110:1911–1921.
20.
BayatM, DongW, ThorborgJ, . A review of multi-scale and multi-physics simulations of metal additive manufacturing processes with focus on modeling strategies. Addit Manuf. 2021;47:102278. ISSN 2214-8604.
21.
PromoppatumP, SrinivasanR, QuekSS, . Quantification and prediction of lack of-fusion porosity in the high porosity regime during laser powder bed fusion of Ti-6Al-4 V. J Mater Process Technol. 2022;300:118–127.
22.
Abu-LebdehT, DampteyR, LambertiV, . (2019). Powder packing density and its impact on SLM-based additive manufacturing.
23.
YuanW, ChenH, ChengT T, . Effects of laser scanning speeds on different states of the molten pool during selective laser melting: simulation and experiment. Mater Des. 2020;189:108542, doi:10.1016/j.matdes.2020.108542.
24.
ZhuangJR, LeeYT, HsiehYH, . Determination of melt pool dimensions using DOE-FEM and RSM with process window during SLM of Ti6Al4V powder. Opt Laser Technol. 2018;103:59–76.
25.
KheirabadiAC, GroulxD.The effect of the mushy-zone constant on simulated phase change heat transfer. Proceedings of CHT-15; 2015; Piscataway, USA.
26.
LaaksoP, RiipinenT, LaukkanenA, . Optimization and simulation of SLM process for high density H13 tool steel parts. Phys Procedia. 2016;83:26–35. https://doi.org/10.1016/j.phpro.2016.08.004.
27.
KerslakeTW.Experiments with phase change thermal energy storage canisters for space station freedom. 26th Interso¢iety Energy Conversion Engineering Conference; 1991; Boston, Mass., p. 248–261. (see also NASA TM-104427).
28.
LiuB, LiB, LiZ, . Numerical investigation on heat transfer of multi-laser processing during selective laser melting of AlSi10Mg. Results Phys. 2019;12(2019):454–459.
29.
AboulkhairNT, MaskeryI, TuckC, . The microstructure and mechanical properties of selectively laser melted AlSi10Mg: the effect of a conventional T6-like heat treatment. Mater Sci Eng A. 2016;667:139–146.
30.
CaiazzoF.Additive manufacturing by means of laser-aided directed metal deposition of titanium wire. Int J Adv Manuf Technol. 2018;96:2699–2707.
31.
ZygułaK, NosekB, PasiowiecH, . Mechanical properties and microstructure of AlSi10Mg alloy obtained by casting and SLM technique. WSN. 2018;104:462–472.
32.
FiedlerT, DörriesK, RöslerJ.Selective laser melting of Al and AlSi10Mg: parameter study and creep experiments. Prog Addit Manuf. 2021;7:583–592. https://doi.org/10.1007/s40964-021-00248-5.
33.
AstakhovV. (2012). Design of experiment methods in manufacturing: basics and practical applications.
34.
ZhirnovI, KotobanDV, GusarovAV.Evaporation-induced gas-phase flows at selective laser melting. Appl Phys A. 2018;124:157.
