Residual stress is a key indicator for measuring complex additive components, and its control method has received extensive attention. In this study, the finite element simulation of selective laser melting of AlSi10Mg was performed. It is found that the opposite laser scanning strategy can reduce the final residual stress of the sample. The effect of preheating the substrate to control the residual stress within a certain temperature range is obvious, and the laser scanning speed has the greatest influence on the Z-direction residual stress of the sample. The results show that the sag phenomenon is easy to occur at the laser scanning starting position, and the formed layer is the maximum residual stress region at the junction with the substrate.
FrazierWE.Metal additive manufacturing: a review. J Mate Eng Perform. 2014; 23(6):1917–1928. doi: 10.1007/s11665-014-0958-z
2.
GibsonIRosenDStuckerB.Additive Manufacturing Technologies. New York(NY): Springer; 2010.
3.
AliHGhadbeigiHMumtazK.Effect of scanning strategies on residual stress and mechanical properties of selective laser melted Ti6Al4V. Mate Sci Eng A. 2018; 712:175–187. doi: 10.1016/j.msea.2017.11.103
4.
LiYZhouKTanPModeling temperature and residual stress fields in selective laser melting. Int J Mech Sci. 2018; 136:24–35. doi: 10.1016/j.ijmecsci.2017.12.001
5.
DebroyTWeiHLZubackJSAdditive manufacturing of metallic components – process, structure and properties. Prog Mater Sci. 2017; 92:112–224. doi: 10.1016/j.pmatsci.2017.10.001
6.
WimpennyDIPandeyPMKumarLJ.Advances in 3D printing & additive manufacturing technologies. Singapore(SG): Springer; 2017.
7.
WithersPJBhadeshiaHKDH.Residual stress. Part 2 nature and origins. Met Sci J. 2001; 17(4):366–375.
8.
LeudersSThöneMRiemerAOn the mechanical behaviour of titanium alloy TiAl6V4 manufactured by selective laser melting: fatigue resistance and crack growth performance. Int J Fatigue. 2013; 48(3):300–307. doi: 10.1016/j.ijfatigue.2012.11.011
9.
SalmiAAtzeniE.History of residual stresses during the production phases of AlSi10Mg parts processed by powder bed additive manufacturing technology. Virtual Phys Prototyping. 2017; 12(12):1–8.
10.
RobertsIAWangCJEsterleinRA three-dimensional finite element analysis of the temperature field during laser melting of metal powders in additive layer manufacturing. Int J Mach Tools Manuf. 2009; 49(12–13):916–923. doi: 10.1016/j.ijmachtools.2009.07.004
11.
ZhangDCaiQLiuJResearch on process and microstructure formation of W-Ni-Fe alloy fabricated by selective laser melting. J Mater Eng Perform. 2011; 20(6):1049–1054. doi: 10.1007/s11665-010-9720-3
12.
HusseinAHaoLYanCFinite element simulation of the temperature and stress fields in single layers built without-support in selective laser melting. Mater Des. 2013; 52(24):638–647. doi: 10.1016/j.matdes.2013.05.070
13.
YadroitsevIYadroitsavaI.Evaluation of residual stress in stainless steel 316L and Ti6Al4 V samples produced by selective laser melting. Virtual Phys Prototyping. 2015; 10(2):67–76. doi: 10.1080/17452759.2015.1026045
14.
YangLYangYDiW.A study on the residual stress during selective laser melting (SLM) of metallic powder. Int J Adv Manuf Technol. 2016; 87(1–4):647–656. doi: 10.1007/s00170-016-8454-2
15.
MishraAKAggarwalAKumarAIdentification of a suitable volumetric heat source for modelling of selective laser melting of Ti6Al4 V powder using numerical and experimental validation approach. Int J Adv Manuf Technol. 2018; 99:9–12. doi: 10.1007/s00170-018-2631-4
16.
WuJWangLAnX.Numerical analysis of residual stress evolution of AlSi10Mg manufactured by selective laser melting. Opt – Int J Light Electron Opt. 2017; 137:65–78. doi: 10.1016/j.ijleo.2017.02.060
17.
ParryLAshcroftIBracketDInvestigation of residual stresses in selective laser melting. Key Eng Mater. 2015; 627:129–132. doi: 10.4028/www.scientific.net/KEM.627.129
18.
ParryLAshcroftIAWildmanRD.Understanding the effect of laser scan strategy on residual stress in selective laser melting through thermo-mechanical simulation. Addit Manuf. 2016; 12(part_PA):1–15.
19.
JiangXiaohuiKongXiangjingZhangZhenyaModeling the effects of Undeformed Chip Volume (UCV) on residual stresses during the milling of curved thin-walled parts. Int J Mech Sci. 2020; 167. doi:10.1016/j.ijmecsci.2019.105162.
20.
MugwagwaLDimitrovDMatopeSInfluence of process parameters on residual stress related distortions in selective laser melting. Procedia Manuf. 2018; 21:92–99. doi: 10.1016/j.promfg.2018.02.099
21.
LiYGuD.Parametric analysis of thermal behavior during selective laser melting additive manufacturing of aluminum alloy powder. Mater Des. 2014; 63(2):856–867. doi: 10.1016/j.matdes.2014.07.006
22.
NadammalNCabezaSMishurovaTEffect of hatch length on the development of microstructure, texture and residual stresses in selective laser melted superalloy Inconel 718. Mater Des. 2017; 134:139–150. doi: 10.1016/j.matdes.2017.08.049
23.
KumarSSBaiVSRajasekharanT.Aluminium matrix composites by pressureless infiltration: the metallurgical and physical properties. J Phys D Appl Phys. 2008; 41(10):105403. doi: 10.1088/0022-3727/41/10/105403
24.
KumarSSBaiVSRajkumarKVElastic modulus of Al–Si/SiC metal matrix composites as a function of volume fraction. J Phys D Appl Phys. 2009; 42(42):175504. doi: 10.1088/0022-3727/42/17/175504
25.
LouvisEFoxPSutcliffeCJ.Selective laser melting of aluminium components. J Mater Process Technol. 2011; 211(2):275–284. doi: 10.1016/j.jmatprotec.2010.09.019
26.
MercelisPKruthJP.Residual stresses in selective laser sintering and selective laser melting. Rapid Prototyp J. 2006; 12(5):254–265. doi: 10.1108/13552540610707013
27.
GrumJŠturmR.A new experimental technique for measuring strain and residual stresses during a laser remelting process. J Mater Process Technol. 2004; 147(3):351–358. doi: 10.1016/j.jmatprotec.2004.01.007
28.
CasalinoGCampanelliSLLudovicoAD.Laser-arc hybrid welding of wrought to selective laser molten stainless steel. Int J Adv Manuf Technol. 2013; 68(1–4):209–216. doi: 10.1007/s00170-012-4721-z
29.
WuCPangJLiBHigh-speed grinding of HIP-SiC ceramics on transformation of microscopic features. Int J Adv Manuf Technol. 2019; 102(5-8):1913–1921. doi: 10.1007/s00170-018-03226-4
30.
VranckenBCainVKnutsenRResidual stress via the contour method in compact tension specimens produced via selective laser melting. Scr Mater. 2014; 87(87):29–32. doi: 10.1016/j.scriptamat.2014.05.016
31.
SpieringsABSchneiderMEggenbergerR.Comparison of density measurement techniques for additive manufactured metallic parts. Rapid Prototyping J. 2011; 17(5):380–386. doi: 10.1108/13552541111156504
32.
RegenerBKrempaszkyCWernerECharacterization of residual stresses by WEDM-assisted dissectioning. IOP Conference: Materials Sci & Eng. 2010; 10(1):12–78.
33.
KimHKShterenlikhtAPavierMJOn stability of a new side cut destructive method for measuring non-uniform residual stress in thin plates. Int J Solids Struct. 2016; 100–101:223–233. doi: 10.1016/j.ijsolstr.2016.08.019
34.
LuoQJonesAH.High-precision determination of residual stress of polycrystalline coatings using optimised XRD-sin 2 ψ technique. Surf Coat Technol. 2010; 205(5):1403–1408. doi: 10.1016/j.surfcoat.2010.07.108
35.
AntonyKArivazhaganNSenthilkumaranK.Numerical and experimental investigations on laser melting of stainless steel 316L metal powders. J Manuf Process. 2014; 16(3):345–355. doi: 10.1016/j.jmapro.2014.04.001
36.
LiuSZhuHPengGMicrostructure prediction of selective laser melting AlSi10Mg using finite element analysis. Mater Des. 2018; 142:319–328. doi: 10.1016/j.matdes.2018.01.022
37.
ShresthaSChouK.Computational Analysis of Thermo-Fluid Dynamics with Metallic Powder in SLM. The Minerals, Metals & Materials Series. 2018;85–95.
38.
QiuCPanwisawasCWardMOn the role of melt flow into the surface structure and porosity development during selective laser melting. Acta Mater. 2015; 96:72–79. doi: 10.1016/j.actamat.2015.06.004
39.
MohantySHattelJH.Numerical model based reliability estimation of selective laser melting process. Phys Procedia. 2014; 56:379–389. doi: 10.1016/j.phpro.2014.08.135
40.
LiJFLiLStottFH.Comparison of volumetric and surface heating sources in the modeling of laser melting of ceramic materials. Int J Heat Mass Transfer. 2004; 47(6):1159–1174. doi: 10.1016/j.ijheatmasstransfer.2003.10.002
41.
LiZLi BQBaiPResearch on the thermal behaviour of a selectively laser melted aluminium alloy: simulation and experiment. Materials (Basel). 2018; 11(7):1172–1185. doi: 10.3390/ma11071172
42.
RoySJuhaMShephardMSHeat transfer model and finite element formulation for simulation of selective laser melting. Comput Mech. 2018; 62(3):273–284. doi: 10.1007/s00466-017-1496-y
43.
TranHCLoYL.Heat transfer simulations of selective laser melting process based on volumetric heat source with powder size consideration. J Mater Process Technol. 2018; 255:411–425. doi: 10.1016/j.jmatprotec.2017.12.024
44.
DingZSunGJiangXPredictive modeling of microgrinding force incorporating phase transformation effects. J Manuf Sci Eng. 2019; 141(8):081009, doi:10.1115/1.4043839.
45.
JieYZhuHKeLA finite element model of thermal evolution in laser micro sintering. Int J Adv Manuf Technol. 2016; 83(9–12):1847–1859. doi: 10.1007/s00170-015-7609-x
46.
AlimardaniMToyserkaniEHuissoonJP.A 3D dynamic numerical approach for temperature and thermal stress distributions in multilayer laser solid freeform fabrication process. Opt Lasers Eng. 2007; 45(12):1115–1130. doi: 10.1016/j.optlaseng.2007.06.010
47.
YuGWangWCuiZNumerical and experimental study of the temperature field evolution of Mg alloy during high power diode laser surface melting. Opt – Int J Light Electron Opt. 2015; 126(7–8):739–743. doi: 10.1016/j.ijleo.2015.02.024
