A printability database can help in the selection of a printing process-alloy combination to reduce, and in some cases avoid, common defects in printed parts. The extensive testing of parts is not a viable option for determining printability because printing processes are inherently slow and expensive. Here we evaluate printability of stainless steel 316 by evaluating its susceptibilities to residual stresses, distortion, composition change and lack of fusion defects for laser (DED-L) and arc (DED-GMA) based directed energy deposition and laser powder bed fusion (PBF-L) processes using well-tested mechanistic models. Among these three processes, DED-GMA makes printed parts of 316 stainless steels most susceptible to residual stresses and distortion. High depth of penetration during DED-GMA makes components least susceptible to lack of fusion defects. Loss of volatile alloying elements from the tiny pools in PBF-L makes deposits the most vulnerable to composition change.
LippoldJC.Welding metallurgy and weldability. Hoboken (NJ): Wiley; 2014.
2.
DebRoyT, WeiHL, ZubackJS, Additive manufacturing of metallic components – process, structure and properties. Prog Mater Sci. 2018; 92:112–224. doi: 10.1016/j.pmatsci.2017.10.001
3.
MukherjeeT, ZubackJS, DeA, Printability of alloys for additive manufacturing. Sci Rep. 2016; 6:19717. doi: 10.1038/srep19717
4.
RodriguezN, VázquezL, HuarteI, Wire and arc additive manufacturing: a comparison between CMT and TopTIG processes applied to stainless steel. Weld World. 2018; 62:1083–1096. doi: 10.1007/s40194-018-0606-6
5.
KnappGL, MukherjeeT, ZubackJS, Building blocks for a digital twin of additive manufacturing. Acta Mater. 2017; 135:390–399. doi: 10.1016/j.actamat.2017.06.039
MukherjeeT, DebRoyT.A digital twin for rapid qualification of 3D printed metallic components. Appl Mater Today. 2019; 14:59–65. doi: 10.1016/j.apmt.2018.11.003
8.
XuX, MiG, LuoY, Morphologies, microstructures, and mechanical properties of samples produced using laser metal deposition with 316 L stainless steel wire. Optic Laser Eng. 2017; 94:1–11. doi: 10.1016/j.optlaseng.2017.02.008
9.
ChenX, LiJ, ChengX, Microstructure and mechanical properties of the austenitic stainless steel 316L fabricated by gas metal arc additive manufacturing. Mater Sci Eng: A. 2017; 703:567–577. doi: 10.1016/j.msea.2017.05.024
10.
ArefY, ShamsaeiN, ThompsonSM, Effects of process time interval and heat treatment on the mechanical and microstructural properties of direct laser deposited 316L stainless steel. Mater Sci Eng: A. 2015; 644:171–183. doi: 10.1016/j.msea.2015.07.056
11.
GrayGTIII, LivescuV, RiggPA, Structure/property (constitutive and spallation response) of additively manufactured 316L stainless steel. Acta Mater. 2017; 138:140–149. doi: 10.1016/j.actamat.2017.07.045
12.
ZhangK, WangS, LiuW, Characterization of stainless steel parts by laser metal deposition shaping. Mater Des. 2014; 55:104–119. doi: 10.1016/j.matdes.2013.09.006
13.
MaM, WangZ, ZengX.A comparison on metallurgical behaviors of 316L stainless steel by selective laser melting and laser cladding deposition. Mater Sci Eng A. 2017; 685:265–273. doi: 10.1016/j.msea.2016.12.112
14.
WangX, DengD, YiH, Influences of pulse laser parameters on properties of AISI316L stainless steel thin-walled part by laser material deposition. Optic Laser Technol. 2017; 92:5–14. doi: 10.1016/j.optlastec.2016.12.021
15.
BertoliUS, GussG, WuS, In-situ characterization of laser-powder interaction and cooling rates through high-speed imaging of powder bed fusion additive manufacturing. Mater Des. 2017; 135:385–396. doi: 10.1016/j.matdes.2017.09.044
16.
KhairallahSA, AndersonAT, RubenchikA, Laser powder-bed fusion additive manufacturing: Physics of complex melt flow and formation mechanisms of pores, spatter, and denudation zones. Acta Mater. 2016; 108:36–45. doi: 10.1016/j.actamat.2016.02.014
17.
ManvatkarV, DeA, DebRoyT.Heat transfer and material flow during laser assisted multi-layer additive manufacturing. J Appl Phys. 2014; 116(12):124905. doi: 10.1063/1.4896751
18.
CaiazzoF, AlfieriV.Laser-aided directed energy deposition of steel powder over flat surfaces and edges. Materials (Basel). 2018; 11(3):435. doi: 10.3390/ma11030435
19.
MukherjeeT, DebRoyT.Mitigation of lack of fusion defects in powder bed fusion additive manufacturing. J Manuf Process. 2018; 36:442–449. doi: 10.1016/j.jmapro.2018.10.028
20.
KlassenA, ScharowskyT, KörnerC.Evaporation model for beam based additive manufacturing using free surface lattice Boltzmann methods. J Phys D: Appl Phys. 2014; 47(27):275303. doi: 10.1088/0022-3727/47/27/275303
21.
SzostBA, TerziS, MartinaF, A comparative study of additive manufacturing techniques: residual stress and microstructural analysis of CLAD and WAAM printed Ti–6Al–4V components. Mater Des. 2016; 89:559–567. doi: 10.1016/j.matdes.2015.09.115
22.
YangH, YangJ, HuangW, The printability, microstructure, crystallographic features and microhardness of selective laser melted Inconel 718 thin wall. Mater Des. 2018; 156:407–418. doi: 10.1016/j.matdes.2018.07.007
23.
ForoozmehrA, BadrossamayM, ForoozmehrE, Finite element simulation of selective laser melting process considering optical penetration depth of laser in powder bed. Mater Des. 2016; 89:255–263. doi: 10.1016/j.matdes.2015.10.002
24.
MukherjeeT, WeiHL, DeA, Heat and fluid flow in additive manufacturing—part I: Modeling of powder bed fusion. Comput Mater Sci. 2018; 150:304–313. doi: 10.1016/j.commatsci.2018.04.022
25.
OuW, MukherjeeT, KnappGL, Fusion zone geometries, cooling rates and solidification parameters during wire arc additive manufacturing. Int J Heat Mass Trans. 2018; 127:1084–1094. doi: 10.1016/j.ijheatmasstransfer.2018.08.111
26.
ManvatkarV, DeA, DebRoyT.Spatial variation of melt pool geometry, peak temperature and solidification parameters during laser assisted additive manufacturing process. Mater Sci Technol. 2015; 31:924–930. doi: 10.1179/1743284714Y.0000000701
27.
MillsKC.Recommended values of thermo-physical properties for selected commercial alloys. Cambridge: Woodhead Publishing; 2002.
28.
MukherjeeT, ZhangW, DebRoyT.An improved prediction of residual stresses and distortion in additive manufacturing. Comput Mater Sci. 2017; 126:360–372. doi: 10.1016/j.commatsci.2016.10.003
29.
MukherjeeT, ZubackJS, ZhangW, Residual stresses and distortion in additively manufactured compositionally graded and dissimilar joints. Comput Mater Sci. 2018; 143:325–337. doi: 10.1016/j.commatsci.2017.11.026
30.
KnightCJ.Theoretical modeling of rapid surface vaporization with back pressure. AIAA J. 1979; 17(5):519–523. doi: 10.2514/3.61164
31.
HeX, FuerschbachP, DebRoyT.Probing temperature during laser spot welding from vapor composition and Modeling. J Appl Phys. 2003; 94:6949–6958. doi: 10.1063/1.1622118
32.
WangL, FelicelliSD, PrattP.Residual stresses in LENS-deposited AISI 410 stainless steel plates. Mater Sci Eng A. 2008; 496:234–241. doi: 10.1016/j.msea.2008.05.044
33.
ZhangH, ZhangCH, WangQ, Effect of Ni content on stainless steel fabricated by laser melting deposition. Opt Laser Technol. 2018; 101:363–371. doi: 10.1016/j.optlastec.2017.11.032
34.
LiR, ShiY, WangZ, Densification behavior of gas and water atomized 316L stainless steel powder during selective laser melting. Appl Surf Sci. 2010; 256:4350–4356. doi: 10.1016/j.apsusc.2010.02.030
35.
DingJ, ColegroveP, MehnenJ, Thermo-mechanical analysis of wire and arc additive layer manufacturing process on large multi-layer parts. Comput Mater Sci. 2011; 50(12):3315–3322.
