Selection of Optimal Process Parameters to Obtain Defect-Free Builds in IN718 Made by Laser Powder Bed Fusion
Source abstract
Abstract
This study investigates the effect of four major process variables viz. laser power, scanning speed, hatch distance and powder bed thickness on the densification behavior of Inconel 718 (IN718), with a view to obtain defect free builds during laser powder bed fusion (L-PBF) process. In order to determine the causes of defect generation, samples with different process variables were printed and examined microstructurally. Samples printed as per Taguchi’s L9 orthogonal array have exhibited different types of microscopic defects such as porosity, lack of fusion (LOF) and cracks. Based on detailed study, the optimized process parameters for obtaining defect free IN718 builds were found to be with a laser power of 320 W at a scanning speed of 850 mm/s and a hatch distance of 0.11 mm. LOF and un-melted tracks have formed at low volume energy density (VED) while porosity was found at high VED values. Cracks are most evident in XZ plane, and the formation of such cracks is high at high laser power and scanning speed. Although VED represents the energy input to the process, it should no longer be considered a process parameter, as multiple combinations of input process variables with different performance characteristics can result in the same value. This aspect has been demonstrated in this paper with experimental data. A Modified Taguchi’s approach has been followed in this study to develop empirical relationships to the performance characteristics (density), in terms of process variables and demonstrated their validity through comparison of test data. The method suggests few tests as per the orthogonal array and provides complete information for all combinations of levels and process variables. This method also provides the estimated range of output responses so that the scatter in the repeated tests can be assessed prior to the tests.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Additive Manufacturing Materials and Processes · Additive Manufacturing and 3D Printing Technologies · Manufacturing Process and Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (43)
Show source-provided references
1. T.A. Rodrigues, F.W.C. Farias, A. Kaiping Zhang, J.S. Shamsolhodaei, N. Zhou, N. Schell, E. Jan Capek, T.G. Polatidis, and J.P.O. Santos, Wire and Arc Additive Manufacturing of 316L Stainless Steel/Inconel 625 Functionally Graded Material: Development and Characterization, J. Mater. Res. Technol., 2022, 21, p 237–251. https://doi.org/10.1016/j.jmrt.2022.08.16910.1016/j.jmrt.2022.08.169 ↗
2. S. Li, J.Y. Li, Z.W. Jiang, Y. Cheng, Y.Z. Li, S. Tang, J.Z. Leng, H.X. Chen, Y. Zou, Y.H. Zhao, J.P. Oliveira, Y. Zhang, and K.H. Wang, Controlling the Columnar-to-Equiaxed Transition during Directed Energy Deposition of Inconel 625, Addit. Manuf., 2022, 57, p 102958.
3. M. Alizadeh-Sh, S.P.H. Marashi, E. Ranjbarnodeh, R. Shoja-Razavi, and J.P. Oliveira, Prediction of Solidification Cracking by an Empirical-Statistical Analysis for Laser Cladding of Inconel 718 Powder on a Non-Weldable Substrate, Opt. Laser Technol., 2020, 128, p 106244.10.1016/j.optlastec.2020.106244 ↗
4. S. Sanchez, P. Smith, Z. Xu, G. Gaspard, C.J. Hyde, W.W. Wits, I.A. Ashcroft, H. Chen, and A.T. Clare, Powder Bed Fusion of Nickel-Based Superalloys: A Review, Int. J. Mach. Tools Manuf., 2021, 165, p 103729.10.1016/j.ijmachtools.2021.103729 ↗
5. V. Praveen Kumar and A. Vinoth Jebaraj, Microscale Investigations on Additively Manufactured Inconel 718: Influence of Volumetric Energy Density on Microstructure Texture Evolution, Defects Control and Residual Stress, Appl. Phys. A Mater. Sci. Process., 2023, 129(5), p 1–17. https://doi.org/10.1007/S00339-023-06642-W/FIGURES/1410.1007/S00339-023-06642-W/FIGURES/14 ↗
6. M. Badrossamay, A. Rezaei, E. Foroozmehr, A. Maleki, and A. Foroozmehr, Effects of Increasing Powder Layer Thickness on the Microstructure, Mechanical Properties, and Failure Mechanism of IN718 Superalloy Fabricated by Laser Powder Bed Fusion, Int. J. Adv. Manuf. Technol., 2022, 118(5), p 1703–1717. https://doi.org/10.1007/s00170-021-07719-710.1007/s00170-021-07719-7 ↗
7. A. Rosochowski, L. Olejnik, and M. Rosochowska, Tailored Sheared Blanks Produced by Incremental ECAP, Key Eng. Mater., 2015, 651–653, p 651–656. https://doi.org/10.4028/WWW.SCIENTIFIC.NET/KEM.651-653.65110.4028/WWW.SCIENTIFIC.NET/KEM.651-653.651 ↗
8. S.V.S. Narayana Murty and B. Nageswara Rao, On the Development of Instability Criteria during Hotworking with Reference to IN 718, Mater. Sci. Eng. A, 1998, 254(1–2), p 76–82. https://doi.org/10.1016/S0921-5093(98)00764-310.1016/S0921-5093(98)00764-3 ↗
9. M. Godec, S. Malej, D. Feizpour, Č Donik, M. Balažic, D. Klobčar, L. Pambaguian, M. Conradi, and A. Kocijan, Hybrid Additive Manufacturing of Inconel 718 for Future Space Applications, Mater. Charact., 2021, 172, p 110842. https://doi.org/10.1016/j.matchar.2020.11084210.1016/j.matchar.2020.110842 ↗
10. A. Haghighi, Smart Process-Aware Tolerance Design and Quality Assurance for Additive and Hybrid Manufacturing, University of Illinois at Chicago, 2020
11. L. Scime and J. Beuth, Melt Pool Geometry and Morphology Variability for the Inconel 718 Alloy in a Laser Powder Bed Fusion Additive Manufacturing Process, Addit. Manuf., 2019, 29, p 100830.
12. S. Mannan and B. Puckett, “Physical Metallurgy of Alloys 718, 925, 725, and 725HS for Service in Aggressive Corrosion Environments,” CORROSION 2003, 2003, p NACE-03126.
13. F. Caiazzo, V. Alfieri, and G. Casalino, On the Relevance of Volumetric Energy Density in the Investigation of Inconel 718 Laser Powder Bed Fusion, Materials, 2020, 13(3), p 538. https://doi.org/10.3390/ma1303053810.3390/ma13030538 ↗
14. J.P. Oliveira, A.D. LaLonde, and J. Ma, Processing Parameters in Laser Powder Bed Fusion Metal Additive Manufacturing, Mater. Des., 2020, 193, p 108762.10.1016/j.matdes.2020.108762 ↗
15. T. DebRoy, H.L. Wei, J.S. Zuback, T. Mukherjee, J.W. Elmer, J.O. Milewski, A.M. Beese, A. Wilson-Heid, A. De, and W. Zhang, Additive Manufacturing of Metallic Components – Process, Struct. Prop. Prog. Mater. Sci., 2018, 92, p 112–224. https://doi.org/10.1016/J.PMATSCI.2017.10.00110.1016/J.PMATSCI.2017.10.001 ↗
16. H.Z. Jiang, Z.Y. Li, T. Feng, P.Y. Wu, Q.S. Chen, Y.L. Feng, S.W. Li, H. Gao, and H.J. Xu, Factor Analysis of Selective Laser Melting Process Parameters with Normalised Quantities and Taguchi Method, Opt. Laser Technol., 2019, 119, p 105592. https://doi.org/10.1016/j.optlastec.2019.10559210.1016/j.optlastec.2019.105592 ↗
17. P. Ferro, R. Meneghello, G. Savio, and F. Berto, A Modified Volumetric Energy Density-Based Approach for Porosity Assessment in Additive Manufacturing Process Design, Int. J. Adv. Manuf. Technol., 2020, 110(7–8), p 1911–1921. https://doi.org/10.1007/S00170-020-05949-9/TABLES/210.1007/S00170-020-05949-9/TABLES/2 ↗
18. Z. Sun, X. Tan, S.B. Tor, and W.Y. Yeong, Selective Laser Melting of Stainless Steel 316L with Low Porosity and High Build Rates, Mater. Des., 2016, 104, p 197–204. https://doi.org/10.1016/j.matdes.2016.05.03510.1016/j.matdes.2016.05.035 ↗
19. J. Ciurana, L. Hernandez, and J. Delgado, Energy Density Analysis on Single Tracks Formed by Selective Laser Melting with CoCrMo Powder Material, Int. J. Adv. Manuf. Technol., 2013, 68(5–8), p 1103–1110. https://doi.org/10.1007/S00170-013-4902-4/METRICS10.1007/S00170-013-4902-4/METRICS ↗
20. K.G. Prashanth, S. Scudino, T. Maity, J. Das, and J. Eckert, Is the Energy Density a Reliable Parameter for Materials Synthesis by Selective Laser Melting?, Mater. Res. Lett., 2017, 5(6), p 386–390. https://doi.org/10.1080/21663831.2017.129980810.1080/21663831.2017.1299808 ↗
21. H.J. Willy, X. Li, Z. Chen, T.S. Herng, S. Chang, C.Y.A. Ong, C. Li, and J. Ding, Model of Laser Energy Absorption Adjusted to Optical Measurements with Effective Use in Finite Element Simulation of Selective Laser Melting, Mater. Des., 2018, 157, p 24–34. https://doi.org/10.1016/J.MATDES.2018.07.02910.1016/J.MATDES.2018.07.029 ↗
22. J.A. Cherry, H.M. Davies, S. Mehmood, N.P. Lavery, S.G.R. Brown, and J. Sienz, Investigation into the Effect of Process Parameters on Microstructural and Physical Properties of 316L Stainless Steel Parts by Selective Laser Melting, Int. J. Adv. Manuf. Technol., 2014, 76(5), p 869–879. https://doi.org/10.1007/S00170-014-6297-210.1007/S00170-014-6297-2 ↗
23. L.C. Zhang and H. Attar, Selective Laser Melting of Titanium Alloys and Titanium Matrix Composites for Biomedical Applications: A Review, Adv. Eng. Mater., 2016, 18(4), p 463–475. https://doi.org/10.1002/ADEM.20150041910.1002/ADEM.201500419 ↗
24. H. Attar, M. Calin, L.C. Zhang, S. Scudino, and J. Eckert, Manufacture by Selective Laser Melting and Mechanical Behavior of Commercially Pure Titanium, Mater. Sci. Eng. A, 2014, 593, p 170–177.10.1016/j.msea.2013.11.038 ↗
25. X. Fang, W. Xia, Q. Wei, Y. Wu, W. Lv, and W. Guo, Preparation of Cu-Cr-Zr Alloy by Laser Powder Bed Fusion: Parameter Optimization, Microstruct. Mech. Therm. Propert. Microelectron. Appl., 2021, 11(9), p 1410. https://doi.org/10.3390/MET1109141010.3390/MET11091410 ↗
26. C. Arvieu, C. Galy, E. Le Guen, and E. Lacoste, Relative Density of SLM-Produced Aluminum Alloy Parts: Interpretation of Results, J. Manuf. Mater. Process., 2020, 4(3), p 83. https://doi.org/10.3390/jmmp403008310.3390/jmmp4030083 ↗
27. P. Ross, Taguchi Techniques for Quality Engineering: Loss Function, Orthogonal Experiments, Parameter and Tolerance Design, 1996, http://www.sidalc.net/cgi-bin/wxis.exe/?IsisScript=AGRIUAN.xis&method=post&formato=2&cantidad=1&expresion=mfn=023554. Accessed 20 Apr 2022.
28. K. Rajyalakshmi and B. Nageswara Rao, Expected Range of the Output Response for the Optimum Input Parameters Utilizing the Modified Taguchi Approach, Multidiscip. Model. Mater. Struct., 2019, 15(2), p 508–522.10.1108/MMMS-05-2018-0088 ↗
29. G. Satyanarayana, K.L. Narayana, and B. Nageswara Rao, Optimal Laser Welding Process Parameters and Expected Weld Bead Profile for P92 Steel, SN Appl. Sci., 2019, 1(10), p 1–11. https://doi.org/10.1007/S42452-019-1333-3/TABLES/810.1007/S42452-019-1333-3/TABLES/8 ↗
30. B.V. Dharmendra, S.P. Kodali, and B. Nageswara Rao, Multi-Objective Optimization for Optimum Abrasive Water Jet Machining Process Parameters of Inconel718 Adopting the Taguchi Approach, Multidiscip. Model. Mater. Struct., 2020, 16(2), p 306–321.
31. B.V. Dharmendra, S.P. Kodali, and B. Nageswara Rao, A Simple and Reliable Taguchi Approach for Multi-Objective Optimization to Identify Optimal Process Parameters in Nano-Powder-Mixed Electrical Discharge Machining of INCONEL800 with Copper Electrode, Heliyon, 2019, 5(8), p e02326. https://doi.org/10.1016/j.heliyon.2019.e0232610.1016/j.heliyon.2019.e02326 ↗
32. A. Hussein, L. Hao, C. Yan, and R. Everson, Finite Element Simulation of the Temperature and Stress Fields in Single Layers Built Without-Support in Selective Laser Melting, Mater. Des. (1980–2015), 2013, 52, p 638–647.10.1016/j.matdes.2013.05.070 ↗
33. L. Thijs, K. Kempen, J.P. Kruth, and J. van Humbeeck, Fine-Structured Aluminium Products with Controllable Texture by Selective Laser Melting of Pre-alloyed AlSi10Mg Powder, Acta Mater., 2013, 61(5), p 1809–1819.10.1016/j.actamat.2012.11.052 ↗
34. T. Aboulkhair, N. Everitt, I. Ashcroft, and C. Tuck, Reducing Porosity in AlSi 10 Mg Parts Processed by Selective Laser Melting, Addit. Manuf., 2014, 1, p 77–86.
35. D. Gu, Y.C. Hagedorn, W. Meiners, G. Meng, R.J.S. Batista, K. Wissenbach, and R. Poprawe, Densification Behavior Microstructure Evolution, and Wear Performance of Selective Laser Melting Processed Commercially Pure Titanium, Acta Mater., 2012, 60(9), p 3849–3860.10.1016/j.actamat.2012.04.006 ↗
36. H.K. Rafi, N.V. Karthik, H. Gong, T.L. Starr, and B.E. Stucker, Microstructures and Mechanical Properties of Ti6Al4V Parts Fabricated by Selective Laser Melting and Electron Beam Melting, J. Mater. Eng. Perform., 2013, 22(12), p 3872–3883. https://doi.org/10.1007/S11665-013-0658-010.1007/S11665-013-0658-0 ↗
37. T.A. Rodrigues, V.R. Duarte, R.M. Miranda, T.G. Santos, and J.P. Oliveira, Ultracold-Wire and Arc Additive Manufacturing (UC-WAAM), J. Mater. Process Technol., 2021, 296, p 117196.10.1016/j.jmatprotec.2021.117196 ↗
38. X. Zuo, W. Zhang, Y. Chen, J.P. Oliveira, Z. Zeng, Y. Li, Z. Luo, and S. Ao, Wire-Based Directed Energy Deposition of NiTiTa Shape Memory Alloys: Microstructure Phase Transformation Electrochemistry, X-ray Visibility and Mechanical Properties, Addit. Manuf., 2022, 59, p 103115.
39. N. Eschner, L. Weiser, B. Häfner, and G. Lanza, Classification of Specimen Density in Laser Powder Bed Fusion (L-PBF) Using in-Process Structure-Borne Acoustic Process Emissions, Addit. Manuf., 2020, 34, p 101324. https://doi.org/10.1016/J.ADDMA.2020.10132410.1016/J.ADDMA.2020.101324 ↗
40. J. Guzmán, R.D.M. Nobre, E.R. Nunes, D.L. Bayerlein, R.B. Falcão, E. Sallica-Leva, J.B.F. Neto, H.R. Oliveira, V.L. Chastinet, and F.J.G. Landgraf, Laser Powder Bed Fusion Parameters to Produce High-Density Ti-53%Nb Alloy Using Irregularly Shaped Powder from Hydride-Dehydride (HDH) Process, J. Market. Res., 2021, 10, p 1372–1381. https://doi.org/10.1016/J.JMRT.2020.12.08410.1016/J.JMRT.2020.12.084 ↗
41. P.R. Zagade, B.P. Gautham, A. De, and T. DebRoy, Scaling Analysis for Rapid Estimation of Lack of Fusion Porosity in Laser Powder Bed Fusion, Sci. Technol. Weld. Join., 2023, 28(5), p 372–380. https://doi.org/10.1080/13621718.2022.216483010.1080/13621718.2022.2164830 ↗
42. W.J. Sames, F.A. List, S. Pannala, R.R. Dehoff, and S.S. Babu, The Metallurgy and Processing Science of Metal Additive Manufacturing, Int. Mater. Rev., 2016, 61(5), p 315–360. https://doi.org/10.1080/09506608.2015.111664910.1080/09506608.2015.1116649 ↗
43. W.J. Sames, F. Medina, W.H. Peter, S.S. Babu, and R.R. Dehoff, Effect of Process Control and Powder Quality on Inconel 718 Produced Using Electron Beam Melting. In 8th International Symposium on Superalloy 718 and Derivatives 2014, Wiley, 2014, p 409–423, https://doi.org/10.1002/9781119016854.CH3210.1002/9781119016854.CH32 ↗