Abstract
Metal additive manufacturing is an active field of innovation. However, for laser power bed fusion (LPBF), supports removal is a major constraint. In this technology, supports are strongly welded to the part to tightly maintain it, avoid distortion, and evacuate thermal load. Although supports are usually optimized for manual removal, machining is often necessary, which can affect post-processing productivity. This paper proposes a comprehensive methodological approach to optimize the selection of cutting parameters, cutting tools, and support structure for LPBF. The aim is to help additive manufacturers find supports that reduce machining costs in terms of time and cutting tool degradation, from among the numerous support designs available. This approach can also optimize the design of lattice structures used inside parts. Our results show that among the 11 designs tested, honeycomb and squared pattern grid supports are the most efficiently machined using the 8-teeth tangential milling of the 3 tools tested, with a good post-machined surface roughness and tools’ health. The method considers low magnification optical analysis and an accelerometer sensor, which is easy to use even for small- and medium-sized enterprises. This paper also proposes and analyzes a new kind of porous support using this method.
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References
Levy GN, Schindel R, Kruth J-P (2003) Rapid manufacturing and rapid tooling with layer manufacturing (LM) technologies, state of the art and future perspectives. CIRP Ann 52(2):589–609
Kruth J-P, Mercelis P, Van Vaerenbergh J, Froyen L, Rombouts M (2005) Binding mechanisms in selective laser sintering and selective laser melting. Rapid Prototyp J 11(1):26–36
Gibson I, Rosen D, Stucker B (2021) Additive manufacturing technologies, 3rd edn. Springer
Pessard E, Mognol P, Hascoët J-Y, Gerometta C (2008) Complex cast parts with rapid tooling: rapid manufacturing point of view. Int J Adv Manuf Technol 39:898–904
Kranz J, Herzog D, Emmelmann C (2015) Design guidelines for laser additive manufacturing of lightweight structures in TiAl6V4. J Laser Appl 27(S1):S14001
Kruth J-P, Froyen L, Vaerenbergh V, Mercelis P, Rombouts M, Lauwers B (2004) Selective laser melting of iron-based powder. J Mater Process Technol 149(1–3):616–622
Meiners W, Wissenbach K, Poprawe R (1997) Direct selective laser sintering of steel powder, Proceedings of the LANE’97, vol 97, pp 615–622
Das S, Beaman JJ (2004) Direct selective laser sintering of metals, US6676892
Yap CY, Chua CK, Dong ZL, Liu ZH, Zhang DQ, Loh LE, Sing SL (2015) Review of selective laser melting: materials and applications. Appl Phys Rev 2:041101
ISO/ASTM 52911–1:2019, Additive manufacturing - design - part 1: laser-based powder bed fusion of metals
Jiang J, Xu X, Stringer J (2018) Support structures for additive manufacturing: a review. J Manuf Mater Process 2(4):64
Mazur M, Leary M, Sun S, Vcelka M, Shidid D, Brandt M (2016) Deformation and failure behavior of Ti-6Al-4V lattice structures manufactured by selective laser melting (SLM). Int J Adv Manuf Technol 84:1391–1411
Maconachie T, Leary M, Lozanovski B, Zhang X, Qian M, Faruque O, Brandt M (2019) SLM lattice structures: properties, performance, applications and challenges. Mater Des 183:108137
Hanks B, Berthel J, Frecker M, Simpson TW (2020) Mechanical properties of additively manufactured metal lattice structures: data review and design interface. Addit Manuf 35:101301
Bobbio LD, Qin S, Dunbar A, Michaleris P, Beese AM (2017) Characterization of the strength of support structures used in powder bed fusion additive manufacturing of Ti-6Al-4V. Addit Manuf 14:60–68
Günaydın AC, Yıldız AR, Kaya N (2022) Multi-objective optimization of build orientation considering support structure volume and build time in laser powder bed fusion. Materials Testing 64(3):323–338
Höller C, Hinterbuchner T, Schwemberger P, Zopf P, Pichler R, Haas F (2019) Direct Machining of selective laser melted components with optimized support structures. Procedia CIRP 81:375–380
McConahaa M, Venugopala V, Ananda S (2020) Integration of machine tool accessibility of support structures with topology optimization for additive manufacturing, 48th SME North American Manufacturing Research Conference (NAMRC), vol. 47, pp 634–642
Qiu K, Ming W, Shen L, Chen QM (2017) Study on the cutting force in machining of aluminum honeycomb core material. Compos Struct 164:58–67
Bram M, Kempmann C, Laptev A, Stöver D, Weinert K (2003) Investigations on the machining of sintered titanium foams utilizing face milling and peripheral grinding. Adv Eng Mater 5(6):441–447
Tripathi V, Armstrong A, Gong X, Manogharan G, Simpson T, De Meter E (2018) Milling of Inconel 718 block supports fabricated using laser power bed fusion. J Manuf Process 34:740–749
De Meter E, Chow KH, Marsh E (2019) Methodology of using PAAW and the underlying support network of an L-PBF part to facilitate machining. Procedia Manuf 34:463–474
Hintze W, Schötz R, Mehnen J, Köttner L, Möller C (2018) Helical milling of bore holes in Ti6Al4V parts produced by selective laser melting with simultaneous support structure removal. Procedia Manuf 18:89–96
Hintze W, von Wenserski R, Junghans S, Möller C (2020) Finish machining of Ti6Al4V SLM components under consideration of thin walls and support structure removal. Procedia Manuf 48:485–491
Cao Q, Bai Y, Zhang J, Shi Z, Fuh JYH, Wang H (2020) Removability of 316L stainless steel cone and block support structures fabricated by selective laser melting (SLM). Mater Des 191:108691
Cao Q, Shi Z, Bai Y, Zhang J, Zhao C, Fuh JYH, Wang H (2021) A novel method to improve the removability of cone support structures in selective laser melting of 316L stainless steel. J Alloy Compd 854:157133
Benoist V, Arnaud L, Baili M (2020) A new method of design for additive manufacturing including machining constraints. Int J Adv Manuf Technol 111:25–36
Barrett RA, Etienne T, Duddy C, Harrison NM (2017) Residual stress prediction in a powder bed fusion manufactured Ti6Al4V hip stem. AIP Conf Proc 1896:040018
Johnson GR, Cook WH (1983) A constitutive model and data for metals subjected to large strains, high strain rates and high temperatures, Proc. of the 7th International Symposium on Ballistics, The Hague, pp 541–547
Johnson GR, Cook WH (1985) Fracture characteristics of three metals subjected to various strain, strain rates, temperatures and pressures. Eng Fract Mech 21(1):31–48
Wilson-Heida AE, Beese AM (2019) Fracture of laser powder bed fusion additively manufactured Ti–6Al–4V under multiaxial loading: calibration and comparison of fracture models. Mater Sci Eng A 761:137967
Zhang Y, Outeiro JC, Mabrouki T (2015) On the selection of Johnson-Cook constitutive model parameters for Ti-6Al-4V using three types of numerical models of orthogonal cutting. Procedia CIRP 31:112–117
Rakotomalala R, Joyot P, Touratier M (1993) Arbitrary Lagrangian-Eulerian thermomechanical finite-element model of material cutting. Commun Numer Methods Eng 9(12):975–987
Pantalé O, Bacaria J-L, Dalverny O, Rakotomalala R, Caperaa S (2004) 2D and 3D numerical models of metal cutting with damage effects. Comput Methods Appl Mech Engrg 193(39–41):4383–4399
Egaña A, Rech J, Arrazola PJ (2012) Characterization of friction and heat partition coefficients during machining of a TiAl6V4 titanium alloy and a cemented carbide. Tribol Trans 55(5):665–676
Acknowledgements
The authors would like to thank the technical service of Cousso and Mr. J.-P. Garreau for their technical and financial assistance, as well as Mr. E. Gervais from Horn company for his help in selecting cutting tools and cutting conditions.
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“Région Occitanie” provided financial support to the CEF3D Mutualized Structure Research platform. This work was carried out within the technical service of Cousso.
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Benoist, V., Baili, M. & Arnaud, L. Optimization of the machining of metallic additive manufacturing supports: first methodological approach. Int J Adv Manuf Technol 131, 675–687 (2024). https://doi.org/10.1007/s00170-023-11529-4
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DOI: https://doi.org/10.1007/s00170-023-11529-4