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Powder bed fusion integrated product and process design for additive manufacturing: a systematic approach driven by simulation

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Abstract

This paper presents a computer-based methodology to support the design for additive manufacturing of metal components. Metal additive manufacturing, and in particular powder bed fusion systems, are playing a prominent role in the industry 4.0 scenario. The state of the art concerning design methods and tools to support design for additive manufacturing is reviewed by the authors. The key phases of product design and process design to achieve lightweight functional designs and reliable processes are deepened, and the computer-aided technologies to support the approaches implementation are described. Indeed, the state of the art design for additive manufacturing general workflow can be enriched by holistic approaches, use of numerical simulation, and integration and automation between the required tasks. The paper provides a methodology based on the systematic use of numerical simulation to achieve the optimization of both products and associated processes. To take advantage of the holistic perspective, the approach relies on the use of integrated product-process design platforms, allowing to streamline the digital process chain. Product design is based on the systematic integration of topology optimization and automatized tools for concept development and selection and subsequent product simulation driven design refinement. Process design is based on a systematic use of process simulation to prevent manufacturing flaws related to the high thermal gradients of metal processes and minimize residual stress and deformations. This is achieved by working on both the build cycles layouts and the 3D models’ distortion compensation. An automotive use case of product and process design performed through the proposed simulation-driven integrated approach is provided to assess the actual method suitability for effective re-designs of additive manufacturing high-performance metal products. The bridged gaps are systematically outlined, and further developments are discussed.

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References

  1. Milewski J (2017) Additive manufacturing of metals: from fundamental technology to rocket nozzles, medical implants, and custom jewelry. Springer, New York. https://doi.org/10.1007/978-3-319-58205-4

    Book  Google Scholar 

  2. Rüßmann M, Lorenz M, Gerbert P, Waldner M, Justus J, Engel P, Harnisch M (2015) Industry 4.0: the future of productivity and growth in manufacturing industries. Boston Consult Group 9:54–89

    Google Scholar 

  3. Butt J (2020) Exploring the interrelationship between additive manufacturing and industry 4.0. Designs 4:13. https://doi.org/10.3390/designs4020013

    Article  Google Scholar 

  4. Ceulemans J, Ménière Y, Nichogiannopoulou A, Rodríguez JP, Rudyk I (2020) Patents and additive manufacturing. European Patent Office, EPO, Munich. https://link.epo.org/web/additive_manufacturing_study_en.pdf

  5. Schmitt P, Zorn S, Gericke K (2021) Additive manufacturing research landscape: a literature review. Proc Des Soc 1:333–344. https://doi.org/10.1017/pds.2021.34

  6. Wohlers TT (2021) Wohlers Report 2021: 3D Printing and Additive Manufacturing Global State of the Industry. Wohlers Associates, Incorporated. https://doi.org/10.1017/pds.2021.34

    Book  Google Scholar 

  7. Dilberoglu U, Gharehpapagh B, Yaman U, Dolen M (2017) The Role of Additive Manufacturing in the Era of Industry 4.0. Proc Manuf 11:545–554. https://doi.org/10.1016/j.promfg.2017.07.148

    Article  Google Scholar 

  8. 3D Printing Market Size and Share Report, 2022-2030 (2022) Grand View Research,San Francisco. https://www.grandviewresearch.com/industry-analysis/3d-printing-industry-analysis

  9. Gao W, Zhang Y, Ramanujan D, Ramani K, Chen Y, Williams C, Wang C, Shin Y, Zhang S, Zavattieri P (2015) The status, challenges, and future of additive manufacturing in engineering. CAD Comput Aided Des 66:65–89. https://doi.org/10.1016/j.cad.2015.04.001

    Article  Google Scholar 

  10. Ngo TD, Kashani A, Imbalzano G, Nguyen KT, Hui D (2018) Additive manufacturing (3D printing): a review of materials, methods, applications and challenges. Compos Part B 143:172–196. https://doi.org/10.1016/j.compositesb.2018.02.012

    Article  CAS  Google Scholar 

  11. ISO/ASTM Standard No. 52900 (2021) Additive manufacturing general principles-terminology. International Organization for Standardization

    Google Scholar 

  12. ASTM F2792-12a (2012) Standard terminology for additive manufacturing technologies. ASTM International, West Conshohocken, PA

    Google Scholar 

  13. High quality industrial metal 3D printers, SLM solutions. https://www.slm-solutions.com/products-and-solutions/machines/. Accessed 25 Sept 2023

  14. High precision industrial 3D printers, EOS. https://www.eos.info/en/industrial-3d-printer. Accessed 25 Sept 2023

  15. DMLM Technology, GE additive. https://www.ge.com/additive/direct-metal-laser-melting. Accessed 25 Sept 2023

  16. Best industrial metal and plastics 3D printers, 3d Systems. https://www.3dsystems.com/3d-printers. Accessed 25 Sept 2023

  17. Sun S, Brandt M, Easton M (2017) Powder bed fusion processes: an overview. In: Woodhead Publishing Series in electronic and optical materials, laser additive manufacturing. Woodhead Publishing, pp 55–77. https://doi.org/10.1016/B978-0-08-100433-3.00002-6

    Chapter  Google Scholar 

  18. Liu C, Le Roux L, Körner C, Tabaste O, Lacan F, Bigot S (2020) Digital twin-enabled collaborative data management for metal additive manufacturing systems. J Manuf Syst 62. https://doi.org/10.1016/j.jmsy.2020.05.010

  19. Thompson M, Moroni G, Vaneker T, Fadel G, Campbell R, Gibson I, Bernard A, Schulz J, Graf P, Ahuja B, Martina F (2016) Design for additive manufacturing: trends, opportunities, considerations, and constraints. CIRP Ann Manuf Technol 65:737–760. https://doi.org/10.1016/j.cirp.2016.05.004

    Article  Google Scholar 

  20. Vaneker T, Bernard A, Moroni G, Gibson I, Zhang Y (2020) Design for additive manufacturing: framework and methodology. CIRP Ann 69(2):578–599. https://doi.org/10.1016/j.cirp.2020.05.006

    Article  Google Scholar 

  21. Bourell DL, Leu MC, Rosen DW (2009) Roadmap for additive manufacturing identifying the future of freeform processing. University of Texas for Freeform Fabrication Advanced Manufacturing Center, Austin

  22. Gibson I, Rosen D, Stucker B (2015) Additive manufacturing technologies: 3D printing, rapid prototyping, and direct digital manufacturing. Springer, New York, NY, USA. https://doi.org/10.1007/978-1-4939-2113-3

    Book  Google Scholar 

  23. Kumke M, Watschke H, Vietor T (2016) A newmethodological framework for design for additive manufacturing. Virtual Phys Prototyp 11:3–19. https://doi.org/10.1080/17452759.2016.1139377

    Article  Google Scholar 

  24. Pradel P, Zhu Z, Bibb R, Moultrie J (2018) A framework for mapping design for additive manufacturing knowledge for industrial and product design. J Eng Des 29(6):291–326. https://doi.org/10.1080/09544828.2018.1483011

    Article  Google Scholar 

  25. Wiberg A, Persson J, Ölvander J (2019) Design for additive manufacturing – a review of available design methods and software. Rapid Prototyp J 25(6):1080–1094. https://doi.org/10.1108/RPJ-10-2018-0262

    Article  Google Scholar 

  26. ISO/ASTM 52910:2018 (2018) Additive manufacturing — design — requirements, guidelines and recommendations. International Organization for Standardization

    Google Scholar 

  27. Durakovic B (2018) Design for additive manufacturing: benefits, trends and challenges. Period Eng Nat Sci 6:179–191. https://doi.org/10.21533/pen.v6i2.224

    Article  Google Scholar 

  28. Alfaify A, Saleh M, Abdullah FM, Al-Ahmari AM (2020) Design for additive manufacturing: a systematic review. Sustainability (Switzerland) 12(19):7936. https://doi.org/10.3390/su12197936

    Article  Google Scholar 

  29. Mostafaei A, Zhao C, He Y, Ghiaasiaan S, Bo S, Shao S, Shamsaei N, Wu Z, Kouraytem N, Sun T, Pauza J, Gordon J, Webler B, Parab N, Asherloo M, Guo Q, Chen L, Rollett A (2022) Defects and anomalies in powder bed fusion metal additive manufacturing. Curr Opinion Solid State Mater Sci 26:100974. https://doi.org/10.1016/j.cossms.2021.100974

    Article  CAS  ADS  Google Scholar 

  30. Nyamekye P, Golroudbary SR, Piili H, Luukka P, Kraslawski A (2023) Impact of additive manufacturing on titanium supply chain: case of titanium alloys in automotive and aerospace industries. Adv Ind Manuf 6:100112

    Google Scholar 

  31. Dalpadulo E, Pini F, Leali F (2020) Integrated CAD platform approach for design for additive manufacturing of high performance automotive components. Int J Interact Des Manuf 14:899–909. https://doi.org/10.1016/j.aime.2023.100112

    Article  Google Scholar 

  32. Gunasegaram D, Murphy A, Matthews M, Debroy T (2021) The case for digital twins in metal additive manufacturing. J Phys Mater 4:40401. https://doi.org/10.1088/2515-7639/ac09fb

    Article  Google Scholar 

  33. Razvi S, Feng S, Lee Y, Witherell P, Narayanan A (2019) A review of machine learning applications in Additive manufacturing. Proceedings of the ASME 2019 IDETC/CIE, pp 98415. https://doi.org/10.1115/DETC2019-98415

  34. Feng S, Moges T, Park H, Yakout M, Jones A, Ko H, Witherell P (2022) Functional requirements of software tools for laser-based powder bed fusion additive manufacturing for metals. J Comput Inf Sci Eng 23:1–18. https://doi.org/10.1115/1.4054933

    Article  Google Scholar 

  35. Lopez L, Maury H, Pacheco J (2021) Design for additive manufacturing: a comprehensive review of the tendencies and limitations of methodologies. Rapid Prototyp J. https://doi.org/10.1108/RPJ-11-2019-0296

  36. Plocher J, Panesar A (2019) Review on design and structural optimisation in additive manufacturing: towards next-generation lightweight structures. Mater Des 183:108164. https://doi.org/10.1016/j.matdes.2019.108164

    Article  Google Scholar 

  37. Fuchs D, Bartz R, Kuschmitz S, Vietor T (2022) Necessary advances in computer-aided design to leverage on additive manufacturing design freedom. Int J Interact Des Manuf 16. https://doi.org/10.1007/s12008-022-00888-z

  38. Sotomayor N, Caiazzo F, Alfieri V (2021) Enhancing design for additive manufacturing workflow: optimization, design and simulation tools. Appl Sci 11:6628. https://doi.org/10.3390/app11146628

    Article  CAS  Google Scholar 

  39. Reddy SN, Ferguson I, Frecker M, Simpson TW, Dickman CJ (2016) Topology optimization software for additive manufacturing: a review of current capabilities and a real-world example. In: Volume 2A: 42nd design automation conference. American Society of Mechanical Engineers, Charlotte, NC, USA. https://doi.org/10.1115/DETC2016-59718

    Chapter  Google Scholar 

  40. Francois MM, Sun A, King WE, Henson NJ, Tourret D, Bronkhorst CA, Carlson NN, Newman CK, Haut T, Bakosi J, Gibbs JW, Livescu V, Vander Wiel SA, Clarke AJ, Schraad MW, Blacker T, Lim H, Rodgers T, Owen S et al (2017) Modeling of additive manufacturing processes for metals: challenges and opportunities. Curr Opinion Solid State Mater Sci 21(4):198–206. https://doi.org/10.1016/j.cossms.2016.12.001

    Article  CAS  ADS  Google Scholar 

  41. Reiher T, Vogelsang S, Koch R (2020) Computer integration for geometry generation for product optimisation with additive manufacturing. In: Solid freeform fabrication 2017: proceedings of the 28th annual international solid freeform fabrication symposium - an additive manufacturing conference, SFF 2017. The University of Texas at Austin, pp 903–921

    Google Scholar 

  42. Dalpadulo E, Petruccioli A, Pini F, LEALI F (2022) Synergic product and process design for additive fabrication of lightweight vehicles. SAE Technical Paper 2022-37-0028. https://doi.org/10.4271/2022-37-0028

    Book  Google Scholar 

  43. Li C, Liu ZY, Fang XY, Guo YB (2018) Residual stress in metal additive manufacturing, Proc. of 4th CIRP conference on surface integrity, CIRP CSI 2018. Procedia CIRP 71:348–353. https://doi.org/10.1016/j.procir.2018.05.039

    Article  Google Scholar 

  44. Dalpadulo E, Pini F, Leali F (2020) Components residual stress and deformation reduction: an integrated process design for additive manufacturing. In Proceedings of ASME 2021 international mechanical engineering congress and exposition, New York, NY, USA (virtual, online), 1–5 November 2021. https://doi.org/10.1115/IMECE2021-70887

  45. Limpert R (1999) Brake design and safety. S.A.E International, U.S.A

    Book  Google Scholar 

  46. Tirovic M, Sergent N, Campbell J, Roberts P, Vignjevic R (2012) Structural analysis of a commercial vehicle disc brake caliper. Proc Inst Mech Eng D: J Automob Eng 226(5):613–622. https://doi.org/10.1177/0954407011423447

    Article  Google Scholar 

  47. Sergent N, Tirovic M, Voveris J (2014) Design optimization of an opposed piston brake caliper. Eng Optim 14(11):1520–1537. https://doi.org/10.1080/0305215X.2013.846337

    Article  Google Scholar 

  48. Vasseljen B (2018) Brake caliper design for revolve NTNU. Dissertation, Norwegian University of Science and Technology. https://ntnuopen.ntnu.no/ntnu-xmlui/handle/11250/2615322

  49. Travi Farias L, Schommer A, Ziegler Haselein B, Neumaier G, Costa de Oliveira L, Soliman P, Walter R (2015) Design of a brake caliper using topology optimization integrated with direct metal laser sintering. S.A.E International. https://doi.org/10.4271/2015-36-0539

    Book  Google Scholar 

  50. Wischeropp TM, Hoch H, Beckmann F, Emmelmann C (2019) Opportunities for braking technology due to additive manufacturing through the example of a Bugatti brake caliper. In: XXXVII. Internationales μ-Symposium 2018 Bremsen-Fachtagung, pp. 181–193. https://doi.org/10.1007/978-3-662-58024-0_12

  51. Ugemuge M, Das S (2020) Topology optimisation of brake caliper. SAE Technical Paper 2020-01-1620. https://doi.org/10.4271/2020-01-1620

    Book  Google Scholar 

  52. Tyflopoulos E, Lien M, Steinert M (2021) Optimization of brake calipers using topology optimization for additive manufacturing. Appl Sci 11:1437. https://doi.org/10.3390/app11041437

    Article  CAS  Google Scholar 

  53. Ali H, Ghadbeigi H, Mumtaz K (2018) Effect of scanning strategies on residual stress and mechanical properties of selective laser melted Ti6Al4V. Mater Sci Eng A 712:175–187. https://doi.org/10.1016/j.msea.2017.11.103

    Article  CAS  Google Scholar 

  54. Bai R, Liang G, Naceur H, Coutellier D, Zhao J, Yi J, Luo J, Wang L, Pu H (2023) Influence of the advanced joint path strategies on the energy absorption capacity of Ti-6Al-4V Taylor bar based on additive manufacturing. J Therm Stresses 46(2):140–162. https://doi.org/10.1080/01495739.2022.2149646

    Article  Google Scholar 

  55. Bai R, Pu H, Liang G, Naceur H, Coutellier D, Du Y, Zhao J, Yi J, Li X, Yuan S, Luo J, Lin J (2023) Exact forming for additive manufacturing using an irregular element-based compensating approach: simulation, experiment, and detection. Mech Adv Mater Struct. https://doi.org/10.1080/15376494.2023.2246191

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Acknowledgements

The authors would like to express their gratitude to Marco Terenzi and Gianluca Bonanno for their valuable support along the case study development. Furthermore, thanks also to Gianmarco Carbonieri team leader of the FSAE group of University of Modena and Reggio Emilia, for its availability. The work is partly supported by University of Modena and Reggio Emilia though the actions FAR 2021-2022.

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Conceptualisation: E. D., F. P. and F. L.; methodology: E. D. and F. P.; validation: E. D. and F. P.; writing—original draft preparation, E. D.; writing—review and editing: E. D. and F. P.; supervision: F. L. All the authors read and approved the final manuscript.

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Correspondence to Enrico Dalpadulo.

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Dalpadulo, E., Pini, F. & Leali, F. Powder bed fusion integrated product and process design for additive manufacturing: a systematic approach driven by simulation. Int J Adv Manuf Technol 130, 5425–5440 (2024). https://doi.org/10.1007/s00170-024-13042-8

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