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Improving additive manufacturing performance by build orientation optimization

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Abstract

Additive manufacturing (AM) is an emerging type of production technology to create three-dimensional objects layer-by-layer directly from a 3D CAD model. AM is being extensively used in several areas by engineers and designers. Build orientation is a critical issue in AM since it is associated with the part accuracy, the number of supports required and the processing time to produce the object. This paper presents an optimization approach to solve the part build orientation problem taking into account some characteristics or measures that can affect the accuracy of the part, namely the volumetric error, the support area, the staircase effect, the build time, the surface roughness and the surface quality. A global optimization method, the Electromagnetism-like algorithm, is used to solve the part build orientation problem.

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References

  1. Canellidis V, Dedoussis V, Mantzouratos N, Sofianopoulou S (2006) Pre-processing methodology for optimizing stereolithography apparatus build performance. Comput Indust 57(5):424– 436

    Google Scholar 

  2. Moroni G, Syam WP, Petrò S (2015) Functionality-based part orientation for additive manufacturing. Procedia CIRP 36:217–222

    Google Scholar 

  3. Jiang J, Xu X, Stringer J (2018) Support structures for additive manufacturing: a review. J Manuf Mater Process 2(4):64

    Google Scholar 

  4. Hull CW (1984) Apparatus for production of three-dimensional objects by stereolithography. United States Patent, Appl., No. 638905, Filed

  5. Kruth JP, Leu MC, Nakagawa T (1998) Progress in additive manufacturing and rapid prototyping. Cirp Ann 47(2):525– 540

    Google Scholar 

  6. Taufik M, Jain PK (2013) Role of build orientation in layered manufacturing: a review. Int J Manuf Technol Manag 27(1–3):47–73

    Google Scholar 

  7. Bikas H, Stavropoulos P, Chryssolouris G (2016) Additive manufacturing methods and modelling approaches: a critical review. Int J Adv Manuf Technol 83(1–4):389–405

    Google Scholar 

  8. Del Re F, Scherillo F, Contaldi V, Palumbo B, Squillace A, Corrado P, Di Petta P (2019) Mechanical properties characterisation of alsi10mg parts produced by laser powder bed fusion additive manufacturing. Int J Mater Res 110(5):436–446

    Google Scholar 

  9. Pereira S, Vaz A, Vicente L (2018) On the optimal object orientation in additive manufacturing. Int J Adv Manuf Technol 98(5-8):1685–1694

    Google Scholar 

  10. Pandey P, Reddy NV, Dhande S (2007) Part deposition orientation studies in layered manufacturing. J Mater Process Technol 185(1–3):125–131

    Google Scholar 

  11. Thrimurthulu K, Pandey PM, Reddy NV (2004) Optimum part deposition orientation in fused deposition modeling. Int J Mach Tools Manuf 44(6):585–594

    Google Scholar 

  12. Wang WM, Zanni C, Kobbelt L (2016) Improved surface quality in 3d printing by optimizing the printing direction. Comput Graph Forum 35(2):59–70

    Google Scholar 

  13. Alharbi N, van de Veen AJ, Wismeijer D, Osman RB (2019) Build angle and its influence on the flexure strength of stereolithography printed hybrid resin material. An in vitro study and a fractographic analysis. Mater Technol 34(1):12–17

  14. Alexander P, Allen S, Dutta D (1998) Part orientation and build cost determination in layered manufacturing. Comput Aided Des 30(5):343–356

    Google Scholar 

  15. Brika SE, Zhao YF, Brochu M, Mezzetta J (2017) Multi-objective build orientation optimization for powder bed fusion by laser. J Manuf Sci Eng 139(11):111011

    Google Scholar 

  16. Das P, Chandran R, Samant R, Anand S (2015) Optimum part build orientation in additive manufacturing for minimizing part errors and support structures. Procedia Manuf 1:343–354

    Google Scholar 

  17. Frank D, Fadel G (1995) Expert system-based selection of the preferred direction of build for rapid prototyping processes. J Intell Manuf 6(5):339–345

    Google Scholar 

  18. Lan PT, Chou SY, Chen LL, Gemmill D (1997) Determining fabrication orientations for rapid prototyping with stereolithography apparatus. Comput Aided Des 29(1):53–62

    Google Scholar 

  19. Masood S, Rattanawong W, Iovenitti P (2003) A generic algorithm for a best part orientation system for complex parts in rapid prototyping. J Mater Process Technol 139(1–3):110–116

    Google Scholar 

  20. Zhang Y, De Backer W, Harik R, Bernard A (2016) Build orientation determination for multi-material deposition additive manufacturing with continuous fibers. Procedia Cirp 50:414–419

    Google Scholar 

  21. Birbil Şİ, Fang SC, Sheu RL (2004) On the convergence of a population-based global optimization algorithm. J Global Optim 30(2–3):301–318

    MathSciNet  MATH  Google Scholar 

  22. Jaiswal P, Patel J, Rai R (2018) Build orientation optimization for additive manufacturing of functionally graded material objects. Int J Adv Manuf Technol 96(1–4):223–235

    Google Scholar 

  23. Livesu M, Ellero S, Martínez J, Lefebvre S, Attene M (2017) From 3d models to 3d prints: an overview of the processing pipeline. Comput Graph Forum 36(2):537–564

    Google Scholar 

  24. Jibin Z (2005) Determination of optimal build orientation based on satisfactory degree theory for rpt. In: Ninth International conference on computer aided design and computer graphics, 2005. 6–pp. IEEE

  25. Rocha AMAC, Pereira AI, Vaz AIF (2018) Build orientation optimization problem in additive manufacturing. In: International conference on computational science and its applications. Springer, pp 669–682

  26. Masood SH, Rattanawong W, Iovenitti P (2000) Part build orientations based on volumetric error in fused deposition modelling. Int J Adv Manuf Technol 16(3):162–168

    Google Scholar 

  27. Kattethota G, Henderson M (1998) A visual tool to improve layered manufacturing part quality. In: Proceedings of solid freeform fabrication symposium, pp 327–334

  28. Zhang Y, Bernard A, Harik R, Karunakaran K (2017) Build orientation optimization for multi-part production in additive manufacturing. J Intell Manuf 28(6):1393–1407

    Google Scholar 

  29. Ahn DK, Kwon SM, Lee SH (2008) Expression for surface roughness distribution of fdm processed parts. In: In: International Conference on smart manufacturing application, 2008. ICSMA 2008. IEEE, pp 490–493

  30. Byun HS, Lee KH (2006) Determination of optimal build direction in rapid prototyping with variable slicing. Int J Adv Manuf Technol 28(3–4):307

    Google Scholar 

  31. Campbell RI, Martorelli M, Lee HS (2002) Surface roughness visualisation for rapid prototyping models. Comput Aided Des 34(10):717–725

    Google Scholar 

  32. Canellidis V, Giannatsis J, Dedoussis V (2009) Genetic-algorithm-based multi-objective optimization of the build orientation in stereolithography. Int J Adv Manuf Technol 45(7–8):714–730

    Google Scholar 

  33. Mason A (2006) Multi-axis hybrid rapid prototyping using fusion deposition modeling. Master’s thesis, Ryerson University Toronto, ON. Canada

  34. Mohan Pandey P, Venkata Reddy N, Dhande SG (2003) Slicing procedures in layered manufacturing: a review. Rapid Prototyp J 9(5):274–288

    Google Scholar 

  35. Pandey PM, Reddy NV, Dhande SG (2003) Improvement of surface finish by staircase machining in fused deposition modeling. J Mater Process Technol 132(1–3):323–331

    Google Scholar 

  36. Behnam N (2011) Surface roughness estimation for fdm systems. Master’s thesis Ryerson University, Toronto, Canada

  37. Pandey PM (2010) Rapid prototyping technologies, applications and part deposition planning. Retrieved October 15:550–555

    Google Scholar 

  38. Xu F, Wong Y, Loh H, Fuh J, Miyazawa T (1997) Optimal orientation with variable slicing in stereolithography. Rapid Prototyp J 3(3):76–88

    Google Scholar 

  39. Rocha AMAC, Silva A, Rocha JG (2015) A new competitive implementation of the electromagnetism-like algorithm for global optimization. In: International conference on computational science and its applications. Springer, pp 506–521

Download references

Acknowledgements

The authors are grateful to the anonymous referees for their fruitful comments and suggestions.

Funding

This work has been financially supported and developed under the FIBR3D project - Hybrid processes based on additive manufacturing of composites with long or short fibres reinforced thermoplastic matrix (POCI-01-0145-FEDER-016414), supported by the Lisbon Regional Operational Programme 2020, under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). This work has been also financially supported by national funds through FCT - Fundação para a Ciência e Tecnologia within the Project Scope: UID/CEC/00319/2019.

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Correspondence to Ana Maria A. C. Rocha.

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Matos, M.A., Rocha, A.M.A.C. & Pereira, A.I. Improving additive manufacturing performance by build orientation optimization. Int J Adv Manuf Technol 107, 1993–2005 (2020). https://doi.org/10.1007/s00170-020-04942-6

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  • DOI: https://doi.org/10.1007/s00170-020-04942-6

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