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Impacts of the settings in a design for additive manufacturing process based on topological optimization

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Abstract

With the development of additive manufacturing technologies, designers are being offered new opportunities that are changing their usual design rules. The ability to create increasingly complex shapes constitutes the main opening. The complexity achieved makes it possible to obtain lightweight parts while maintaining high mechanical performance. As a result, design methods have to be adapted. Most of these methods include a design optimization phase to improve mechanical performance. Topological optimization tools are becoming essential to achieve this objective. They allow to achieve the best possible design as unnecessary material is stripped away leaving only that needed to meet the design requirements. Nevertheless, the designer continues to play a significant role in terms of the final design owing to the number of variables and settings involved in each stage of the design process. This paper uses a case study to assess the impacts on part geometry of the different design optimization settings used in the additive manufacturing process. It highlights how the settings adjustments made by the designer have a significant impact on the final design.

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References

  1. Thompson, M.K., Moroni, G., Vaneker, T., Fadel, G., Campbell, R.I., Gibson, I., Bernard, A., Schulz, J., Graf, P., Ahuja, B., Martina, F.: Design for additive manufacturing: trends, opportunities, considerations, and constraints. CIRP Ann. Manuf. Technol. 65(2), 737–760 (2016)

    Article  Google Scholar 

  2. Conner, B.P., Manogharan, G.P., Martof, A.N., Rodomsky, L.M., Rodomsky, C.M., Jordan, D.C., Limperos, J.W.: Making sense of 3-D printing: creating a map of additive manufacturing products and services. Addit. Manuf. 1–4, 64–76 (2014)

    Article  Google Scholar 

  3. Laverne, F., Segonds, F., Anwer, N., Le Coq, M.: Assembly based methods to support product innovation in design for additive manufacturing: an exploratory case study. J. Mech. Des. 137(12), 121701–121709 (2015)

    Article  Google Scholar 

  4. Vayre, B.: Conception pour la fabrication additive, application à la technologie EBM, Université Grenoble Alpes (2014)

  5. Seepersad, C.: Challenges and opportunities in design for additive manufacturing. 3D Print. Addit. Manuf. 1(1), 10–13 (2014)

    Article  Google Scholar 

  6. Emmelmann, C., Sander, P., Kranz, J., Wycisk, E.: Laser additive manufacturing and bionics: redefining lightweight design. Phys. Procedia 12, 364–368 (2011)

    Article  Google Scholar 

  7. Williams, C.B., Mistree, F., Rosen, D.W.: A functional classification framework for the conceptual design of additive manufacturing technologies. J. Mech. Des. 133(12), 121002 (2011)

    Article  Google Scholar 

  8. Gaynor, A.T., Guest, J.K.: Topology optimization considering overhang constraints: eliminating sacrificial support material in additive manufacturing through design. Struct. Multidiscip. Optim. 54(5), 1157–1172 (2016)

    Article  MathSciNet  Google Scholar 

  9. Ponche, R., Hascoet, J.-Y., Kerbrat, O., Mognol, P.: A new global approach to design for additive manufacturing. Virtual Phys. Prototyp. 7(2), 93–105 (2012)

    Article  Google Scholar 

  10. Galjaard, S., Hofman, S., Ren, S.: New opportunities to optimize structural designs in metal by using additive manufacturing. Adv. Archit. Geom. 2014, 79–93 (2014)

    Google Scholar 

  11. Leary, M., Merli, L., Torti, F., Mazur, M., Brandt, M.: Optimal topology for additive manufacture: a method for enabling additive manufacture of support-free optimal structures. Mater. Des. 63, 678–690 (2014)

    Article  Google Scholar 

  12. Dugré, A., Vadean, A., Chaussée, J.: Challenges of using topology optimization for the design of pressurized stiffened panels. Struct. Multidiscip. Optim. 53(2), 303–320 (2016)

    Article  Google Scholar 

  13. Nadeau, J.P., Fischer, X. (eds.): Research in interactive design (Vol. 3): virtual, interactive and integrated product design and manufacturing for industrial innovation. Springer, Berlin (2011)

    Google Scholar 

  14. Hsu, Y.-L., Hsu, M.-S., Chen, C.-T.: Interpreting results from topology optimization using density contours. Comput. Struct. 79(10), 1049–1058 (2001)

    Article  Google Scholar 

  15. Doutre, P., Morretton, E., Vo, T. H., Marin, P., Pourroy, F., Prudhomme, G., Vignat, F.: Comparison of some approaches to define a CAD model from topological optimization in design for additive manufacturing. In: Advances on Mechanics, Design Engineering and Manufacturing, pp. 233–240. (2016)

  16. Rosen, D.W.: A review of synthesis methods for additive manufacturing. Virtual Phys. Prototyp. 11(4), 305–317 (2016)

    Article  Google Scholar 

  17. Rozvany, G.I.N.: A critical review of established methods of structural topology optimization. Struct. Multidiscip. Optim. 37(3), 217–237 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  18. Wang, M.Y., Wang, X., Guo, D.: A level set method for structural topology optimization. Comput. Methods Appl. Mech. Eng. 192(1), 227–246 (2003)

    Article  MathSciNet  MATH  Google Scholar 

  19. Zhou, M., Shyy, Y.K., Thomas, H.L.: Checkerboard and minimum member size control in topology optimization. Struct. Multidiscip. Optim. 21(2), 152–158 (2001)

    Article  Google Scholar 

  20. Vayre, B., Vignat, F., Villeneuve, F.: Designing for additive manufacturing. Procedia CIRP 3(1), 632–637 (2012)

    Article  Google Scholar 

  21. Cuillière, J., Francois, V., Drouet, J.: Towards the integration of topology optimization into the CAD process. Comput. Aided Des. Appl. 11(2), 120–140 (2014)

    Article  Google Scholar 

  22. Sigmund, O., Petersson, J.: Numerical instabilities in topology optimization: a survey on procedures dealing with checkerboards, mesh-dependencies and local minima. Struct. Optim. 16(1), 68–75 (1998)

    Article  Google Scholar 

  23. Salonitis, K., Al Zarban, S.: Redesign optimization for manufacturing using additive layer techniques. Procedia CIRP 36, 193–198 (2015)

    Article  Google Scholar 

  24. Guest, J.K.: Imposing maximum length scale in topology optimization. Struct. Multidiscip. Optim. 37(5), 463–473 (2009)

    Article  MathSciNet  MATH  Google Scholar 

  25. Yang, S., Zhao, Y.F.: Additive manufacturing-enabled design theory and methodology: a critical review. Int. J. Adv. Manuf. Technol. 80(1–4), 327–342 (2015)

    Article  MathSciNet  Google Scholar 

  26. Larsen, S., Jensen, C.: Converting topology optimization results into parametric CAD models. Comput. Aided Des. Appl. 6(3), 407–418 (2009)

    Article  Google Scholar 

  27. Altair Engineering Inc. Optistruct 14.0 help files (2017)

  28. Brown, K.S.: Euler characteristics of discrete groups and G-spaces. Inventiones Mathematicae 27(3), 229–264 (1974)

    Article  MathSciNet  MATH  Google Scholar 

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Correspondence to Franck Pourroy.

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Morretton, E., Vignat, F., Pourroy, F. et al. Impacts of the settings in a design for additive manufacturing process based on topological optimization. Int J Interact Des Manuf 13, 295–308 (2019). https://doi.org/10.1007/s12008-018-00524-9

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  • DOI: https://doi.org/10.1007/s12008-018-00524-9

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