Some Aspects Influencing Production of Porous Structures with Complex Shapes of Cells

Conference paper
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

The article deals with some aspects influencing Direct Metal Laser Sintering (DMLS) technology. The 3D printing method is used in production of metal parts, at which a product is built layer by layer. The main advantage of this method is the ability to produce parts which have a very complex geometry and which are produced by classical conventional methods in very complicated way. To be 3D printing technology included in the industrial production of the real components it is required to achieve high mechanical properties of produced parts. The final properties of produced parts are strongly dependent on each individual laser produced track and layer. Impacts of individual factors on the quality of product are described in the article. There is also presented preliminary study related with the modelling and manufacturing of porous structures. It comes to geometrically defined structure with complex shapes that allows weight reduction with sufficient toughness.

Keywords

Porous structure Complex shape Additive technology Influencing aspects 

Notes

Acknowledgements

The present contribution has been prepared under projects VEGA 1/0614/15 and KEGA 087TUKE-4/2015.

References

  1. 1.
    Ungureanu M, Pop N, Ungureanu N (2016) Innovation and technology transfer for business development. In: Procedia Engineering, vol 149, pp 495–500Google Scholar
  2. 2.
    Majstorovic V et al (2014) CAI model for prismatic parts in digital manufacturing. In: Procedia CIRP, vol 25, pp 27–32Google Scholar
  3. 3.
    Valicek J et al (2016) Mechanism of creating the topography of an abrasive water jet cut surface. Adv Struct Mater 61:111–120CrossRefGoogle Scholar
  4. 4.
    Cloots M, Spierings A, Wegener K (2013) Assessing new support minimizing strategies for the additive manufacturing technology SLM. In: Solid freeform fabrication symposium 2013Google Scholar
  5. 5.
    Ferroudji F et al (2014) Large-scale dual axis sun tracking system modeling and static analysis by FEM. Int J Mech Mechatron Eng IJMME/IJENS 14(04):92–97Google Scholar
  6. 6.
    Monkova et al (2014) Inverse processing of undefined complex shape parts from structural high alloyed tool steel. Adv Mech Eng, 1–11Google Scholar
  7. 7.
    Panda A, Jurko J, Pandova I (2016) Monitoring and evaluation of production processes: an analysis of the automotive industry. Springer International Publishing, p 117. ISBN 978-331929442-1Google Scholar
  8. 8.
    Allen S, Dutta, D (1994) On the computation of part orientation using support structure in layered manufacturing. In: Solid freeform fabrication symposium, Austin, pp 59–269Google Scholar
  9. 9.
    Frank D, Fadel G (1995) Expert system-based selection of the preferred direction of build for rapid prototyping processes. J Intell Manuf 6(5):339–345CrossRefGoogle Scholar
  10. 10.
    Hur SM, Choi KH, Lee SH, Chang PK (2001) Determination of fabricating orientation and packing in SLS process. J Mater Process Technol 112:236–243CrossRefGoogle Scholar
  11. 11.
    Pham DT, Dimov SS, Gault RS (1999) Part orientation in stereolithography. Int J Adv Manuf Technol 15:674–682CrossRefGoogle Scholar
  12. 12.
    Masood SH, Rattanawong W (2002) A generic part orientation system based on volumetric error in rapid prototyping. Int J Adv Manuf Technol 19:209–216Google Scholar
  13. 13.
    Hanzl P, Zetek M, Zetkova I Cellular lattice structure produced by selective laser melting and its mechanical properties. In: Katalinic B (ed) Proceedings of the 26th DAAAM international symposium. Published by DAAAM International, Vienna, Austria, pp 0748–0752. ISBN 978-3-902734-07-5. ISSN 1726-9679Google Scholar
  14. 14.
    Hanzl P, Zetková I, Mach J (2017) Optimization of the pressure porous sample and its manufacturability by selective laser melting. Manuf Technol 17(1):34–38. ISSN 1213-2489Google Scholar
  15. 15.
    Paul R, Anand S (2014) Optimization of layered manufacturing process for reducing form errors with minimal support structures. J Manuf Syst. doi: 10.1016/j.jmsy.2014.06.014
  16. 16.
    Dobransky J et al (2016) Document optimization of the production and logistics processes based on computer simulation tools. Key Eng Mater 669:532–540CrossRefGoogle Scholar
  17. 17.
    Beno P, Konjatic P (2014) Optimization of thin-walled constructions in CAE system ANSYS. TehnickiVjesnik 21(5):1051–1055Google Scholar

Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Faculty of Manufacturing Technologies with the Seat in PresovTechnical University of KosicePresovSlovakia
  2. 2.Regional Technological InstituteUniversity of West BohemiaPilsenCzech Republic

Personalised recommendations