3D Objects, Optimizing 3D Prints, Sustainability

Optimizing 3D Print- Conclusion

The study investigated the surface roughness of 3D printed objects through a statistical experiment and X-ray computed tomography of their shell and internal structure, to determine the optimal configurations for print quality.

A wide range of optimal configurations were determined. The study confirms the existing literature that infill levels do not play a major role in the surface quality of the printed objects. Pigmentation of the material does not influence the final surface quality at the chosen temperature. However, natural PLA is consistently present in all the sets of ideal configurations. The material, however, does shrink, adding to the unevenness of the surface and overall dimensions. Shape plays the most important role in deciding the surface quality of these objects.

When an appropriate configuration is used, it is possible to minimize the number of rejected prints and avoid the wastage of filament. The study also shows that tapered objects such as cones will show more unevenness on their external surface when compared to non-deformed objects like cylinders. This confirmation is extremely useful when it comes to performing appropriate design choices while printing, and making additive manufacturing more sustainable.

The future direction is to investigate the surface quality of the objects when printed with and without support structures while also considering polyhedral objects.

 

 

References

  1. Adam G A O, Zimmer D (2015) On design for additive manufacturing: evaluating geometrical limitations, Rapid Prototyping journal, 21/6:662-670. DOI 10.1108/RPJ-06-2013-0060
  2. Afrose F M, Masood S H, Iovenitti P, Nikzad M, Sbarski I (2015) Effects of part build orientations on fatigue behavior of FDM-processed PLA material, Progress in Additive Manufacturing 1: 21. DOI: 10.1007/s40964-015-0002-3
  3. Alfaghani A, Qattawi A, Alrawi B, Guzman A (2017) Experimental Optimization of Fused Deposition Modelling Processing Parameters: a Design-for-Manufacturing Approach, Procedia Manufacturing, Open Journal of Applied Sciences, 7, 291-318. DOI 10.4236/ojapps.2017.76024
  4. Armillotta A (2006) Assessment of surface quality on textured FDM prototypes, Rapid Prototyping Journal 12/1:35-41. DOI 10.1108/13552540610637255
  5. Babout L (2006) X-Ray Tomography Imaging: A Necessary Tool for Material Science. Automatyka 10:117–124
  6. Bill V, Fayard A (2017) Building an Entrepreneurial and Innovative Culture in a University Makerspace. URL https://peer.asee.org/27985, accessed 17 July 2017
  7. Boschetto A, Veniali F (2010) Intricate Shape Prototypes Obtained by FDM, International Journal of Material Forming 3/1:1099-1102. DOI 10.1007/s12289-010-0963-1
  8. Cruz Sanchez F A, Lanza S, Boudaoud H, Hoppe S, Camargo M (2015) Polymer Recycling and Additive Manufacturing in an Open Source Context: Optimization of Processes and Methods. pp 1591–1600
  9. Cuiffo M, Snyder J, Elliott A, Romero N, Kannan S, Halada G P (2017) Impact of The Fused Deposition (Fdm) Printing Process on Polylactic Acid (PLA). Chemistry and Structure Appl Sci 7:579. DOI 10.3390/app7060579
  10. Di Angelo L, Di Stefano P, Marzola A (2017) Surface quality prediction in FDM additive manufacturing, International Journal of Advanced Manufacturing Technology 93: 3655. DOI 10.1007/s00170-017-0763-6
  11. Freitas D, Almeida H A, Bártolo H, Bártolo P J (2016) Sustainability in extrusion-based additive manufacturing technologies. Progress in Additive Manufacturing 1:65–78. DOI 10.1007/s40964-016-0007-6
  12. Gajdoš I, Slota J (2013) Influence of Printing Conditions on Structure in FDM Prototypes. Tehnički vjesnik 20:231–236.
  13. Garlotta D (2001) A Literature Review of Poly(Lactic Acid). Journal of Polymers and the Environment 9:63–84. DOI 10.1023/A:102020082
  14. Galantucci L M, Bodi I, Kacani J, Lavecchia F (2015) Analysis of dimensional performance for a 3D open-source printer based on fused deposition modeling technique, Procedia CIRP 28:82-87. DOI 10.1016/j.procir.2015.04.014
  15. Huang T, Wang S, He K (2015) Quality Control for Fused Deposition Modeling Based Additive Manufacturing: Current Research and Future Trends, The First International Conference on Reliability Systems Engineering. DOI 10.1109/ICRSE.2015.7366500
  16. Jensen M, Wilhjelm J E (2007) X-Ray Imaging: Fundamentals and Planar Imaging. URL-http://www2.compute.dtu.dk/courses/02511/docs/X-RayAndCT.pdf, accessed 17 July 2017
  1. Lindermann C, Jahnke U, Moi M, Koch R (2012) Analyzing Product Lifecycle Costs for a Better Understanding of Cost Drivers in Additive Manufacturing, 23rd Annual International Solid Freeform Fabrication Symposium. pp 177-188
  2. Mitra A (2012) Fundamentals of Quality Control and Improvement, seventh edn. John Wiley & Sons, Inc., Hoboken, New Jersey
  3. Montgomery DC (2013) Design and Analysis of Experiments, eighth edn. JohnWiley & Sons, Inc., Hoboken, New Jersey
  4. Polak R, Sedlacek F, Raz K (2017) Determination of FDM Printer Settings with Regard to Geometrical Accuracy, Proceedings of the 28th DAAAM International Symposium. pp 561-566
  5. Pérez M, Medina-Sánchez G, Garcia-Collado A, Gupta M, Carou D 2018 Surfaace Quality Enhancement of Fused Deposition Modeling (FDM) Printed Samples Based on the Selection of Critical Printing Parameters, Materials 11:1382
  6. Rahmati S, Vahabli E (2015) Evaluation of analytical modeling for improvement of surface roughness of FDM test part using measurement results, International Journal of Advanced Manufacturing Technology 79:823-829. DOI 10.1007/s00170-015-6879-7
  7. Redwood B, Schöffer F, Garret B (2017) The 3D Printing Handbook: Technologies, Design and Applications, first edn. 3D Hubs, Amsterdam
  8. Valerga AP, Batista M, Puyana R, Sambruno A, Wendt C, Marcos M (2017) Preliminary Study of PLA Wire Colour Effects on Geometric Characteristics of Parts Manufactured by FDM. Procedia Manufacturing 13:924–931. DOI 10.1016/j.promfg.2017.09.161
  9. Wittbrodt B, Pearce J M (2015) The Effects of PLA Color on Material Properties of 3-D Printed Components. Additive Manufacturing 8:110–116. DOI 10.1016/j.addma.2015.09.006

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