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Real time analysis of the filament for FDM 3D printers

Published:16 October 2019Publication History

ABSTRACT

This project raises the need to develop a quality control system for manufacturing processes by melt deposition. The main problem with this technology is that, if the environmental parameters are not sufficiently controlled, inaccuracy is created between the mechanical and aesthetic properties of the product. This causes that the pieces do not meet the requirements for the market since they cannot guarantee a unified performance.

For this purpose, a proof of concept that implements the necessary sensors in a testing machine will be carried out. The sensors will collect the measurements by means of an Arduino microcontroller. The obtained information will be processed in order to make the reports that indicate if the manufacturing process meets the expected requirements.

With this system it is possible to improve the manufacturing results by melted deposition and to assure quality standards. In the future, the system could be improved according to the quality parameters required by the ISO standards for printing filaments and also used to certify them.

Considering all the aforementioned, this is undoubtedly a field of research that still has much to develop and it is expected that this work will be a contribution for future research.

References

  1. Ariel Calderon James Griffin Juan Cristóbal Zagal, (2014),"BeamMaker: an open hardware high-resolution digital fabricator for the masses", Rapid Prototyping Journal, Vol. 20 Iss 3 pp. 245--255Google ScholarGoogle ScholarCross RefCross Ref
  2. Mota, C. (2011), "The rise of personal fabrication", Proceedings of the 8th ACM Conference on Creativity and Cognition, ACM Press, Atlanta, GA, p. 279.Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Stemp-Morlock, G. (2009). "Personal fabrication", Technology, 53 (1). 2--3.Google ScholarGoogle Scholar
  4. Sebastian Stopp Thomas Wolff Franz Irlinger Tim Lueth, (2008),"A new method for printer calibration and contour accuracy manufacturing with 3D-print technology", Rapid Prototyping Journal, Vol. 14 Iss 3 pp. 167--172Google ScholarGoogle ScholarCross RefCross Ref
  5. Edward W. Reutzel and Abdalla R. Nassar Rapid Prototyping Journal Volume 21 · Number 2 · 2015 · 159--167Google ScholarGoogle Scholar
  6. Volpato, N., Kretschek, D., Foggiatto, J. A., & da Silva Cruz, C. G. (2015). Experimental analysis of an extrusion system for additive manufacturing based on polymer pellets. The International Journal of Advanced Manufacturing Technology, 1--13.Google ScholarGoogle Scholar
  7. Turner, B. N., and Gold, S. A. (2015). A review of melt extrusion additive manufacturing processes: II. Materials, dimensional accuracy, and surface roughness. Rapid Prototyping Journal, 21(3), 250--261Google ScholarGoogle ScholarCross RefCross Ref
  8. Turner, B. N., Strong, R., and Gold, S. A. (2014). A review of melt extrusion additive manufacturing processes: I. Process design and modeling. Rapid Prototyping Journal, 20(3), 192--204.Google ScholarGoogle ScholarCross RefCross Ref
  9. Ratzsch, K. F., Kádár, R., Naue, I. F., & Wilhelm, M. (2013). A Combined NMR Relaxometry and Surface Instability Detection System for Polymer Melt Extrusion. Macromolecular Materials and Engineering, 298(10), 1124--1132.Google ScholarGoogle ScholarCross RefCross Ref
  10. Simplify3D, «Print Quality Troubleshooting Guide», 2016. [En línea]. Disponible en: https://www.simplify3d.com/support/print-quality-troubleshooting/. [Accedido: 27-jul-2018].Google ScholarGoogle Scholar
  11. L. Datasheet, «LM35 Precision centigrade temperature sensors», Retrieved Sept.13th, n.o November, 2017.Google ScholarGoogle Scholar
  12. M. Fiedler, «Evaluating Tension and Tooth Geometry to Optimize Grip on 3D Printer Filament», 3D Print. Addit. Manuf., vol. 2, n.o 2, pp. 85--88, jun. 2015.Google ScholarGoogle Scholar
  13. JasonKits, «Filament Width Sensor», 2018. [En línea]. Disponible en: https://github.com/jasonmarkham/FWS_V3.2/blob/master/fws_v3.2.pdf.Google ScholarGoogle Scholar
  14. Soriano Heras, Enrique; Blaya Haro, Fernando; de Agustín del Burgo, José M.; Islán Marcos, Manuel; D'Amato, Roberto. 2018. Filament Advance Detection Sensor for Fused Deposition Modelling 3D Printers. Sensors 18, no. 5: 1495Google ScholarGoogle ScholarCross RefCross Ref
  15. P. Habibovic, U. Gbureck, C. J. Doillon, D. C. Bassett, C. A. van Blitterswijk, and J. E. Barralet, "Osteoconduction and osteoinduction of low-temperature 3D printed bioceramic implants," Biomaterials, vol. 29, no. 7, pp. 944--953, Mar. 2008.Google ScholarGoogle Scholar
  16. Roozenburg, N. F., and Eekels, J. (1995). Product design: fundamentals and methods (Vol. 2). Chichester: Wiley.Google ScholarGoogle Scholar

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  1. Real time analysis of the filament for FDM 3D printers

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    • Published in

      cover image ACM Other conferences
      TEEM'19: Proceedings of the Seventh International Conference on Technological Ecosystems for Enhancing Multiculturality
      October 2019
      1085 pages
      ISBN:9781450371919
      DOI:10.1145/3362789

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      Publication History

      • Published: 16 October 2019

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