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Extended Abstract

Estimating the 3D Printing Defects by Micro-Computed Tomography †

1
National Institute for Research and Development in Chemistry and Petrochemistry-ICECHIM, 202 Spl. Independenţei, 060021 Bucharest, Romania
2
Department of Bioresources and Polymer Science, Politehnica University of Bucharest, Advanced Polymer Materials Group, 313 Splaiul Independentei, RO-060042 Bucharest, Romania
3
Faculty of Physics, University of Bucharest, 405 Atomistilor, 077125 Magurele, Romania
*
Author to whom correspondence should be addressed.
Presented at the 16th International Symposium “Priorities of Chemistry for a Sustainable Development” PRIOCHEM, Bucharest, Romania, 28–30 October 2020.
Proceedings 2020, 57(1), 97; https://doi.org/10.3390/proceedings2020057097
Published: 18 November 2020
Micro-computed tomography (µ-CT) is an X-ray technique with (sub)micron resolution, typically using an X-ray tube with cone-beam geometry as a source and a rotating sample holder. While conventional CT maintained a strong position in life science and low-resolution high-energy CT became widespread in industrial quality control, micro-CT has enjoyed a boost in interest from the materials science research community in the past decade [1]. The purpose of this paper is to present the usage of micro-computed tomography as method to estimate the defects of the 3D-printed items.
A PLA-based compound was shaped as filaments (Figure 1a) with optimal diameter and ovality (Figure 1b) for 3D printing (Figure 1). The identification of the defects of the 3D-printed item was performed by micro-computed tomography. To capture the global image of the 3D-printed sample, a Bruker 2211 nano-computer tomography (nano-CT) equipment was used. The scanning parameters were voltage: 60 kV; current intensity: 150 uA; exposure: 475 ms; resolution: 3 um; rotation step: 0.2 degrees; rotation: 180 degrees. The scanning process did not involve the use of a filter. The resolution of an X-ray was 4904 × 3280 pixels.
The obtained results showed that the defects are placed mainly at the interface between the superimposed layers and in the contact areas with the surface on which the deposit is made.
The versatile and non-destructive micro-CT is a characterization method widespread in industrial quality control. It can also be used for identifying the defects of the 3D-printed items. The obtained results showed that the defects are placed mainly at the interface between the overlayed material and in the contact areas with the surface on which the deposit is made.

Acknowledgments

This work was supported by a grant of the Romanian Ministry of Research and Innovation, CCCDI-UEFISCDI, project number PN-III-P1-1.2-PCCDI-2017-0428, 40/2018–5/3D-LONG LIFE within PNCDI III.

Reference

  1. Vásárhelyi, L.; Kónya, Z.; Kukovecz, Á.; Vajtai, R. Microcomputed tomography–based characterization of advanced materials: A review. Mater. Today Adv. 2020, 8, 100084. [Google Scholar] [CrossRef]
Figure 1. Variation of filament (a) diameter obtained from selected material (filament’s ovality) (b) 3D-printed item and morphology of the 3D-printed item visualized by µ-CT.
Figure 1. Variation of filament (a) diameter obtained from selected material (filament’s ovality) (b) 3D-printed item and morphology of the 3D-printed item visualized by µ-CT.
Proceedings 57 00097 g001
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MDPI and ACS Style

Dimonie, D.; Radu, I.-C.; Vlasceanu, G.; Zaharia, C.; Dragomir, N.; Dima, O.; Iftimie, S. Estimating the 3D Printing Defects by Micro-Computed Tomography. Proceedings 2020, 57, 97. https://doi.org/10.3390/proceedings2020057097

AMA Style

Dimonie D, Radu I-C, Vlasceanu G, Zaharia C, Dragomir N, Dima O, Iftimie S. Estimating the 3D Printing Defects by Micro-Computed Tomography. Proceedings. 2020; 57(1):97. https://doi.org/10.3390/proceedings2020057097

Chicago/Turabian Style

Dimonie, Doina, Ionut-Cristian Radu, George Vlasceanu, Catalin Zaharia, Nicoleta Dragomir, Ovidiu Dima, and Sorina Iftimie. 2020. "Estimating the 3D Printing Defects by Micro-Computed Tomography" Proceedings 57, no. 1: 97. https://doi.org/10.3390/proceedings2020057097

APA Style

Dimonie, D., Radu, I. -C., Vlasceanu, G., Zaharia, C., Dragomir, N., Dima, O., & Iftimie, S. (2020). Estimating the 3D Printing Defects by Micro-Computed Tomography. Proceedings, 57(1), 97. https://doi.org/10.3390/proceedings2020057097

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