Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Automated Print Quality Assessment Method for 3D Printing AI Data Construction

  • Yoo, Hyun-Ju (Dept. of Convergence Engineering, Hoseo Graduate School of Venture) ;
  • Moon, Nammee (Dept. of Convergence Engineering, Hoseo Graduate School of Venture)
  • Received : 2021.10.20
  • Accepted : 2022.02.22
  • Published : 2022.04.30
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Abstract

The evaluation of the print quality of 3D printing has traditionally relied on manual work using dimensional measurements. However, the dimensional measurement method has an error value that depends on the person who measures it. Therefore, we propose the design of a new print quality measurement method that can be automatically measured using the field-of-view (FOV) model and the intersection over union (IoU) technique. First, the height information of the modeling is acquired from a camera; the output is measured by a sensor; and the images of the top and isometric views are acquired from the FOV model. The height information calculates the height ratio by calculating the percentage of modeling and output, and compares the 2D contour of the object on the image using the FOV model. The contour of the object is obtained from the image for 2D contour comparison and the IoU is calculated by comparing the areas of the contour regions. The accuracy of the automated measurement technique for determining, which derives the print quality value was calculated by averaging the IoU value corrected by the measurement error and the height ratio value.

Keywords

Acknowledgement

This study was supported by the Technology Development Program (No. S3084459) funded by the Ministry of SMEs and Startups (MSS, Korea).

References

  1. M. B. Mawale, A. M. Kuthe, and S. W. Dahake, "Additive layered manufacturing: state-of-the-art applications in product innovation," Concurrent Engineering, vol. 24, no. 1, pp. 94-102, 2016. https://doi.org/10.1177/1063293X15613111
  2. J. L. Fastowicz and K. Okarma, "Quality assessment of photographed 3D printed flat surfaces using hough trnasform and histogram equalizaiton," Journal of Universal Computer Science, vol. 25, no. 6, pp. 701-717, 2019.
  3. O. A Mohamed, S. H. Masood, and J. L. Bhowmik, "Optimization of fused deposition modeling process parameters: a review of current research and future prospects," Advances in Manufacturing, vol. 3, no. 1, pp. 42-53, 2015. https://doi.org/10.1007/s40436-014-0097-7
  4. J. S. Kim, N. Jo, J. S. Nam, and S. W. Lee, "Identification and optimization of dominant process parameters affecting mechanical properties of FDM 3D printed parts," Transactions of the Korean Society of Mechanical Engineers A, vol. 41, no. 7, pp. 607-612, 2017. https://doi.org/10.3795/KSME-A.2017.41.7.607
  5. F. M. Mwerma, E. T. Akinlabi, and O. S. Fatoba, "Visual assessment of 3D printed elements: a practical quality assessment for home-made FDM products," Materials Today: Proceedings, vol. 26(Part 2), pp. 1520-1525, 2020. https://doi.org/10.1016/j.matpr.2020.02.313
  6. C. S. Lee, "A study on parametric optimization and health monitoring for fused deposition modeling (FDM) process," M.S. thesis, Sungkyunkwan University, Suwon, Korea, 2018.
  7. P. Charalampous, I. Kostavelis, T. Kontodina, and D. Tzovaras, "Learning-based error modeling in FDM 3D printing process," Rapid Prototyping Journal, vol. 27, no. 3, pp. 507-517, 2021. https://doi.org/10.1108/RPJ-03-2020-0046
  8. A. K. Sood, A. Equbal, V. Toppo, R. K. Ohdar, and S. S. Mahapatra, "An investigation on sliding wear of FDM built parts," CIRP Journal of Manufacturing Science and Technology, vol. 5, no. 1, pp. 48-54, 2012. https://doi.org/10.1016/j.cirpj.2011.08.003
  9. G. C. Vosniakos, T. Maroulis, and D. Pantelis, "A method for optimizing process parameters in layer-based rapid prototyping," Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 221, no. 8, pp. 1329-1340, 2007. https://doi.org/10.1243/09544054jem815
  10. A. Equbal, A. K. Sood, and S. S. Mahapatra, "Prediction of dimensional accuracy in fused deposition modelling: a fuzzy logic approach," International Journal of Productivity and Quality Management, vol. 7, no. 1, pp. 22-43, 2011. https://doi.org/10.1504/IJPQM.2011.037730
  11. A. K. Sood, R. K. Ohdar, and S. S. Mahapatra, "Parametric appraisal of fused deposition modelling process using the grey Taguchi method," Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 224, no. 1, pp. 135-145, 2010. https://doi.org/10.1243/09544054JEM1565
  12. G. C. Vosniakos, T. Maroulis, and D. Pantelis, "A method for optimizing process parameters in layer-based rapid prototyping," Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, vol. 221, no. 8, pp. 1329-1340, 2007. https://doi.org/10.1243/09544054jem815
  13. A. K. Sood, R. K. Ohdar, and S. S. Mahapatra, "Experimental investigation and empirical modelling of FDM process for compressive strength improvement," Journal of Advanced Research, vol. 3, no. 1, pp. 81-90, 2012. https://doi.org/10.1016/j.jare.2011.05.001