In Situ Visual Quality Control in 3D Printing

Charalampos Kopsacheilis, Paschalis Charalampous, Ioannis Kostavelis, Dimitrios Tzovaras

Abstract

In the past decade, additive manufacturing technology has gained an immense attention in numerous research areas and has already been adopted in a wide range of industries relevant to transportation, healthcare, electronics and energy. However, the presence of defects and dimensional deviations that occur during the process hinder the broad exploitation of 3D printing. In order to enhance the capabilities of this emerging technology, online quality control methodologies and verifications of the manufacturing process are necessary to be developed. In the present article, a low cost in-situ vision-based monitoring technique applied in Fused Deposition Modeling (FDM) 3D printing technology is introduced. An optical scanning system was integrated in a commercial 3D Printer in order to scan and validate the performance of the procedure. The proposed methodology monitors the FDM process and correlates the theoretical 3D model with the manufactured one. This technique can be utilized in various additive manufacturing technologies providing integrity and reliability of the process, high quality standards and reduced production costs.

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Paper Citation


in Harvard Style

Kopsacheilis C., Charalampous P., Kostavelis I. and Tzovaras D. (2020). In Situ Visual Quality Control in 3D Printing.In Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP, ISBN 978-989-758-402-2, pages 317-324. DOI: 10.5220/0009329803170324


in Bibtex Style

@conference{ivapp20,
author={Charalampos Kopsacheilis and Paschalis Charalampous and Ioannis Kostavelis and Dimitrios Tzovaras},
title={In Situ Visual Quality Control in 3D Printing},
booktitle={Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,},
year={2020},
pages={317-324},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009329803170324},
isbn={978-989-758-402-2},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 3: IVAPP,
TI - In Situ Visual Quality Control in 3D Printing
SN - 978-989-758-402-2
AU - Kopsacheilis C.
AU - Charalampous P.
AU - Kostavelis I.
AU - Tzovaras D.
PY - 2020
SP - 317
EP - 324
DO - 10.5220/0009329803170324