Automated Quality Control of 3D Printed Tensile Specimen via Computer Vision

Author:

Ullah Rizwan,Gebrehiwot Silas,Patabendige Thumula Madduma,Espinosa-Leal Leonardo

Publisher

Springer Nature Switzerland

Reference8 articles.

1. Espinosa-Leal, L., Chapman, A., Westerlund, M.: Autonomous industrial management via reinforcement learning. J. Intell. Fuzzy Syst. 39(6), 8427–8439 (2020)

2. Magar, V.M., Shinde, V.B.: Application of 7 quality control (7 QC) tools for continuous improvement of manufacturing processes. Int. J. Eng. Res. General Sci. 2(4), 364–371 (2014)

3. Wu, H.C., Chen, T.C.: Quality control issues in 3D-printing manufacturing: a review. Rapid Prototyping J. 24(3), 607–614 (2018)

4. “Niryo Vision Set - User Manual — Vision Set User Manual v1.0.0 documentation.” Accessed 3 Jan 2024. https://docs.niryo.com/product/vision-set/v1.0.0/en/index.html

5. Gebrehiwot, S.Z., Espinosa-Leal, L., Linderbäck, P., Remes, H.: Optimising the mechanical properties of additive-manufactured recycled polylactic acid (rPLA) using single and multi-response analyses methods. Int. J. Adv. Manuf. Technol. 11, 1–6 (2023)

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