Binocular vision measurement system for geometric error of 3D printers at high temperature
The International Journal of Advanced Manufacturing Technology Volume 130
Page 2771-2783
published_at 2023-12-20
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Title ( eng ) |
Binocular vision measurement system for geometric error of 3D printers at high temperature
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Creator |
Li Rui
Huang Nuodi
Zhang Yang
Zhu Limin
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Source Title |
The International Journal of Advanced Manufacturing Technology
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Volume | 130 |
Start Page | 2771 |
End Page | 2783 |
Abstract |
The accuracy of material extrusion-based 3D printers is greatly affected by the high temperature in the chamber due to the thermal-induced deformation of components. However, most existing measurement equipment cannot be applied to high-temperature environments, which hinders the corresponding error measurement. To address this issue, a geometric error detection system and identification algorithm based on binocular vision are proposed. Firstly, a corner detection algorithm and a ray-intersection binocular model are used to identify the three-dimensional displacement of the target. Secondly, an error separation and identification algorithm is proposed to identify 21 position-dependent geometric errors. Error measurement experiments are conducted on a 3D printer at room temperature and high temperature, respectively. The experimental results at room temperature are verified using a double-ball bar. Finally, an error compensation experiment is conducted to verify the effectiveness of error identification, which also shows the contribution of error motions of linear axes on the printing accuracy.
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Keywords |
Vision measurement
High-temperature measurement
Position-dependent geometric errors
3D printer
Geometric error identification
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Descriptions |
The authors gratefully acknowledge the financial support of the National Natural Science Foundation of China (No. 52075337) and the State Key Laboratory of Mechanical System and Vibration (No. MSVZD202113).
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Language |
eng
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Resource Type | journal article |
Publisher |
Springer Nature
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Date of Issued | 2023-12-20 |
Rights |
This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: https://doi.org/10.1007/s00170-023-12821-z
This is not the published version. Please cite only the published version.
この論文は出版社版ではありません。引用の際には出版社版をご確認、ご利用ください。
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Publish Type | Accepted Manuscript |
Access Rights | embargoed access |
Source Identifier |
[DOI] https://doi.org/10.1007/s00170-023-12821-z
isVersionOf
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Remark | The full-text file will be made open to the public on 20 December 2024 in accordance with publisher's 'Terms and Conditions for Self-Archiving' |