Binocular vision measurement system for geometric error of 3D printers at high temperature
The International Journal of Advanced Manufacturing Technology 130 巻
2771-2783 頁
2023-12-20 発行
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この文献の参照には次のURLをご利用ください : https://ir.lib.hiroshima-u.ac.jp/00055820
ファイル情報(添付) |
IJAMT_130_2771.pdf
1.9 MB
種類 :
全文
エンバーゴ :
2024-12-20
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タイトル ( eng ) |
Binocular vision measurement system for geometric error of 3D printers at high temperature
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作成者 |
Li Rui
Huang Nuodi
Zhang Yang
Zhu Limin
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収録物名 |
The International Journal of Advanced Manufacturing Technology
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巻 | 130 |
開始ページ | 2771 |
終了ページ | 2783 |
抄録 |
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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著者キーワード |
Vision measurement
High-temperature measurement
Position-dependent geometric errors
3D printer
Geometric error identification
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内容記述 |
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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言語 |
英語
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資源タイプ | 学術雑誌論文 |
出版者 |
Springer Nature
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発行日 | 2023-12-20 |
権利情報 |
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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出版タイプ | Accepted Manuscript(出版雑誌の一論文として受付されたもの。内容とレイアウトは出版社の投稿様式に沿ったもの) |
アクセス権 | オープンアクセス |
収録物識別子 |
[DOI] https://doi.org/10.1007/s00170-023-12821-z
~の異版である
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備考 | 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' |