Hole position quick modification method for automatic drilling and riveting system considering workpiece pose deviation.

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Title: Hole position quick modification method for automatic drilling and riveting system considering workpiece pose deviation.
Authors: Qi, Zhenchao1 (AUTHOR) qizhenchao2007@foxmail.com, Yan, Qiubai2 (AUTHOR) yanqiubai@163.com, Wang, Min1 (AUTHOR) wangm@nuaa.edu.cn, Chen, Wenliang1 (AUTHOR) cwlme@nuaa.edu.cn, Tian, Wei1 (AUTHOR) tw_nj@nuaa.edu.cn
Source: International Journal of Advanced Manufacturing Technology. Sep2019, Vol. 104 Issue 1-4, p1303-1310. 8p.
Subjects: Workpieces, Modifications, Lead time (Supply chain management), Statistical sampling, Quaternions
Abstract: Workpiece pose deviation is inevitable during automatic drilling and riveting in aircraft assembly, and it either leads to increased time cost or decreased position accuracy with the present methods. This study aims to propose a quick modification method to modify the coordinates of assembly holes based on online detection of the position of pre-assembly holes considering the effect of abnormal data caused by workpiece pose deviation. In the case of hole-making in the double curvature skin region of three pre-assembly holes, the space transformation matrix is determined using the unit quaternion method in accordance with the on-line detection of the hole position coordinates. In the case of more than three assembly holes with abnormal data, a new modification method using a random sampling consistency RANSAC algorithm is used to optimize the spatial transformation matrix and eliminate the abnormal data effectively. This method has been integrated into automatic drilling and riveting systems. Numerical simulation and experiment tests were conducted, and the result comparison showed that the method has obvious positive effect dealing with the abnormal data considering component pose deviation, which proves the effectiveness of the method. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Hole position quick modification method for automatic drilling and riveting system considering workpiece pose deviation.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Advanced+Manufacturing+Technology%22">International Journal of Advanced Manufacturing Technology</searchLink>. Sep2019, Vol. 104 Issue 1-4, p1303-1310. 8p.
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  Data: <searchLink fieldCode="DE" term="%22Workpieces%22">Workpieces</searchLink><br /><searchLink fieldCode="DE" term="%22Modifications%22">Modifications</searchLink><br /><searchLink fieldCode="DE" term="%22Lead+time+%28Supply+chain+management%29%22">Lead time (Supply chain management)</searchLink><br /><searchLink fieldCode="DE" term="%22Statistical+sampling%22">Statistical sampling</searchLink><br /><searchLink fieldCode="DE" term="%22Quaternions%22">Quaternions</searchLink>
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  Data: Workpiece pose deviation is inevitable during automatic drilling and riveting in aircraft assembly, and it either leads to increased time cost or decreased position accuracy with the present methods. This study aims to propose a quick modification method to modify the coordinates of assembly holes based on online detection of the position of pre-assembly holes considering the effect of abnormal data caused by workpiece pose deviation. In the case of hole-making in the double curvature skin region of three pre-assembly holes, the space transformation matrix is determined using the unit quaternion method in accordance with the on-line detection of the hole position coordinates. In the case of more than three assembly holes with abnormal data, a new modification method using a random sampling consistency RANSAC algorithm is used to optimize the spatial transformation matrix and eliminate the abnormal data effectively. This method has been integrated into automatic drilling and riveting systems. Numerical simulation and experiment tests were conducted, and the result comparison showed that the method has obvious positive effect dealing with the abnormal data considering component pose deviation, which proves the effectiveness of the method. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Advanced Manufacturing Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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      – Type: doi
        Value: 10.1007/s00170-019-04146-7
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      – Code: eng
        Text: English
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        StartPage: 1303
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      – SubjectFull: Workpieces
        Type: general
      – SubjectFull: Modifications
        Type: general
      – SubjectFull: Lead time (Supply chain management)
        Type: general
      – SubjectFull: Statistical sampling
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      – SubjectFull: Quaternions
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      – TitleFull: Hole position quick modification method for automatic drilling and riveting system considering workpiece pose deviation.
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            NameFull: Qi, Zhenchao
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            NameFull: Yan, Qiubai
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            NameFull: Wang, Min
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            NameFull: Chen, Wenliang
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            NameFull: Tian, Wei
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            – D: 01
              M: 09
              Text: Sep2019
              Type: published
              Y: 2019
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