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Position and orientation best-fitting based on deterministic theory during large scale assembly

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Abstract

Position and orientation (P&O) of the large-size component are very important geometrical quantities, which are observed by digital metrology techniques and controlled by fixed or flexible fixtures during assembly. The observed P&O values are usually calculated using measured coordinates of several points on the surface of the large-size component, based on the precondition that the relative position of those points is unchanged. In this paper, a novel P&O best-fitting algorithm is proposed. The related work firstly discussed the influences of the structural deformation of the large-size component on the P&O observation during assembly, and then introduced a deterministic theory for considering the influences. Based on the deterministic theory, the novel best-fitting algorithm which includes three steps was detailed. Finally, based on a wing-fuselage alignment case, the proposed algorithm is verified to be more accurate than the traditional methods, and the computing process is verging and stable.

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Acknowledgments

Reported research was carried out within confines of the project financed by the National Defense Basic Research Program, China (No: A2720110011) and the Fund of National Engineering and Research Center for Commercial Aircraft Manufacturing (No: SAMC14-JS-15-055).

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Authors and Affiliations

  1. School of Mechanical Engineering and Automation, Beihang University, Beijing, 100191, China

    Zhehan Chen, Fuzhou Du & Xiaoqing Tang

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  1. Zhehan Chen
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  2. Fuzhou Du
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  3. Xiaoqing Tang
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Correspondence to Fuzhou Du.

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Chen, Z., Du, F. & Tang, X. Position and orientation best-fitting based on deterministic theory during large scale assembly. J Intell Manuf 29, 827–837 (2018). https://doi.org/10.1007/s10845-015-1132-7

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  • DOI: https://doi.org/10.1007/s10845-015-1132-7

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