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

Zhehan Chen, Fuzhou Du () and Xiaoqing Tang
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Zhehan Chen: Beihang University
Fuzhou Du: Beihang University
Xiaoqing Tang: Beihang University

Journal of Intelligent Manufacturing, 2018, vol. 29, issue 4, No 6, 827-837

Abstract: 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.

Keywords: Position and orientation; Best-fitting; Deterministic theory; Digital metrology techniques; Large-size assembly (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (1)

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DOI: 10.1007/s10845-015-1132-7

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