4.5 Article

Research on surface normal measurement and adjustment in aircraft assembly

出版社

ELSEVIER SCIENCE INC
DOI: 10.1016/j.precisioneng.2017.07.004

关键词

Aircraft assembly; Normal measurement; Adjustment; Drilling and riveting; Kinematic model; Bracket length measurement

资金

  1. National Natural Science Foundation of China [U1537209]
  2. Innovation Fund for Aerospace Science and Technology [CASC150705]

向作者/读者索取更多资源

Drilling and riveting are commonly used in aircraft panel assembly process. Due to the fixture positioning error and the deformation of workpiece, the real position and orientation of the workpiece as well as its 3D geometry at the drilling position varies from the nominal CAD model, which would cause an unfavorable impact on assembly quality. Therefore, surface normal measurement and adjustment at the drilling position is of great importance. In this paper, a fast and effective non-contact measurement method for normal vector and height of moderately curved surfaces is accomplished by four laser displacement sensors, and a dedicated NC machine tool is also developed for normal adjustment. Firstly, a novel sensor calibration method based on laser tracker is introduced, which can acquire the sensors' position and orientation in Tool Coordinate System (TCS) at the same time. The normal vector at hole position is calculated by cross product of any two non-parallel vectors constructed by the four laser projection points on the panel surface. Secondly, the kinematic model of the machine tool is established to calculate the adjustment of each axis of the machine tool with the Homogeneous Transformation Matrix (HTM). Besides, an innovative method to identify the distance of two rotary centers based on two laser interferometers is proposed. Finally, a series of experiments are conducted to validate the feasibility of the proposed method. The results show that the angle deviation can be reduced to less than 0.5 degrees after adjustment, while the accuracy of the surface height is +/- 0.04 mm. (C) 2017 Elsevier Inc. All rights reserved.

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