Research progress on detection technology of large-size aircraft parts

LI Binpeng; MAO Jian

Volume 35 Issue 4

Feb. 2022

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LI Binpeng, MAO Jian. Research progress on detection technology of large-size aircraft parts[J]. Journal of Shanghai University of Engineering Science, 2021, 35(4): 346-353.

Citation:

LI Binpeng, MAO Jian. Research progress on detection technology of large-size aircraft parts[J]. Journal of Shanghai University of Engineering Science, 2021, 35(4): 346-353.

LI Binpeng, MAO Jian. Research progress on detection technology of large-size aircraft parts[J]. Journal of Shanghai University of Engineering Science, 2021, 35(4): 346-353.

Citation:

LI Binpeng, MAO Jian. Research progress on detection technology of large-size aircraft parts[J]. Journal of Shanghai University of Engineering Science, 2021, 35(4): 346-353.

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Research progress on detection technology of large-size aircraft parts

LI Binpeng,
MAO Jian^,

School of Mechanical and Automotive Engineering, Shanghai University of Engineering Science, Shanghai 201620, China

Received Date: 2021-06-10
Publish Date: 2022-02-23

Abstract

Abstract

Large-size aircraft parts have complex structure and huge external dimension characteristics. In view of the research of large-size measurement technology in the aircraft manufacturing process, five kinds of detection technology methods for large-size parts, like three-coordinate measurement method, LIDAR measurement method, indoor GPS measurement method, laser tracker measurement method and machine vision measurement method were proposed. The applicable fields and respective advantages and short-comings of five detection methods were analyzed. The visual measurement which can achieve real-time measurement has non-contact, high precision and efficiency characteristics. It has a great prospect in the field of aviation measurement. It was pointed out that vision measurement technology is research direction in large-size measurement. A series of issues such as the theoretical models establishment, detection parameters optimization and real-time feedback need to be further studied in the future.
- large-size measurement,
- machine vision,
- laser radar,
- laser tracking,
- indoor GPS

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References(37)

References

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