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International Standard Serial Number:
ISSN 1001-4551
Sponsor:
Zhejiang University;
Zhejiang Machinery and Electrical Group
Edited by:
Editorial of Journal of Mechanical & Electrical Engineering
Chief Editor:
ZHAO Qun
Vice Chief Editor:
TANG ren-zhong,
LUO Xiang-yang
Tel:
86-571-87041360,87239525
Fax:
86-571-87239571
Add:
No.9 Gaoguannong,Daxue Road,Hangzhou,China
P.C:
310009
E-mail:
meem_contribute@163.com
Abstract: Aiming at the problem that the diameter and roundness of pipes with different specifications and sizes could not be detected quickly and accurately in the process of expanding, an accurate detection method of diameter and roundness of expanding pipes based on point cloud data reconstruction was proposed. Firstly, an accurate detection system for diameter and roundness of expanding pipe based on point cloud data reconstruction was built, and the uncertainty of the system was analyzed. Then,the imaging and calibration principle of laser line scanning sensor were analyzed, and the system was calibrated by calibration block. Finally, the online detection experiment of pipe diameter and roundness of different specifications and sizes was carried out, denoising and stitching processing were carried out on the collected point cloud images, and the accuracy after stitching and reconstruction was analyzed and studied. The results show that for pipes of 400mm, 1000mm and 1600mm, the system can achieve accurate measurement of diameter and roundness. The maximum error of diameter and roundness is less than 0.266mm and 0.427mm, and the maximum repeatability error is 0.130mm and 0.170mm, which can meet the processing requirements of expanding pipes. It provides an effective technical means for the accurate and rapid measurement of diameter and roundness in the process of expanding pipes of different sizes.
Key words: diameter and roundness online detection; laser line scanning sensor; calibration block; point cloud data reconstruction; denoising, stitching and refactoring; system uncertainty analysis
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- Chinese Core Periodicals
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- Chinese Sci-tech Core Periodicals
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- SA, INSPEC Indexed
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- CSA: T Indexed
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- UPD:Indexed
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2010 Zhejiang Information Institute of Mechinery Industry
Technical Support：Hangzhou Bory science and technology
