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3D-SWiM : 3D vision based seam width measurement for industrial composite fiber layup in-situ inspection

Zhang, Yinlong (author)
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China; Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110169, China
Yuan, Libiao (author)
College of Information Engineering, Shenyang University of Chemical Technology, Shenyang, 110142, China
Liang, Wei (author)
State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China; Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China; Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110169, China
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Xia, Xiaofang (author)
School of Computer Science and Technology, Xidian University, Xi¡¯an, 710071, China
Pang, Zhibo (author)
KTH,Intelligenta system,Department of Automation Technology, ABB Corporate Research Sweden, Västerås, 72178, Sweden
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 (creator_code:org_t)
Elsevier BV, 2023
2023
English.
In: Robotics and Computer-Integrated Manufacturing. - : Elsevier BV. - 0736-5845 .- 1879-2537. ; 82
  • Journal article (peer-reviewed)
Abstract Subject headings
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  • Industrial composite fiber has been widely used in the high-end manufacturing because of its superior stiffness and strength. To ensure the quality of composite fiber placement in making high-end and lightweight aerospace products, it needs reliable composite fiber layup in-situ inspection. An accurate seam width measurement is an indispensable procedure during the layup inspection. However, the traditional seam measurements may fail in presence of surface curvature variance, curved edges between sheets, to name a few. This paper intentionally designs a novel 3D vision based Seam Width Measurement for Industrial Composite Fiber Layup In-situ Inspection (called 3D-SWiM). It aims to address three major challenges in measuring the seam width between the composite fiber sheets, namely, seam region over-segmentation, failures on region of interests (ROI) seam detection, seam width measurement inconsistency. Firstly, the region growing with semantic refinement is designed for 3D point cloud clustering, to overcome over-segmentation on seam regions. Afterwards, the gridding model with edge discrimination is applied to extract the 3D potential candidates in the edge areas. Eventually, we use the cubic B-spline fitting model to describe the seam region curves and the improved particle swarm optimization model to estimate the minimum and maximum distance between the seam edges. 3D-SWiM has been evaluated extensively on the developed composite fiber layup platform. The comparisons with the state-of-the-art methods (such as HT and GFM) on the region-of-interest segmentation, seam extraction and seam width measurement have been performed and the experimental results prove the competitive performance in composite fiber layup in-situ inspections.

Subject headings

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datorseende och robotik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Vision and Robotics (hsv//eng)

Keyword

3D vision
Composite fiber layup
In-situ inspection
Seam width measurement

Publication and Content Type

ref (subject category)
art (subject category)

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Zhang, Yinlong
Yuan, Libiao
Liang, Wei
Xia, Xiaofang
Pang, Zhibo
About the subject
NATURAL SCIENCES
NATURAL SCIENCES
and Computer and Inf ...
and Computer Vision ...
Articles in the publication
Robotics and Com ...
By the university
Royal Institute of Technology

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