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A multi-vision-based system for tube inspection

Peng Jin (Beijing Institute of Technology, Beijing, China)
Jian Hua Liu (Beijing Institute of Technology, Beijing, China)
Shaoli Liu (Beijing Institute of Technology, Beijing, China)
Xiao Wang (Beijing Institute of Technology, Beijing, China)

Assembly Automation

ISSN: 0144-5154

Article publication date: 8 January 2018

Issue publication date: 23 January 2018

248

Abstract

Purpose

Geometric errors are common in metallic bent tubular parts. Thus, tubes should be inspected and fixed before welding with the joints first. After welding, the relative position of the joints is also necessary to be inspected to judge whether the tube can be assembled reliably. Therefore, the inspection plays an important role in the tube’s assembly. The purpose of this paper is to propose a multi-vision-based system designed to inspect the tube and the relative position of the joints.

Design/methodology/approach

For the tube inspection, the small cylinders are taken as the primitives to reconstruct the tube using the multi- vision-based system. Then, any geometric error in the tube can be inspected by comparing the reconstructed models and designed ones. For joints’ inspection, authors designed an adapter with marked points, by which the system can calculate the relative position of the joints.

Findings

The reconstruction idea can recognise the line and arc segments of a tube automatically and resolve the textureless deficiency of the tube’s surface. The joints’ inspection method is simple in operation, and any kinds of joints can be inspected by designing the structure of the adapters accordingly.

Originality/value

By experimental verification, the inspection precision of the proposed system was 0.17 mm; the inspection time was within 2 min. Thus, the system developed can inspect a tube effectively and automatically. Moreover, authors can determine how the springback of the arcs behaves, allowing in-process springback prediction and compensation, which can reduce geometric errors in the tubes given the present bending machine accuracy.

Keywords

Citation

Jin, P., Liu, J.H., Liu, S. and Wang, X. (2018), "A multi-vision-based system for tube inspection", Assembly Automation, Vol. 38 No. 1, pp. 34-50. https://doi.org/10.1108/AA-07-2016-082

Publisher

:

Emerald Publishing Limited

Copyright © 2018, Emerald Publishing Limited

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