A Coaxial Alignment Method for Large Flange Parts Assembly Using Multiple Local Images

The large flange parts in aero-engines are usually manually assembled. Collision damage caused by assembly alignment error often occurs in the assembly process, which affects the assembly accuracy and product reliability. The machine vision-based alignment methods usually achieve the high-precision...

Full description

Bibliographic Details
Main Authors: Weichen Sun, Zhijing Zhang, Weimin Zhang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9336000/
_version_ 1818874265171132416
author Weichen Sun
Zhijing Zhang
Weimin Zhang
author_facet Weichen Sun
Zhijing Zhang
Weimin Zhang
author_sort Weichen Sun
collection DOAJ
description The large flange parts in aero-engines are usually manually assembled. Collision damage caused by assembly alignment error often occurs in the assembly process, which affects the assembly accuracy and product reliability. The machine vision-based alignment methods usually achieve the high-precision measurement of the parts by obtaining the high-resolution images of the whole parts with a combination of laser distance sensors. Hence, existing methods are high costly and inefficient. In this paper, a new alignment method based on the principle of coaxial alignment for large flange parts is proposed. The proposed method first obtains multiple high-precision image pairs from the local field of views at the fitting surfaces of flanges. The clearance and bolt holes in each image pair are then extracted via edge recognition and Hough Transformation. Two optimization models are built to calculate the translation adjustment and rotation adjustment. The optimization model 1 is built with the translation adjustments of the flange as the variables and the consistency of the clearances as the objective function. The algorithm to solve the model based on the gradient-descent method is proposed. The positions of the bolt holes in the images are subsequently adjusted based on the translation adjustment, and the rotation adjustment is calculated by solving the built optimization model 2. The experiments show that the proposed method can be applied to the assembly process of large flange parts, and the visual servo control model based on this method also has good stability.
first_indexed 2024-12-19T13:07:51Z
format Article
id doaj.art-cc8e6a8e8f5f4af791c702a8a6c9e8bf
institution Directory Open Access Journal
issn 2169-3536
language English
last_indexed 2024-12-19T13:07:51Z
publishDate 2021-01-01
publisher IEEE
record_format Article
series IEEE Access
spelling doaj.art-cc8e6a8e8f5f4af791c702a8a6c9e8bf2022-12-21T20:20:00ZengIEEEIEEE Access2169-35362021-01-019167161672710.1109/ACCESS.2021.30546189336000A Coaxial Alignment Method for Large Flange Parts Assembly Using Multiple Local ImagesWeichen Sun0https://orcid.org/0000-0003-4359-4534Zhijing Zhang1https://orcid.org/0000-0002-4305-9761Weimin Zhang2School of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaSchool of Mechanical Engineering, Beijing Institute of Technology, Beijing, ChinaThe large flange parts in aero-engines are usually manually assembled. Collision damage caused by assembly alignment error often occurs in the assembly process, which affects the assembly accuracy and product reliability. The machine vision-based alignment methods usually achieve the high-precision measurement of the parts by obtaining the high-resolution images of the whole parts with a combination of laser distance sensors. Hence, existing methods are high costly and inefficient. In this paper, a new alignment method based on the principle of coaxial alignment for large flange parts is proposed. The proposed method first obtains multiple high-precision image pairs from the local field of views at the fitting surfaces of flanges. The clearance and bolt holes in each image pair are then extracted via edge recognition and Hough Transformation. Two optimization models are built to calculate the translation adjustment and rotation adjustment. The optimization model 1 is built with the translation adjustments of the flange as the variables and the consistency of the clearances as the objective function. The algorithm to solve the model based on the gradient-descent method is proposed. The positions of the bolt holes in the images are subsequently adjusted based on the translation adjustment, and the rotation adjustment is calculated by solving the built optimization model 2. The experiments show that the proposed method can be applied to the assembly process of large flange parts, and the visual servo control model based on this method also has good stability.https://ieeexplore.ieee.org/document/9336000/Coaxial alignmentlarge flange partsassemblymachine vision
spellingShingle Weichen Sun
Zhijing Zhang
Weimin Zhang
A Coaxial Alignment Method for Large Flange Parts Assembly Using Multiple Local Images
IEEE Access
Coaxial alignment
large flange parts
assembly
machine vision
title A Coaxial Alignment Method for Large Flange Parts Assembly Using Multiple Local Images
title_full A Coaxial Alignment Method for Large Flange Parts Assembly Using Multiple Local Images
title_fullStr A Coaxial Alignment Method for Large Flange Parts Assembly Using Multiple Local Images
title_full_unstemmed A Coaxial Alignment Method for Large Flange Parts Assembly Using Multiple Local Images
title_short A Coaxial Alignment Method for Large Flange Parts Assembly Using Multiple Local Images
title_sort coaxial alignment method for large flange parts assembly using multiple local images
topic Coaxial alignment
large flange parts
assembly
machine vision
url https://ieeexplore.ieee.org/document/9336000/
work_keys_str_mv AT weichensun acoaxialalignmentmethodforlargeflangepartsassemblyusingmultiplelocalimages
AT zhijingzhang acoaxialalignmentmethodforlargeflangepartsassemblyusingmultiplelocalimages
AT weiminzhang acoaxialalignmentmethodforlargeflangepartsassemblyusingmultiplelocalimages
AT weichensun coaxialalignmentmethodforlargeflangepartsassemblyusingmultiplelocalimages
AT zhijingzhang coaxialalignmentmethodforlargeflangepartsassemblyusingmultiplelocalimages
AT weiminzhang coaxialalignmentmethodforlargeflangepartsassemblyusingmultiplelocalimages