Design of Automatic Painting System for Steam Turbine Stator Assembly Surface

In view of the current problems such as low manual painting efficiency, different sizes and shapes of each set of assemblies, and lack of actual assembly drawings, this paper completes the depth information acquisition and three-dimensional reconstruction of large workpieces by means of the combination of vision and robot, as well as the automatic planning of the painting path on the assembly surface of the steam turbine stator, and constructs a set of automatic painting system suitable for large surface products similar to large workpieces such as steam turbines, so as to realize the automatic painting operation on the assembly surface of the steam turbine stator.

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Publication Details

Published
2024-11-01
DOI
https://doi.org/10.1109/cac63892.2024.10864878
Primary Topic
Advanced Numerical Analysis Techniques
Type
article
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Design of Automatic Painting System for Steam Turbine Stator Assembly Surface

Yinshui Xia, Shuxin Du, Chenhuan Cui, Qiang Yang et al.
Advanced Numerical Analysis Techniques
article

Design of Automatic Painting System for Steam Turbine Stator Assembly Surface

Yinshui Xia, Shuxin Du, Chenhuan Cui, Qiang Yang, Huiying Chen
article en

Abstract

In view of the current problems such as low manual painting efficiency, different sizes and shapes of each set of assemblies, and lack of actual assembly drawings, this paper completes the depth information acquisition and three-dimensional reconstruction of large workpieces by means of the combination of vision and robot, as well as the automatic planning of the painting path on the assembly surface of the steam turbine stator, and constructs a set of automatic painting system suitable for large surface products similar to large workpieces such as steam turbines, so as to realize the automatic painting operation on the assembly surface of the steam turbine stator.

Huzhou Normal University (CN), Henan Tianguan Group (China) (CN)
Affordable and clean energy
Openalex Percentile: Top 72%
Advanced Numerical Analysis Techniques
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