scholarly journals Fast Assembly Tolerance Inspection Method Using Feature-Based Adaptive Scale Reduction in Automatic Assembly Line

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 113860-113877
Author(s):  
Ci He ◽  
Lemiao Qiu ◽  
Shuyou Zhang ◽  
Zili Wang ◽  
Yang Wang
Keyword(s):  
Assembly Line ◽  
Automatic Assembly ◽  
Inspection Method ◽  
Assembly Tolerance ◽  
Scale Reduction ◽  
Feature Based

The concept of an automatic assembly line for microscope objectives, based on adaptive selection of their components

2009 ◽  
Vol 76 (7) ◽  
pp. 436 ◽  
Author(s):  
S. M. Latyev ◽  
A. P. Smirnov ◽  
A. A. Voronin ◽  
B. S. Padun ◽  
E. I. Yablochnikov ◽  
...  
Keyword(s):  
Assembly Line ◽  
Automatic Assembly ◽  
Adaptive Selection ◽  
Selection Of

Laser Welding in Automatic Assembly Line for Color-CRT Electron Gun

CIRP Annals ◽  
1983 ◽  
Vol 32 (1) ◽  
pp. 135-139 ◽  
Author(s):  
Yasunori Shimoi ◽  
Naomi Hoshina ◽  
Kenji Ushimi ◽  
Hideo Konno ◽  
Akira Kobayashi
Keyword(s):  
Laser Welding ◽  
Assembly Line ◽  
Electron Gun ◽  
Automatic Assembly

Scale and Pose-Invariant Feature Quality Inspection for Freeform Geometries in Additive Manufacturing

2019 ◽  
Vol 141 (12) ◽  
Author(s):  
Yu Jin ◽  
Harry Pierson ◽  
Haitao Liao
Keyword(s):  
Additive Manufacturing ◽  
Point Cloud ◽  
Quality Inspection ◽  
Point Cloud Data ◽  
Inspection Method ◽  
Cloud Data ◽  
Geometric Dimensioning And Tolerancing ◽  
Geometric Inspection ◽  
3D Scanners ◽  
Feature Based

Abstract Additive manufacturing (AM) has the unprecedented ability to create customized, complex, and nonparametric geometry, and it has made this ability accessible to individuals outside of traditional production environments. Geometric inspection technology, however, has yet to adapt to take full advantage of AM’s abilities. Coordinate measuring machines are accurate, but they are also slow, expensive to operate, and inaccessible to many AM users. On the other hand, 3D-scanners provide fast, high-density measurements, but there is a lack of feature-based analysis techniques for point cloud data. There exists a need for developing fast, feature-based geometric inspection techniques that can be implemented by users without specialized training in inspection according to geometric dimensioning and tolerancing conventions. This research proposes a new scale- and pose-invariant quality inspection method based on a novel location-orientation-shape (LOS) distribution derived from point cloud data. The key technique of the new method is to describe the shape and pose of key features via kernel density estimation and detect nonconformities based on statistical divergence. Numerical examples are provided and tests on physical AM builds are conducted to validate the method. The results show that the proposed inspection scheme is able to identify form, position, and orientation defects. The results also demonstrate how datum features can be incorporated into point cloud inspection, that datum features can be complex, nonparametric surfaces, and how the specification of datums can be more intuitive and meaningful, particularly for users without special training.

Vibrodiagnostics and its Application in Manufacturing Practice

2013 ◽  
Vol 390 ◽  
pp. 220-224 ◽  
Author(s):  
Katarina Monkova ◽  
Peter Monka
Keyword(s):  
Mass Production ◽  
Assembly Line ◽  
Operating Mode ◽  
Inspection Method ◽  
Inspection Station

The article deals with the problems that originated at the testing of electromotors after their assembling. The laser inspection station for several types of electromotors was built as the part of assembly line for mass production of electromotors. At the testing, relatively frequent failures of the station were observed. As the inspection method for problems definition was used the vibrodiagnostics. It showed that errors were caused by the deficient fixing of motors during the testing. On the bases of vibration analyses results it was realized the station frame strengthening and so the improvement of operating mode of station.

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