Application of Optical Inspection Method for Testing the Correctness of Ball Bearings Assembly

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Abstract:

The article presents the optical inspection method for the correct assembly of bearings with rolling elements in the form of balls. During the assembly process, faults can occur of incomplete fill of the rolling elements in a bearing cage or a lack of rivets for fixing both parts of the cage. These are critical defects, disqualifying the bearing from the operation. In order to detect these faults, the method of backlighting was used in the form of a modular LED panel illuminator located under the inspected bearing. The chosen method of lighting provides a high contrast and good sharpness with a simultaneous low sensitivity to contamination that may arise in the field of view of the camera. In order to verify the developed method, an experimental automated research stand was made. For vision inspection, a modular vision controller with a monochromatic CCD camera was used. Due to the range of bearings subjected to vision inspection, the algorithm of the program allows automatic detection of the bearing type based on its characteristics. The operation of the vision system was presented for each of the individual stages of the inspection process. The functions used in the field of computer-based image processing and analysis were described. Examples of bearing inspections, with use of the developed method, were presented.

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Periodical:

Solid State Phenomena (Volume 223)

Pages:

264-271

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Online since:

November 2014

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* - Corresponding Author

[1] P. Czajka, P. Garbacz., The optical inspection method in the process of assembly of roller bearings, Problemy Eksploatacji, Radom, 4/2011, pp.65-78 (in Polish).

Google Scholar

[2] T. Wójcicki, P. Czajka , T. Giesko , Automatic inspection of gaskets assembly in roller bearings with the use of computer based processing and image analysing methods, Technologia i Automatyzacja Montażu, Warsaw, 3/2010, pp.26-31 (in Polish).

Google Scholar

[3] X. Jiang , M. Khasawneh , S. Kaewkuekool , S. Bowling , B. Melloy, A. Gramopadhye, Correlating Trust with Signal Detection Theory Measures in a Hybrid Inspection System, Proceedings of Industrial Engineering Research Conference, Oregon, May, (2003).

DOI: 10.1016/j.ergon.2004.05.003

Google Scholar

[4] P. B. Prasad , Machine Vision Systems and Image Processing with Applications, Journal of Innovation in Computer Science and Engineering, 2/(2013).

Google Scholar

[5] Indira Gandhi National Open University, Computer Integrated Manufacturing Course Papers, Unit 2: Automated Inspection System, pp.25-37.

Google Scholar

[6] Timken Ball Bearing Catalog, http: /www. timken. com.

Google Scholar

[7] T. Giesko, Lighting methods in 3-D machine vision systems, Problemy Eksploatacji, Radom, 1/2005, pp.43-51.

Google Scholar

[8] Keyence CV-X200/X100 Series Instruction Manual, http: /www. keyence. eu.

Google Scholar

[9] 3021/3023 BuckPuck Wide Range LED Power Module Data Sheet, http: /www. luxdrive. com.

Google Scholar

[10] M. Raman, A. Himanshu , Study and Comparison of Various Image Edge Detection Techniques, International Journal of Image Processing, 01/(2009).

Google Scholar

[11] Moeslund T. B. , Introduction to Video and Image Processing: Building Real Systems and Applications, Undergraduate Topics in Computer Science, Springer-Verlag, London, 2012, p.103.

DOI: 10.1007/978-1-4471-2503-7_7

Google Scholar

[12] S. Sadoulet , J. Harvey , Using Telecentric Lenses, Graftek Imaging http: /www. graftek. com.

Google Scholar