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Automated detection of surface defects on power transmission belts

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Abstract

Development of a new method for an automated detection of surface defects on synchronous belts is presented and demonstrated on a group of samples with typical surface defects. Three-dimensional shape of the belt teeth is initially measured by a laser scanning system and further processed using a novel approach based on deviation map analysis. A deviation map shows deviations between the measured surface and a predefined reference surface of the tooth. Defects are detected and classified on the base of the deviation parameters calculated from the deviation map. The developed method produces results that correspond well with the results of the visual inspection.

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References

  1. Sluga A, Butala P, Peklenik J (2005) A conceptual framework for collaborative design and operations of manufacturing work systems. CIRP Ann 54(1):437–444

    Article  Google Scholar 

  2. Butala P, Sluga A (2006) Autonomous work systems in manufacturing networks. CIRP Ann 55(1):521–524

    Article  Google Scholar 

  3. Zheng J, Li Z, Chen X (2006) Worn area modelling for automating the repair of turbine blades. Int J Adv Manuf Technol 29:1062–1067

    Article  Google Scholar 

  4. Chang CL, Chen YH (2005) Measurements of fillet weld by 3D laser scanning system. Int J Adv Manuf Technol 25:466–470

    Article  Google Scholar 

  5. Bračun D, Gruden V, Možina J (2008) A method for surface quality assessment of die-castings based on laser triangulation. Meas Sci Technol. doi:10.1088/0957-0233/19/4/045707

  6. Perdan B, Bračun D, Diaci J, Možina J (2010) Online assessment of power transmission belt geometry by using laser triangulation and profile parameterisation. Int J Adv Manuf Technol 49:177–184. doi:10.1007/s00170-009-2378-z

    Article  Google Scholar 

  7. Chen CY, Lin JW, Chen CW (2010) Fuzzy control for an oceanic structure: a case study in time-delay TLP system. J Vib Control 16(1):147–160

    Article  MathSciNet  Google Scholar 

  8. Hsiao FH, Xu SD, Lin CY, Tsai ZR (2008) Robustness design of fuzzy control for nonlinear multiple time-delay large-scale systems via neural-network-based approach, IEEE transactions on systems, man, and cybernetics. Part B (Cybernetics) 38:244–251

    Article  Google Scholar 

  9. Vukašinović N, Korošec M, Duhovnik J (2010) The Influence of Surface Topology on the Accuracy of Laser Triangulation Scanning Results. Strojniški vestnik–J Mech Eng 56:23–30

    Google Scholar 

  10. Vukašinović N, Bračun D, Možina J, Duhovnik J (2010) The influence of incident angle, object colour and distance on CNC laser scanning. Int J Adv Manuf Technol. doi:10.1007/s00170-009-2493-x

  11. Gorkič A, Jezeršek M, Možina J, Diaci J (2006) Measurement of weldpiece distortion during pulsed laser welding using rapid laser profilometry. Sci Technol Weld Joining 11:48–56

    Article  Google Scholar 

  12. Zexiao X, Jianguo W, Ming J (2007) Study on a full field of view laser scanning system. Int J Mach Tools Manuf 47:33–43

    Article  Google Scholar 

  13. Bračun D, Jezeršek M, Diaci J (2006) Triangulation model taking into account light sheet curvature. Meas Sci Technol 17(8):2191–2196

    Article  Google Scholar 

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Correspondence to Boštjan Perdan.

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Perdan, B., Bračun, D. & Diaci, J. Automated detection of surface defects on power transmission belts. Int J Adv Manuf Technol 53, 267–273 (2011). https://doi.org/10.1007/s00170-010-2841-x

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  • DOI: https://doi.org/10.1007/s00170-010-2841-x

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