Skip to content Skip to navigation
University of Warwick
  • Study
  • |
  • Research
  • |
  • Business
  • |
  • Alumni
  • |
  • News
  • |
  • About

University of Warwick
Publications service & WRAP

Highlight your research

  • WRAP
    • Home
    • Search WRAP
    • Browse by Warwick Author
    • Browse WRAP by Year
    • Browse WRAP by Subject
    • Browse WRAP by Department
    • Browse WRAP by Funder
    • Browse Theses by Department
  • Publications Service
    • Home
    • Search Publications Service
    • Browse by Warwick Author
    • Browse Publications service by Year
    • Browse Publications service by Subject
    • Browse Publications service by Department
    • Browse Publications service by Funder
  • Statistics
  • Help & Advice
University of Warwick

The Library

  • Login

Detecting subtle cosmetic defects in automotive skin panels

Tools
- Tools
+ Tools

Hazra, S. (Sumit), Williams, D. K. (David K.), Roy, Rajat and Aylmore, R.. (2008) Detecting subtle cosmetic defects in automotive skin panels. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Volume 222 (Number 11). pp. 2203-2207. ISSN 0954-4062

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1243/09544062JMES910

Abstract

Cosmetic defects, such as 'hollows', are deviations in topology of automotive skin panels that form as a result of springback at the end of the forming process. These deviations are usually too small and local to be detected by discrete measurements of the panel but become visually apparent after the application of paint. As a result, the perceived quality of a panel may become unacceptable and considerable time may be dedicated to minimizing their occurrence through tool modifications. This paper proposes that there are three aspects to the problem. The first is the springback of the panel, the second is the optics of the painted panel, and the third is the ability of human sight to perceive a defect. In particular, it is argued that hollows cause optical distortions that inform the human eye of the presence of a defect. The paper then suggests that signal processing techniques, in particular the wavelet transform, provide a way to relate the geometry of a hollow to the resulting optical distortion. The transform was applied to two physical parts and the paper will discuss the effectiveness of the transform in locating and quantifying the relative severities of the defects that were present.

Item Type: Journal Article
Subjects: T Technology > TJ Mechanical engineering and machinery
Divisions: Faculty of Science > WMG (Formerly the Warwick Manufacturing Group)
Library of Congress Subject Headings (LCSH): Surfaces (Technology) -- Defects, Wavelets (Mathematics), Optics
Journal or Publication Title: Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
Publisher: Sage Publications Ltd.
ISSN: 0954-4062
Date: November 2008
Volume: Volume 222
Number: Number 11
Number of Pages: 5
Page Range: pp. 2203-2207
Identification Number: 10.1243/09544062JMES910
Status: Peer Reviewed
Publication Status: Published
Access rights to Published version: Restricted or Subscription Access
Funder: Advantage West Midlands (AWM)
References: 1 Dutton, T. and Pask, E. Visualisation of surface defects in sheet metal panels. In the 5th International. LS-DYNA Users Conference, Detroit, Michigan, 21–22 September 1998. 2 Asnafi, N. On springback of double-curved autobody panels. Int. J.Mech. Sci., 2001, 43, 5. 3 Andersson,A.Macro-geometric defects – a numerical and experimental study of springbackandsurface defects.PhD Thesis, Lund University, Lund, 2004. 4 Hecht, E. Optics, 1998 (AddisonWesley, Harlow). 5 Bartoe, R. D. The dynamics of ceramic rollers and operating and maintenance practices to produce quality tempered glass. In Proceedings of the Glass Processing Days, 18–21 June 2001. 6 ASTMC1652/C1652M.Measuring distortion in flat glass products using digital photography of grids, 2006. 7 Timoshenko, S. P. and Goodier, J. N. Theory of elasticity, 3rd edition, 1970 (McGraw-Hill Inc., New York). 8 Webb, R. D. and Hardt,D. E. A transfer function description of sheet metal forming for process control. Trans. ASME, J. Eng. Ind., 1991, 113, 44. 9 Tonks, M. R., Chase, K. W., and Smith, C. C. Predicting deformation of compliant assemblies using covariant statistical tolerance analysis. In Models for computer aided tolerancing in design and manufacturing (Ed. J. K. Davidson), 2007, p. 321. 10 Huang, W. and Cegrarek, D. Mode-based decomposition of part formerror by discrete-cosine-transformwith implementation to assembly and stamping system with compliant parts. Ann. CIRP, 2002, 51, 21. 11 Kase, K.,Makinouchi, A., Nakagawa, T., Suzuki, H., and Kimura, F. Shape error evaluation method of free-form surfaces. Comput. Aided Des., 1999, 31, 495. 12 Chen,X.,Raja, J.,and Simanapalli,S.Multi scale analysis of engineering surfaces. Int. J.Mach. ToolsManuf., 1995, 35(2), 231. 13 Zheng, K. and Whitehouse, D. J. The application of the Wigner distribution function to machine tool monitoring. Proc. Instn Mech. Engrs, Part C: J. Mechanical Engineering Science, 1992, 206, 249. 14 Daubechies, I. Ten lectures on wavelets, 1992 (CBMSNSF, Society for Industrial and Applied Mathematics, Philadelphia). 15 Mallat, S. A wavelet tour of signal processing, 1999 (Academic Press, London). 16 Hubbard, B. B. The world according to wavelets, 1996 (AK Peters Ltd.,Wellesley, MA). 17 Poularikas, A. D. The transforms and applications handbook, 2000 (CRC Press, Boca Raton, FL). 18 Peng, Z. K. and Chu, F. L. Application of the wavelet transform in machine condition monitoring and fault diagnostics: a review with bibliography. Mech. Syst. Signal Process., 2004, 18, 199. 19 Misiti, M., Misiti, Y., Oppenheim, G., and Poggi, J.-M. Wavelet toolbox – for use with Matlab, users guide, version 3, 2006 (TheMathworks Inc., Natick, MA). 20 Raja, J.,Muralikrishnan, B., and Fu, S. Recent advances in separation of roughness, waviness and form. Prec. Eng., 2002, 26, 222. 21 Abry,P. Ondelettes et turbulence.Multirésolutions, algorithmes de décomposition, invariance d’échelles, 1997 (Diderot Editeur, Paris). 22 Gabor, D. Theory of communication. J. Inst. Electron Eng., 1946, 93(III), 29. 23 Palmer, S. E.Vision science – photons to phenomenology, 1999 (MIT Press, Cambridge, MA). 24 Rucka, M. and Wilde, K. Application of continuous wavelet transform in vibration based damage detection method for beams and plates. J. Sound Vibr., 2006, 297, 536.
URI: http://wrap.warwick.ac.uk/id/eprint/28890

Data sourced from Thomson Reuters' Web of Knowledge

Request changes to a record

Actions (login required)

View Item View Item
twitter

Email us: publications@warwick.ac.uk
Contact Details
About Us