Date of Award
Mechanical, Automotive, and Materials Engineering
Huynh, V. M.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
The surface texture assessment technique involves the use of a He-Ne laser to illuminate a rough surface. The optical Fourier transform pattern is then focused onto a CCD camera, digitized and captured by a digitizer and frame grabber board. The digitized image is fed into a micro-computer for analysis. Analysis of the optical Fourier pattern involves the determination of the grey-level intensity histogram of the pattern. From this histogram several statistical parameters were determined and correlated with the surface roughness. The effect of surface flaws on this technique was also investigated. It was found that when a flaw was present, there was a significant reduction in the R value. This method may be used in this fashion to detect flaws. This technique provides a fast non-contact method of surface texture assessment. The statistical analysis of the optical Fourier transform pattern allows the pattern to be used to assess texture of two dimensional as well as one dimensional surfaces. (Abstract shortened by UMI.)Dept. of Mechanical, Automotive, and Materials Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis1991 .C885. Source: Masters Abstracts International, Volume: 30-04, page: 1457. Supervisor: V. M. Huynh. Thesis (M.A.Sc.)--University of Windsor (Canada), 1991.
Cuthbert, Lawrence., "Surface texture assessment by statistical analysis of optical Fourier transform patterns." (1991). Electronic Theses and Dissertations. 3679.