Residual oxides detection and measurement in stainless steel production lines

Author

Spinola, C.G. ; Bonelo, J.M. ; Cañero, J.M. ; Espejo, S. ; Morilla, S. ; Luque, R.M. ; Martín-Vazquez, M.J. ; Garcia-Vacas, F. ; Gálvez-Fernández, C. ; Vizoso, J. ; Muñoz-Pérez, J.

Author_Institution

Dept. of Electron., Univ. of Malaga, Malaga

fYear

2009

fDate

11-13 May 2009

Firstpage

76

Lastpage

79

Abstract

In this paper, we present a system to detect and measure the amount of residual oxide stains remaining in the surface of stainless steel coils after the pickling process in a production line. The system is able to acquire clear images of the stainless steel surface with the appropriate illumination and magnification, while it is being produced. These images are processed and analyzed in real time in order to detect and measure the oxide stains which typically are between 50 and 200 microns in size. We present here an outline of the acquisition system and the image processing algorithm which has been designed to detect this sort of defect.

Keywords

image processing; production engineering computing; stainless steel; steel manufacture; acquisition system; image processing algorithm; oxide stains; pickling process; residual oxides detection; residual oxides measurement; stainless steel production lines; Coils; Image processing; Lighting; Production systems; Reflectivity; Rough surfaces; Steel; Surface roughness; Surface treatment; World Wide Web;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Measurement Systems and Applications, 2009. CIMSA '09. IEEE International Conference on

Conference_Location

Hong Kong

Print_ISBN

978-1-4244-3819-8

Electronic_ISBN

978-1-4244-3820-4

Type

conf

DOI

10.1109/CIMSA.2009.5069922

Filename

5069922