Steel Water Continuous Casting Slag Detection System Based on Wavelet

Article Preview

Abstract:

Based on a large number of investigation and analysis for slag detection system (SDS), a kind of automatic SDS using vibration measurements had been put forward in this paper. After studying casting process from ladle to pouring box and protection casting supporting mechanical structure, vibration dynamics model of supporting structure was established, also variation of steel water impact force and influencing factors of inspecting spot vibration are analyzed. Theories of wavelet, wavelet package and their applications in signal processing are presented. Vibration signal of steel water was processed by the way of wavelet package, then its eigenvector and tolerance range were obtained, and that can realize effective identification for steel water status. Experimental results indicate that this system is very effective and achieves anticipated outcomes.

You might also be interested in these eBooks

Info:

Periodical:

Key Engineering Materials (Volumes 353-358)

Pages:

3067-3071

Citation:

Online since:

September 2007

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2007 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] P.Y. Li, M.X. Zhao. Current status and prospect of study on outflow slag detection at ladle in continuous casting. Steelmaking, 2003, 19(3): 16-22.

Google Scholar

[2] M. Tokuda. Development of detection system by optical method for slag entrained to teeming stream in continuous casting process. Journal of the Iron and Steel Institute of Japan, 2002, 99(9): 500-506.

DOI: 10.2355/tetsutohagane1955.88.9_500

Google Scholar

[3] D.Q. Huang, H.Y. Zhou. Protection casting technics practice of ladle long water slot. Heavy Steel Technology, 1991, 34(3): 78-83.

Google Scholar

[4] M.G. Mini, V.P. Devassia, T. Thomas. Multiplexed wavelet transform technique for detection of microcalcification in digitized mammograms. Journal of Digital Imaging, 2004, 17(4): 285-291.

DOI: 10.1007/s10278-004-1020-8

Google Scholar

[5] S.M. Li. Wavelet package analysis of non-stationary mechanical vibration signal. Chinese Journal of Applied Mechanics, 1997, 14(3): 48-53.

Google Scholar