K. Aistleitner, Werner Haas, Andreas Kugi,
"Neural network for identification of roll eccentricity in rolling mills"
, in Journal of Materials Processing Technology, Nummer 60, Seite(n) 387-392, 6-1996, ISSN: 0924-0136
Original Titel:
Neural network for identification of roll eccentricity in rolling mills
Sprache des Titels:
Englisch
Original Kurzfassung:
The roll eccentricity in a rolling mill may define the limit of achievable thickness tolerances and thus is subject of interest for the automation equipment in hot rolling mills as well as in cold rolling mills. Today's demand on thickness tolerances less than 0,8% require efficient methods for roll eccentricity identification and compensation. This paper should present a solution for identifying roll eccentricity by using a neural network with a comparison to other methods in order to show the advantages and disadvantages for further use in a roll eccentricity compensation. The solution is verified on measured data sets of a cold rolling mill.
Sprache der Kurzfassung:
Englisch
Journal:
Journal of Materials Processing Technology
Number:
60
Seitenreferenz:
387-392
Erscheinungsmonat:
6
Erscheinungsjahr:
1996
ISSN:
0924-0136
Anzahl der Seiten:
6
Notiz zur Publikation:
Aistleitner K., Mattersdorfer L., Haas W., Kugi A.: Neural network for identification of roll eccentricity in rolling mills, In: Journal of Materials Processing Technology, Vol. 60, ISSN: 0924-0136, pp. 387-392, 1996.
Forschungs-