Prediction of Work Parameters in a Cold Mill Using Neural Network
Journal Title: Analele Universitatii "Dunarea de Jos" din Galati. Fascicula IX, Metalurgie si Stiinta Materialelor - Year 2006, Vol 29, Issue 1
Abstract
The accurate prediction of work parameters is essential for a quality product. A mathematical model is used for parameters calculus. It is important to directly predict the roll force and the other parameters and to compute a corrective coefficient. Combining the network of work parameters and the mathematical model grove up the possibility to obtain parameter who give a new quality for laminates strip.
Authors and Affiliations
Ștefan DRAGOMIR, Marian BORDEI, Beatrice TUDOR
Keywords
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