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Roll load is a critical design parameter in steel rolling operation and mill setup. In this work a parsimonious roll load prediction model was developed using a neural network (NN). Design techniques based on orthogonal arrays were adopted for the allocation of the rolling process conditions, while a validated finite element (FE) code was used to generate the roll load data based on the process conditions...
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