A SYSTEM FOR ONLINE PREDICTION OF STRIP TEMPERATURE AT THE FINISHING STANDS OF HOT STRIP MILL

摘要

A system for predicting strip temperature in finishing stands of hot strip mill involving mathematical-Statistical-Artificial Neural Network(ANN) based hybrid thermal model for online acquisition, analysis, and predict temperature along strip length before and after each stand of finishing stands of hot strip mill. The system soft ware is adapted to receive the input data from pyrometer located before F1 and after F6, and other data relating to roll gap setting, speed setting and diameter of work rolls via a PLC system connected with OPC network to a computer system termed Process Work Station(PWS). The output is displayed to operator in another computer system viz Operator Workstation(OWS). Operator controls the finishing stand setting based on this feedback. The hybrid thermal model wherein mathematical model is based on heat transfer in finishing stands consisting of radiation heat transfer, convection heat transfer with roll cooling water, conduction heat loss to work rolls and heat generation due to plastic deformation. The model predicts finishing stand temperatures with less than 1.5% error.