ADAPTIVE EAF ONLINE CONTROL BASED ON INNOVATIVE SENSORS AND COMPREHENSIVE MODELS

摘要

Within the RFCS project AdaptEAF an innovative EAF process control system is developed and tested, which adapts to the varying scrap properties, striving for reduced energy consumption and improved melting yield. Novel sensors and measurement systems are used to monitor the properties of the actually charged materials. An imaging system is used to estimate the filling level of the scrap baskets just before charging into the EAF. Vibration sensors at the furnace vessel are applied to monitor the scrap melting progress. The amounts of steel, hot heel and slag are determined by means of a dip sensor to measure steel and slag levels, and an imaging system to monitor the bath level in the furnace. This additional process information is used to enhance the functionality and prediction accuracy of dynamic energy and mass balance models for online monitoring of the EAF process status. Within a model and sensor based online control the timing of scrap charging is optimised.The innovative, adaptive EAF process control is applied, tested and evaluated under industrial conditions at the DC EAF of Georgsmarienhutte (GMH).