Instrumented Trial-Based Models for Efficient Electric Arc Furnace Operation

A modern electric arc furnace (EAF) operation is desired to be time- and energy-efficient with a superior refining capability, maximum alloy yield and maximum refractory life. For such an EAF operation, it is essential to understand the thermo-kinetics of gas/slag/steel/refractory interactions. Current predictive models are reliant and restricted to endpoint (at tap) measurements. Instrumented trials were conducted during EAF operation and models were developed to simultaneously understand refining, alloy yield and refractory/slag saturation as a function of slag/steel composition and temperature. The validated models are compared with literature data and data-driven predictive models which, in combination, augment EAF operational efficiency.

Bikram Konar | EVRAZ North America
 

Naveen Sundaresan Ramesh | EVRAZ North America
 

Andrew Hamilton | EVRAZ North America
 

Kendal Dunnett | EVRAZ North America