Modeling, Optimization and Simulation of input parameters for optimum specific fuel (energy) consumption of LDO fired Rotary furnace

The rising demand for high quality castings necessitates that vast amount of manufacturing knowledge be incorporated in manufacturing systems. Rotary furnace involves several critical parameters like flame temperature, preheat air temperature, rotational speed of the furnace, excess air percentage, melting time, fuel consumption and melting rate of the molten metal which should be controlled throughout the melting process. A complex relationship exists between these manufacturing parameters and hence there is a need to develop models which can capture this complex interrelationship and enable fast computation. In this paper the applicability and the relative effectiveness of Regression and Numerical technique for modeling and optimization of rotary furnace parameters have been investigated. The results obtained by these models are found to correlate well with the experimental data obtained from the Rotary Furnace.