Regression Modeling and Analysis of Experimentally Investigated Effect of Oxygen enrichment of Preheated air on Specific Fuel/Energy consumption of L.D.O. fired Rotary Furnace

摘要

This paper deals with modeling and simulation of oxygen consumption for enrichment of preheated air in LDO-fired rotary furnace for optimal specific fuel and energy consumption using regression modeling method and artificial neural networks. The authors conducted experimental investigation on oxygen enrichment of preheated air in a rotary furnace in an industry. The maximum percentage variation between actual experimental and regression analyzed specific fuel /energy consumption is -0.4491% and between regression modeled is 14.11385%which is well within the permissible limits.