Abstract
This work was designed to investigate the effects of air blast pressure, melting time and fuel consumed on iron melting rate of an erythrophleum suaveolens charcoal-fired cupola furnace. A regression model was formulated and the model validation established the existence of statistically significant relationships between the control variables and iron melting rate. By using the experimental data, R2 value of 99.8 % was obtained, thus confirming that the model is fit since 99.8 % of the variation in melting rate could be explained by the control variables. The coefficients b0ec, b1ec, b2ec and b3ec are -434.656, 423.864, 1.188 and 1.858 respectively; and the output of the t- test showed that regression coefficients b1ec, b2ec and b3ec were not equal to zero (table t-value=t0.025, 11 = 2.201), hence they are statistically significant. The regression model developed in this work as explained by the model analysis can estimate the melting rate as a function of the control variables and form a basis for developing a computer software which may help energy and foundry managers to significantly monitor and improve on the melting rate of cupola furnace.
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