Open AccessDevelopment of a Statistical Model for the Effects of Air Blast Pressure, Melting Time and Fuel Consumed on Iron Melting Rate of an Erythrophleum Suave lens Charcoal-Fired Cupola Furnace
Author(s) -
A.A.G. Olorunnishola,
S. A. Anjorin
Publication year - 2019
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1378/4/042026
Subject(s) - linear regression , cupola , regression analysis , blast furnace , standard deviation , environmental science , metallurgy , chemistry , mathematics , analytical chemistry (journal) , statistics , materials science , environmental chemistry
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, R 2 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 b 0ec , b 1ec , b 2ec and b 3ec are -434.656, 423.864, 1.188 and 1.858 respectively; and the output of the t - test showed that regression coefficients b 1ec , b 2ec and b 3ec were not equal to zero (table t-value= t 0.025, 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.