Statistical Model of The Postcombustion Subprocess in an
Oven of Multiple Hearth Furnace
Volume 2 - Issue 2
Deynier Montero Góngora*
Received: September 19, 2019; Published: September 30, 2019
DOI: 10.32474/ARME.2019.02.000133
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Abstract
Complex multivariable processes are generated in multi-hearth furnaces, and their modeling contains a high index of uncertainty.
The main variables that characterize the post-combustion subprocess were identified and data were taken that comprise a period
of three months of operation of the installation, to which a regression analysis was carried out step by step backwards. This analysis
allowed us to determine that the linear correlation coefficient for hearth temperature four was 0.79 and 0.65 for hearth temperature
six, in addition to identifying the independent variables that most influence these process output variables.
Keywords: Furnaces, Post-Combustion subprocess, Regression analysis
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