Model for Computational Analysis and Predictive Assessment of Bulk Density of Fired Bricks Based on Incurred Shrinkage

Abstract

A model has been derived for computational analysis and predictive assessment
of bulk density of fired bricks based on incurred shrinkage. These clay materials were
prepared using different grain sizes; <100μm, 100-300μm, 300-1000μm and their
respective mixtures before firing. The values of bulk densities of fired clay were found to
vary with double natural log of the shrinkage incurred during the firing process. These grain
sizes of clay also vary with the magnitude of the bulk density. The established model; γ =
ln(ln[S
1.1589]) indicates that the bulk density of bricks during firing was dependent on the
incurred shrinkage. The validity of the model is rooted on the expression; Exp(еγ
)= S
1.1589
where both sides of the expression are correspondingly almost equal. The maximum
deviation of the model-predicted bulk density from the corresponding experimental values
is less 7%.