This paper deals with the problem of fitting a set of data collected on a r
otary sugar dryer, by means of a first-principles mathematical model. Owing
to the highly constrained structure of the model, it was discovered that t
he sugar dryer is characterised by two different working conditions: the "s
tandard-mode" (characterised by a non-zero sugar moisture content), and the
"overdried-mode" (namely a condition where the sugar moisture content is a
lmost nil, and the evaporative phenomenon becomes negligible). On the basis
of this two-stage behaviour, an accurate fit between the model and the mea
sured data can be achieved, and an innovative control strategy can be drawn
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