Improved identification of drying models with sequential optimal design of experiments

Daniel Goujot (1) , Francis Courtois (1) , Xuan Mi Meyer (2)

1 GENIAL - Génie industriel alimentaire
2 LGC - Laboratoire de Génie Chimique

In this work, we present an original approach and implementation of the A-optimality on the estimation of 4 unknown (transfer related) coefficients in a compartmental model used to describe the convective drying of rice. Our Design of Experiments (DOE) method can take into account all experimental constraints to calculate best non-constant drying conditions to obtain smallest uncertainties on estimated parameters.

Mots clés: sequential optimal design of experiments; drying model; convective drying of rice

Domaines: Sciences du Vivant [q-bio]

Daniel Goujot, Francis Courtois, Xuan Mi Meyer. Improved identification of drying models with sequential optimal design of experiments. 17. International Drying Symposium (IDS), Oct 2010, Magdeburg, Germany. 2010, 17th International Drying Symposium (IDS 2010). ⟨hal-01173831⟩