Background: Gypsum plaster is one of the most important building materials.
The use of gypsum plasters is very common due to their many advantages. The drying process
is an important stage in the production of gypsum materials and applications. Modelling
of drying phenomenon can benefit drying technology. Recently, Particle Swarm Optimization
(PSO) technique has been used to obtain optimum model equations for drying
Objective: The aim of this study was to determine a new modeling approach to infrared
drying of machine plaster by using PSO.
Methods: Experimental studies supplied by previous work in the literature have been performed
by a laboratory scale infrared dryer in the temperature range of 50-70°C and at atmospheric
conditions. Experimental moisture ratio values were compared with various
mathematical model equations developed for the drying process by using Particle Swarm
Optimization (PSO) technique.
Results: Fitting tests indicate that the results obtained from the PSO technique are better
than those of the previous study because of lower χ2, RMSE, and RSS values. The best
model equation was the model equation based on the Newton drying equation existing in
the previous study. However, the model equation derived by Modified Page has been determined
as the most compatible model with the experimental data.
Conclusion: It can be said that PSO is successively and reliably used to predict or optimize
the experimental data of drying phenomena.