Modelling to Predict Moisture Ratio in Infrared Drying of Machine Plaster by Particle Swarm Optimization

摘要

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 processis an important stage in the production of gypsum materials and applications. Modellingof drying phenomenon can benefit drying technology. Recently, Particle Swarm Optimization(PSO) technique has been used to obtain optimum model equations for dryingprocesses.Objective: The aim of this study was to determine a new modeling approach to infrareddrying of machine plaster by using PSO.Methods: Experimental studies supplied by previous work in the literature have been performedby a laboratory scale infrared dryer in the temperature range of 50-70°C and at atmosphericconditions. Experimental moisture ratio values were compared with variousmathematical model equations developed for the drying process by using Particle SwarmOptimization (PSO) technique.Results: Fitting tests indicate that the results obtained from the PSO technique are betterthan those of the previous study because of lower χ2, RMSE, and RSS values. The bestmodel equation was the model equation based on the Newton drying equation existing inthe previous study. However, the model equation derived by Modified Page has been determinedas the most compatible model with the experimental data.Conclusion: It can be said that PSO is successively and reliably used to predict or optimizethe experimental data of drying phenomena.