S. M. Atiqure Rahman1,*, Hegazy Rezk2,3, Mohammad Ali Abdelkareem1,4, M. Enamul Hoque5, Tariq Mahbub6, Sheikh Khaleduzzaman Shah7, Ahmed M. Nassef2,8
CMC-Computers, Materials & Continua, Vol.67, No.3, pp. 3143-3160, 2021, DOI:10.32604/cmc.2021.015048
- 01 March 2021
Abstract The main goal of this research is to develop and apply a robust Artificial Neural Networks (ANNs) model for predicting the characteristics of the osmotically drying treated potato and apple samples as a model heat-sensitive product in vacuum contact dryer. Concentrated salt and sugar solutions were used as the osmotic solutions at 27C. Series of experiments were performed at various temperatures of 35C, 40C, and 55C for conduction heat input under vacuum ( −760 mm Hg) condition. Some experiments were also performed in a pure vacuum without heat addition. Dimensionless moisture content (DMC), effective moisture… More >