Explain of Drying Process by Various Models in Sour Cherry Drying

Authors : Hakan Okyay MENGEŞ, Can ERTEKİN

Pages : 4-10

View : 17 | Download : 30

Publication Date : 2007-08-25

Article Type : Research Paper

Abstract :In this study, a laboratory dryer is used for sour cherry drying process and moisture content at any drying time were com-pared by Newton, Page, Modified Page, Henderson and Pabis, Logaritmic, two-term, two-term exponential, Wang and Singh, Thompson, difusion approximation, Modified Henderson and Pabis, Verma et al., Midilli et al. models. The effect of drying air temperature and velocity on the coefficients of the best suited model were determined by multiple regression method. Root mean square error insert ignore into journalissuearticles values(RMSE); and khi squre insert ignore into journalissuearticles values(2); were used for the determination of the best suitable drying model. In addition to these statistical parameter, the modeling efficiency was also investigated. According to the results, Midilli et al. model is superior to the others for explaning drying behaviour of sour cherry. The lowest RMSE ad 2 values obtained at specific a, k,n and b coef-ficients according to the working conditions. Modeling efficiency insert ignore into journalissuearticles values(EF); changed between 0.99994 and 0.99972. According to analysis of Ficks’ Second Rule, for every a temperature value was calculated diffusion coefficient. With the increasing of tem-perature was determined to increase both diffusion coefficient and activation Energy
Keywords : Vişne, Hava Sıcaklığı, Hava Hızı, Modelleme Yeterliliği, Difüzyon Katsayısı, Aktivasyon enerjisi