期刊
ENERGIES
卷 16, 期 11, 页码 -出版社
MDPI
DOI: 10.3390/en16114461
关键词
jackfruit; drying; theoretical model; shrinkage
The present study aims to develop a theoretical shrinkage model considering the drying kinetics and shrinkage velocity approach during the convective drying of jackfruit. Model validation was carried out and the results showed that the shrinkage-induced model demonstrated superior performance in predicting moisture content and temperature variation compared to the model without shrinkage. The findings of this study provide valuable insights for the food drying industry, offering new knowledge about drying kinetics and shrinkage characteristics.
Shrinkage is an obvious phenomenon that occurs when drying plant-based food materials, and it has a crucial influence on heat-mass transfer mechanisms, energy consumption in drying, and dried product quality. The present study aims to develop a theoretical shrinkage model considering the drying kinetics and shrinkage velocity approach during the convective drying of jackfruit. Since there is no theoretical model in the literature that considers the transfer process along with shrinkage phenomena for jackfruit drying, this work focuses on presenting the drying and shrinkage kinetics behaviour through the development of a mathematical model. Two distinct models were developed, each considering the presence or absence of shrinkage phenomena. Model validation was carried out by comparing the predicted results with experimental data from drying tests conducted at 60 degrees C, and model accuracy was evaluated through statistical error analysis. In the shrinkage-induced model, the shrinkage exhibited a linear relationship with drying time, as the moisture content decreased from 5.25 to 0.47 kg/kg on a dry basis when the temperature increased to 54 degrees C. Notably, the shrinkage-induced model demonstrated superior performance, displaying low mean absolute error (MAE) values-0.27 kg/kg on a dry basis for moisture content, 2.07 degrees C for temperature variation, and 0.04 for shrinkage, when compared to the model without shrinkage. Furthermore, the mean relative error (MRE) values for the shrinkage-induced model were 45.71% and 33.33% lower than those of the model without shrinkage for average moisture content and temperature, respectively. The findings of this study provide valuable insights for the food drying industry, offering new knowledge about drying kinetics and shrinkage characteristics that can contribute to the development of energy-efficient drying systems.
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