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New Mathematical Models of Thin Layer Solar Drying of Carrots

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Title New Mathematical Models of Thin Layer Solar Drying of Carrots
 
Creator Asnaz, Melike Sultan Karasu
 
Subject Carrot drying
Drying kinetics
Mathematical modeling
Solar dryer
 
Description 21-31
Drying behavior of julienne and cylindrical cuts of carrot (var. Danvers) using a solar dryer for both forced and natural
convection mode have been undertaken. Sixteen solar drying experiments were carried out in July 2020, which received an
average of 11.6 hours of daylight per day. Instant weight change, temperature, relative humidity and solar radiation were
monitored, recorded and analysed. Overall uncertainty caused by various instruments, calibration, and reading was
calculated. Then, the moisture content of different sliced carrots at different drying airflow and temperatures were converted
into moisture ratio and then fitted against drying time. A total of eight mathematical models, including three new models, as
well as five mathematical models commonly used in the literature, were compared to find the most fitted solar drying curve
based on the coefficient of determination (R2), the Root Mean Square Error (RMSE), and the mean square of the deviations
(πœ’τ€¬Άτˆ». Consequently, for predicting the drying kinetics of carrots in natural convection solar dryer the New Model 1 was
found to be the best mathematical model with an R2 = 0.999 for julienne, and 0.9986 for cylindrical cuts. In forced
convection drying, the best suitable models were New Model 1 for julienne cuts (R2 = 0.9987) and Diffusion approach for
cylindrical cuts (R2 = 0.9994). Finally, it has been observed that the R2 values of New Model 1 and New Model 2 in all cases
were greater than 0.99. Since there is a good agreement between theory and experimental data in this study, these developed
models can provide a gain in the design of new solar dryers in the industry.
 
Date 2022-01-07T09:59:28Z
2022-01-07T09:59:28Z
2022-01
 
Type Article
 
Identifier 0975-1084 (Online); 0022-4456 (Print)
http://nopr.niscair.res.in/handle/123456789/58876
 
Language en
 
Publisher NIScPR-CSIR, India
 
Source JSIR Vol.81(01) [January 2022]