کلیدواژهها
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infrared drying, quince, mathematical modeling, ANFIS, quality parameter
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چکیده
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: In this research, infrared drying of thin-layer
quince slices with thickness of 5 ± 0.24 mm was investigated at four levels of radiation power. The final temperatures of 50, 60, 70 and 80 °C were achieved by regulating
the radiation power. A comparative study was performed
among adaptive neuro-fuzzy inference system (ANFIS)
and 10 well-known empirical models to predict the drying
kinetics. The ANFIS modeling results showed an excellent prediction of moisture content value (R2
= 0.9998
and RMSE = 0.0041). Among the empirical models,
Midilli model fitted the experimental data well for the
whole range of temperatures (R2
= 0.9987–0.9994 and
RMSE = 0.0068–0.0098). Effect of final drying temperature on the sample color, shrinkage, texture and rehydration ratio was also investigated. Analysis of variance of
quality parameters showed that the final drying temperature had a significant effect on the color, shrinkage and
texture (p < 0.05). The final drying temperature of 80 °C
had a negative effect on the color, shrinkage and texture
of samples.
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