研究目的
To develop a physics-based mathematical model for intermittent infrared and convective drying (IIRCD) of sweet potato to understand the drying mechanism, as existing models for agricultural crops do not exist.
研究成果
The developed mathematical model for IIRCD of sweet potato accurately predicts moisture and temperature distribution, showing good agreement with experimental data. IIRCD reduces drying time by 60% compared to CD alone and improves product quality in terms of color retention and microstructure. This provides a basis for understanding heat and mass transfer in IIRCD and can be extended to other agricultural crops.
研究不足
The model assumes uniform initial conditions, diffusion as the dominant moisture migration mechanism, homogeneity of the sample, and negligible heat and mass transfer at the bottom. Discrepancies in initial temperature data may affect accuracy. The study is specific to sweet potato and may not generalize to other crops without modification.
1:Experimental Design and Method Selection:
The study involved experimental drying of sweet potato slices using IIRCD and convective drying (CD) for comparison. A mathematical model based on heat and mass transfer with shrinkage-dependent diffusivity and evaporation was developed and simulated using COMSOL Multiphysics software.
2:Sample Selection and Data Sources:
Forty sweet potatoes of uniform appearance were selected, sliced into
3:4 cm thickness and 6 cm diameter, with an average moisture content of 45 kg/kg (dry basis). List of Experimental Equipment and Materials:
Equipment included a Nemco slicer, combined IR and CD experimental set-up, thermo anemometer, digital humidity transducers, t-type thermocouple, digital infrared thermometer, digital portable solarimeter, weight monitoring software based on LabVIEW, Chroma Meter Colorimeter, and Scanning Electron Microscope. Materials were sweet potato slices.
4:Experimental Procedures and Operational Workflow:
Drying experiments were conducted with air velocity at
5:2 m/s, relative humidity at 45%, drying air temperature at 70°C, infrared intensity at 1100 W/m2, and distance from IR bulb at 30 cm. Intermittency was achieved with IR on for 2 minutes and CD for 4 minutes until final moisture of 02 kg/kg. Color and microstructure were evaluated post-drying. Data Analysis Methods:
Data were analyzed using ANOVA and Tukey test with SIGMAPLOT software. Model validation used coefficient of determination (R2) and root mean square error (RMSE).
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Thermo anemometer
Extech 451104
Extech
Measuring drying air velocity.
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Scanning Electron Microscope
Hitachi TM S-3400
Hitachi High Technologies
Observing microstructure of dried sweet potato.
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Software
COMSOL Multiphysics 5.2a
COMSOL
Simulating the mathematical model for heat and mass transfer.
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Nemco slicer
55200AN
Nemco
Slicing sweet potatoes into uniform thickness and diameter for drying experiments.
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Digital humidity transducer
THD-R series
Autonics
Measuring relative humidity.
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T-type thermocouple
THD-R series
Autonics
Measuring drying air temperature.
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Digital infrared thermometer
GM 300
BENETECH
Measuring sample temperature during drying.
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Digital portable solarimeter
SL 100
Kimo Instruments
Measuring infrared intensity.
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Monitoring software
LabVIEW
National Instruments
Measuring weight change of samples during drying.
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Chroma Meter Colorimeter
CR-10
Konica Minolta Sensing Americas, Inc.
Measuring color of fresh and dried sweet potato slices.
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Software
SIGMAPLOT Version 12.0
Systat Software Inc.
Statistical data analysis including ANOVA and Tukey test.
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