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Original Articles

THERMAL CONDUCTIVITY PREDICTION FOR FOODSTUFFS: EFFECT OF MOISTURE CONTENT AND TEMPERATURE

, , &
Pages 231-245 | Published online: 06 Feb 2007

Figures & data

Table. 1. Mathematical Model for Calculating Thermal Conductivity as a function of Moisture and Temperature

Table 2. Parameter Estimates of the Model Presented in Table 1

Figure 1. Parameter estimates of the proposed model of Table .

Figure 1. Parameter estimates of the proposed model of Table 1.

Figure 2. Thermal conductivity data for starch.

Figure 2. Thermal conductivity data for starch.

Figure 3. Thermal conductivity data for apple.

Figure 3. Thermal conductivity data for apple.

Figure 4. Thermal conductivity data for potato.

Figure 4. Thermal conductivity data for potato.

Figure 5. Predicted thermal conductivity values for fruits at 25°C.

Figure 5. Predicted thermal conductivity values for fruits at 25°C.

Figure 6. Predicted thermal conductivity values for fruits at 60°C.

Figure 6. Predicted thermal conductivity values for fruits at 60°C.

Figure 7. Predicted thermal conductivity values for vegetables at 25°C.

Figure 7. Predicted thermal conductivity values for vegetables at 25°C.

Figure 8. Predicted thermal conductivity values for vegetables at 60°C.

Figure 8. Predicted thermal conductivity values for vegetables at 60°C.

Figure 9. Predicted thermal conductivity values for miscellaneous foods at 25°C.

Figure 9. Predicted thermal conductivity values for miscellaneous foods at 25°C.

Figure 10. Predicted thermal conductivity values for miscellaneous foods at 60°C.

Figure 10. Predicted thermal conductivity values for miscellaneous foods at 60°C.

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