An improved general thermal conductivity prediction model has been developed for fruits and vegetables as a function of water content, porosity and temperature. Thermal conductivity values of apple, pear, corn starch, raisin and potato were used to develop the model using 164 data points obtained from the literature. Raisin has the maximum mean percent deviation of 15.1% (standard deviation 10.1) and pear gave minimum mean percent deviation of 6.8% (standard deviation 7.3). The errors for predicting the thermal conductivity using this improved model for fruits and vegetables are therefore within the range of 6.8-15.1%, which is acceptable for general engineering practice.
|Number of pages||8|
|Journal||Journal of Food Engineering|
|Publication status||Published - Feb 1997|
ASJC Scopus subject areas
- Food Science