作者: Bryan Becker , Anil Misra , Brian Fricke
DOI: 10.1080/10789669.1996.10391345
关键词: Process engineering 、 Heat transfer 、 Mass transfer 、 Mathematical model 、 Parametric statistics 、 Waste management 、 Computer algorithm 、 Refrigeration 、 Environmental science 、 Moisture 、 Sensible heat
摘要: A computer algorithm was developed that estimates the latent and sensible heat loads due to bulk refrigeration of fruits vegetables. The also predicts commodity moisture loss temperature distribution which occurs during refrigeration. Part I focused upon thermophysical properties commodities flowfield parameters govern mass transfer from fresh This paper, II, discusses modeling methodology utilized in current describes development models. II compares results experimental data taken literature, and, a parametric study performed with algorithm. In addition, this paper reviews existing numerical models for determining