榴莲采后压差预冷数值模拟与试验研究OA

To improve the post-harvest pre-cooling efficiency of high-maturity durian and optimize the pre-cooling process,a method combining computational fluid dynamics(CFD)simulation and experimental validation was employed to systematically analyze the effects of air supply parameters on pre-cooling performance.Based on a 1∶1 real physical model,a 3D model for forced-air pre-cooling of durian was established,and the reliability of the model was verified through experiments.The results showed that the relative error between simulation and experimental results was less than 8%.The air supply velocity,air supply temperature,and air supply direction all significantly influenced pre-cooling efficiency.The optimal pre-cooling conditions were determined as an air supply velocity of 1.5 m/s,an air supply temperature of 9℃,and side air supply.Air supply velocity had the greatest impact on the cooling rate,while air supply direction had the greatest impact on pre-cooling uniformity.The cooling process of both the durian pulp and the whole fruit conformed to an exponential function relationship,with a fitting accuracy greater than 0.95,which can be used for predicting the pre-cooling process.This research provides a theoretical basis for optimizing the post-harvest pre-cooling process of durian and for the development of pre-cooling equipment.