To optimize the uniformity of the temperature field distribution inside the core freezer and control the temperature fluctuation range

a test rig of core model and a three-dimensional RNG k-ε turbulence model were built based on the similarity principle to investigate the influence of air supply parameters (air supply temperature is from -3?2 ℃

and air supply velocity is from 3.5?4.7 m/s) on the temperature field distribution inside the freezer and provide theoretical support for the core freezer project. The results showed that under the zero-load condition of the core freezer

the simulated temperature at each monitoring point agreed well with the experimental ones

and the maximum deviation did not exceed 0.6 ℃. The model could accurately reflect the distribution law of the temperature field inside the freezer. When the freezer was fully loaded with six layers

and the air supply velocity was constant at 4.2 m/s

the temperature distribution inside the freezer was positively correlated with the air supply temperature; when the air supply temperature was 0 ℃

which was the best air supply temperature

the temperature field distribution inside the freezer was uniform and reasonable

and the cores of each layer met the storage requirements. When the freezer was fully loaded with 6 layers

and the air supply temperature was constant at 0 ℃

increasing the air supply speed could strengthen convective heat exchange and effectively solve the problem of local overheating. When the air supply speed was increased from 4.2 m/s to 4.7 m/s

the local temperature in the freezer was lower than the optimal storage temperature range of the cores

and 4.2 m/s was the optimal air supply speed considering the comprehensive energy consumption and uniformity of airflow organization.