Numerical Simulation and Distribution of Ambient Temperature and Humidity Field in Qu Fang
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Abstract:
The purpose of this study was to obtain the law of the changes in the environmental parameters of Daqu during fermentation, to analyze the difference in temperature and humidity of Daqu during different periods of fermentation, and the difference in temperature and humidity of all Daqu in the same fermentation room during the same period. Applying fluid mechanics (CFD) software Fluent, taking fermentation room as the research object, the real-time fermentation temperature of Daqu during the fermentation process was imported through the profile, and the porous media model and component transport model were used to establish a three-dimensional turbulent model inside the chamber. Then the non-steady-state calculation method was used to simulate the temperature and humidity distribution characteristics of the internal environment of the fermentation room at different fermentation stages. At last, the temperature and humidity changes at the corresponding detection points were detected and verified. The research results showed that the maximum error between the simulation results and the measured results was 7.74% for temperature and 8.42% for relative humidity, both of which were within the allowable error range of less than 10%, which proved that the convective heat transfer and mass transfer in curved room environment were accurate enough. The heat and humidity transfer in the fermentation is coupled, the relative humidity is relatively low in the middle layer with higher temperature, and the relative humidity is higher in the lower layer with lower temperature. At the same time, the temperature and humidity data of other undetected areas in the fermentation room were obtained by analyzing the temperature and humidity distribution laws and differences of the fermentation room environment at different fermentation stages. It provides a model reference for subsequent fermentation room risk control strategies, and provides a theoretical basis for further optimization study of the temperature and humidity sensor position.
