Optimization design of airflow arrangement device for shiitake mushroom based on dynamic modeling and simulation

Abstract

As there is no mature agricultural automation device for trimming roots and stipes of shiitake mushrooms, this paper proposes a novel arrangement method to improve its processing efficiency. A dynamic model of shiitake mushrooms in airflow is established to analyze their motion states to assess the feasibility of this methodology, and computational fluid dynamics is used to establish aerodynamic coefficients. The dynamic model presents the relationship between the motion state and the airflow. In this device, a stable state is needed, which means the shiitake mushroom should maintain its stipe pointing up. Then the Monte Carlo simulation method is conducted to optimize the device to achieve a high probability of stipe upward with an appropriate length of ventilation duct and wind velocity. Thus, our methodology can be effectively used to arrange mushrooms for further application in a trimming and separation device.