基于声学黑洞的谷物流量传感器支架减振优化OACSTPCD

A damping structure of a grain flow sensor gantry based on the principle of acoustic black hole(ABH)was designed in this study to reduce the interference of vibration of the combine harvester on the monitoring results of the grain flow sensor.The vibration characteristics of the damping structure were analyzed by the finite element method,and the influence of the scale coefficient ε,power function index m and radius R of the two-dimensional ABH on the damping performance of the structure were examined.The results indicated that ABH could significantly re-duce the vibration of the gantry.The influences of ε,m,and R on the vibration reduction performance of the ABH did not exhibit a significant linear correlation.When ε=0.001 2,m=2.5,and R=15 mm,the ABH demonstrated the best vibration reduction effect.Taking the sum of squares of vibration velocity as the optimization goal,a polynomial re-gression surrogate model was established.Then the values of the parameters ε,m and R were optimized by genetic algorithm.Compared with the original gantry without ABH and the initial ABH design scheme,the sum of squares of the optimized gantry vibration velocity was reduced by 68.92%and 2%,respectively,indicating the superior damping performance of the optimization scheme.The proposed damping structure based on ABH and optimization design method provides a theoretical reference for agricultural machinery passive and broadband damping technology.