安徽农业大学学报2024，Vol.51Issue(3)：523-529,7.DOI:10.13610/j.cnki.1672-352x.20240710.012
基于声学黑洞的谷物流量传感器支架减振优化
Damping and optimization of grain flow sensor gantry based on acoustic black hole
摘要
Abstract
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.关键词
谷物流量传感器/声学黑洞/减振/优化设计Key words
grain flow sensor/acoustic black hole/vibration reduction/optimization design分类
机械制造引用本文复制引用
胡夏夏,赵梦晨,杜晓飞,胡金鹏,钟良意,张卫东,徐立章,石茂林..基于声学黑洞的谷物流量传感器支架减振优化[J].安徽农业大学学报,2024,51(3):523-529,7.基金项目
江苏省自然科学基金青年基金项目(BK20210777)和省部共建现代农业装备与技术协同创新中心项目(XTCX2014)共同资助. （BK20210777）
