基于弹性动力学分析的黄豆除杂振动筛优化设计  

Optimization Design of Vibrating Screen for Soybean Purification Based on Elastic Dynamic Analysis

作　　者：韩宝星[1] 竺志超[1] 徐钟 杨文珍[1] 

机构地区：[1]浙江理工大学机械与自动控制学院,杭州310018 [2]哇哈哈研究院,杭州310018

出　　处：《浙江理工大学学报（自然科学版）》2014年第3期256-260,共5页Journal of Zhejiang Sci-Tech University(Natural Sciences)

摘　　要：构建了振动筛的弹性动力学模型,推导出物料在筛面上的运动方程,以及物料在筛面上的平均推进速度计算公式。根据公式中各参数与筛分性能的关系,确定了影响振动筛筛分性能的主要结构参数与运动参数,并对相关参数进行优化。参数优化过程中利用BP神经网络得出振动筛的相关参数与筛分性能之间的关系,重构了振动筛的弹性动力学模型,加速了优化计算过程。优化结果表明,改进设计后振动筛的筛分效果可以达到最好,筛分效率也有提升。This paper establishes elastic dynamic model of vibrating screen,infers the equation of motion of materials on the screen surface and the computational formula of average advance rate of materials on the screen surface,determines main structural parameters and motion parameters influencing the screening performance of vibrating screen,optimizes relevant parameters,obtains the relationship between relevant parameters of vibrating screen and screening performance by using BP neural network in the process of parameter optimization,rebuilds elastic dynamic model of vibrating screen and accelerates optimal computation process.The optimization result shows that the vibrating screen after improved design can achieve the optimal screening performance and screening efficiency is also improved.

关 键 词：振动筛 板簧 动力学模型 神经网络 优化设计 

分 类 号：TH113.1[机械工程—机械设计及理论]