沙柳平茬刀具减磨优化——基于PSO-BP神经网络结合GA算法  

Optimization of Wear Reduction of Salix Cheilophila Cutting ToolsBased on PSO-BP Neural Network Combined with GA Algorithm

作　　者：韩志武 刘志刚[1] 常涛涛 裴承慧[1] 张鹏峰 张建强 Han Zhiwu;Liu Zhigang;Chang Taotao;Pei Chenghui;Zhang Pengfeng;Zhang Jianqiang(College of Mechanical Engineering,Inner Mongolia University of Technology,Hohhot 010051,China)

机构地区：[1]内蒙古工业大学机械工程学院,呼和浩特010051

出　　处：《农机化研究》2025年第8期259-265,共7页Journal of Agricultural Mechanization Research

基　　金：内蒙古自治区科技计划项目(2021GG0423);内蒙古自治区自然科学基金项目(2021MS05006)。

摘　　要：沙柳作为我国西北地区主要防风固沙树种,其机械化平茬更新对生态环境保护和社会经济发展具有重要意义。然而平茬圆锯片磨损严重,成为制约工作效率和平茬效果提升的主要技术瓶颈。为实现沙柳平茬圆锯片减磨性能的优化设计,通过野外平茬试验获取不同锯齿结构下的磨损退化量数据,基于磨损数据建立PSO(Particle Swarm Optimization)算法优化的BP(Back Propagation)神经网络模型,用于预测圆锯片的磨损量;然后,将训练好的PSO-BP神经网络模型与GA(Genetic Algorithm)算法相结合,以磨损量最小为优化目标,寻找圆锯片锯齿结构的最优参数。结果表明:所建立的模型成功实现了对圆锯片前角、后角、前刀面斜磨角等结构参数的多目标优化,优化得到的圆锯片参数使磨损量相对最小,提升了圆锯片的减磨性能。由此为进一步改善沙柳平茬圆锯片的切削及减磨损性能提供了新的设计思路,为提高沙柳平茬工作效率提供了技术支持,有利于生态环境保护和农业可持续发展。Salix cheilophila is one of the major shrubs for sand fixation and windbreak in northwest China.Mechanized cutting of Salix cheilophila plants plays an important role in ecological protection and socio-economic development.However,severe wear of circular saw blades has been a main technical bottleneck restricting working efficiency and cutting effects.To optimize the wear-resistant design of circular saw blades for Salix cheilophila cutting,this study collected wear degradation data of different tooth structures through field experiments.PSO(Particle Swarm Optimization)algorithm optimized BP(Back Propagation)neural network model was established based on the wear data for predicting the wear amount of circular saw blades.Then,the trained PSO-BP neural network model was combined with GA(Genetic Algorithm),with minimum wear amount as the optimization goal,to search for the optimal parameters of circular saw blade tooth structure.The results showed that the established model successfully realized multi-objective optimization of structural parameters such as front angle,rear angle and front bevel grinding angle of circular saw blades.The optimized circular saw blade parameters achieved minimum wear,thereby enhancing the wear resistance of circular saw blades.This study provides a new design concept to further improve the cutting and wear resistance of circular saw blades for Salix cheilophila cutting.It offers important technical support to improve the working efficiency of Salix cheilophila cutting and is beneficial to ecological protection and sustainable agriculture development.

关 键 词：沙柳 平茬圆锯片 减磨优化 PSO-BP神经网络 遗传算法 

分 类 号：TG71[金属学及工艺—刀具与模具] TH164[机械工程—机械制造及自动化] TP183[自动化与计算机技术—控制理论与控制工程]