林地多功能作业车臂架升降机构铰点优化
Optimization of hinge point for forestry multi-functional operation vehicle's boom lifting mechanism
高龙 1邓旻涯 1李科军 1张明月1
作者信息
- 1. 中南林业科技大学材料科学与工程学院,湖南长沙 410004
- 折叠
摘要
为提高林地多功能作业车升降臂系统的起升稳定性,文中采用响应面法对双平行四边形升降机构连杆铰点位置进行优化设计.采用动力学仿真软件Simcenter 3D建立升降臂起升工况的动力学模型,以铰点二维坐标为试验因素,升降臂在起升过程中的上下连杆转角差ITAE值、起升油缸油压和活塞杆伸缩量变化率的响应规律三者的熵权重评价模型得分为响应值,采用Box-Behnken Design(BBD)设计响应面试验进行建模,最后使用遗传算法对模型进行参数优化.优化试验结果表明:优化后的臂架上下连杆机构转角差ITAE减小32.2％,起升油缸伸缩量变化率减小1.2％,但起升油缸油压仅增大了 0.5％,提高了臂架垂直升降直线度和起升运动平顺性,为后续作业车臂架机构优化提供参考.
Abstract
In this article,in order to improve the lifting stability of the forestry multi-functional operation vehicle's lifting arm system,the response surface method is used to optimize the hinge-point position of the double parallelogram lifting mecha-nism's connecting rods.The dynamic-simulation software Simcenter 3D is used to set up the dynamic model of the lifting arm's working conditions.The hinge point's two-dimensional coordinates are selected as the influencing factors.Efforts are made to ex-plore the angle difference ITAE between the upper and lower connecting rods,the lifting cylinder's oil pressure,and the piston rod's expansion and contraction rate during the lifting process.The entropy-weight evaluation-model scores which indicate the re-sponse law are taken as the response values.Box-Behnken Design(BBD)is used to design the response surface experiments for modeling,and finally the genetic algorithm is used to optimize the model's parameters.These results show that after optimiza-tion,the angle difference ITAE between the upper and lower connecting rods reduces by 32.2％,the lifting cylinder's expansion and contraction rate reduces by 1.2％,but its oil pressure merely increases by 0.5％.As a result,the boom's vertical lifting straightness and lifting smoothness have improved,which provides reference for future optimization of the operation vehicle's boom mechanism.
关键词
变幅平顺性/铰点位置/响应面试验设计/ITAEKey words
luffing smoothness/hinge-point position/response-surface experimental design/ITAE引用本文复制引用
基金项目
国家自然科学基金资助项目(51805555)
出版年
2024
NETL
NSTL
万方数据