摘要
以工程机械中常见的支撑式转臂结构为研究对象,为使该种结构的驱动装置在整个工作状态内达到最优效果,通过分析该种结构并建立其数学模型,得出影响支撑式转臂结构驱动装置受力情况的主要因素,并对其运用粒子群优化算法进行优化,从而得出最优的铰点位置.因所使用的优化方法及优化对象均有一定的通用性,为方便工程应用,编写了该种结构的优化程序,并将某型液压挖掘机动臂液压缸原铰点位置代入本文所给优化程序,通过比较优化前后动臂液压缸受力情况,理论验证了该方法的可行性.
The research object is the support rotating arm which is widely used in engineering machinery field.In order to make the driving device of such kind of structure have the best effect in the whole working state,we analyzed this kind of structure and established the mathematical model,finding that the main factor that influence the force of the driving device of support rotating arm is the hinge position.Then we used the particle swarm optimization algorithm to obtain the optimal hinge position of driving device.Both the optimization methods and the optimized objects used in this paper have certain versatility.For the convenience of engineering applications,we wrote the optimization program of this kind of structure and substituted the original hinge position of hydraulic cylinder of a hydraulic excavator into the optimization program.The feasibility of the optimization method has been verified by comparing the force condition of the dynamic arm hydraulic cylinder before and after the optimization.
作者
关玉明
郤云鹏
崔佳
李曾
李军
GUAN Yuming;XI Yunpeng;CUI Jia;LI Zeng;LI Jun(School of Mechanical Engineering,Hebei University of Technology,Tianjin 300130)
出处
《河北工业大学学报》
CAS
2018年第1期32-38,共7页
Journal of Hebei University of Technology
基金
天津市科技特派员项目(14JCTPJC00532)
关键词
支撑式转臂结构
铰点位置
粒子群优化算法
工程应用
support rotating ar^m
hinge position
particle swar^m optimization algorithm
engineering applications
作者简介
关玉明(1957—),男,教授.
