摘要
受电臂是挖掘机电动化中重要的结构,利用受电臂结构的外形尺寸作为优化设计变量,将强度以及刚度作为约束条件,提出一种将自适应粒子群算法应用于工程机械的数学建模方法,利用Matlab程序语言实现了自适应粒子群算法,并通过该算法对建立的数学模型进行迭代计算,得出最优的结构尺寸参数,再利用Ansys Workbench对改进前后的结构进行了有限元仿真与模态分析。通过优化,受电臂结构在保证强度与刚度的前提下,其总质量减轻了18.398%。当外界激振频率不高于400Hz时,优化后结构减轻的质量几乎不影响其动态性能。改进后的结构危险截面竖直方向上应力有所减小,水平方向上的应力有所增加,最大增幅2.893 MPa,但增加后仍在安全许用范围内。
The power-receiving boom is an important part of electric excavator.Taking the external dimension of the powerreceiving boom structure as the optimization design variable and the strength and rigidity as the constraint conditions,this paper proposes a method that can apply the adaptive particle swboom optimization algorithm to the mathematical modeling of construction machinery.The adaptive particle swboom optimization algorithm is carried out by using Matlab programming language and the established mathematical model is iteratively calculated by the algorithm to obtain the optimal structural size parameters.Then the finite element simulation and modal analysis of the structure before and after improvement are carried out by using Ansys Workbench.Through optimization,on the premise of ensuring strength and rigidity,the total mass of the power-receiving boom structure is reduced by 18.398%.When the external excitation frequency is not higher than 400 Hz,the reduced mass after optimization hardly affects the dynamic performance.The stress of the dangerous section of the improved structure decreases in the vertical direction and increases in the horizontal direction with a maximum increase of 2.893 MPa,but the increased stress is still within the safe allowable range.
作者
卢宝鹏
柯坚
杨志军
史凌波
罗杰赢
Lu Baopeng;Ke Jian;Yang Zhijun;Shi Lingbo;Luo Jieying
出处
《起重运输机械》
2020年第1期77-83,共7页
Hoisting and Conveying Machinery
关键词
电动挖掘机
受电臂
模态分析
轻量化
设计
electric excavator
power-receiving boom
modal analysis
lightweight
design
