摘要
研究一种将参数化建模、有限元仿真、疲劳分析和数值寻优算法相结合的伸缩臂优化方法。建立了随车起重机伸缩臂的参数化模型,进行不同工况下的伸缩臂动静态性能和疲劳寿命分析,并对模型进行了试验验证。以伸缩臂外形尺寸为设计变量,利用最优拉丁方试验设计方法建立样本空间,构造径向基函数近似模型。在此基础上,建立了伸缩臂的涉及到动静态性能、疲劳寿命及自身重量的多目标优化方法及模型。优化结果表明,在保证动静态性能和寿命要求的条件下,伸缩臂重量减少了6.76%。
A method of multi-objective optimization of the crane telescopic boom which combined parametric modeling,FEM simulation,fatigue analysis and numerical optimization algorithms was studied.The parametric model of the lorry crane telescopic boom was built and its dynamic and static performance and fatigue life were analyzed.The model was verified by experiments.Dimensions of telescopic boom were taken as design variables.Then,optimal Latin hypercube design of experiment was used to construct the sample space,and the approximation model based on radial basis function was built.On this basis,the telescopic boom optimization method and model were established.According to the optimization result,the mass of the telescopic boom is reduced by 6.76％ under the condition of ensuring its dynamic and static performance and fatigue life.
出处
《机械设计与研究》
CSCD
北大核心
2013年第5期131-135,共5页
Machine Design And Research
基金
广东省产学研重大专项资助项目(2012A090300011)
韶关市产学研重点资助项目(2012)
关键词
起重机
伸缩臂
多目标优化
径向基函数
crane
telescopic boom
multi-objective optimization
radial basis function
