摘要
针对航空产品对紧固件的大量使用所形成的高成本及选用过程效率低的问题,研究了在满足紧固件设计要求的情况下,合理选取紧固件个数与紧固件直径,从而得到最小预估成本的优化方法。为此提出了基于改进遗传算法的紧固件最小成本优化,以35钢六角螺栓为例建立数学模型,在设定相同约束条件与设计参数的情况下分析了图解法、传统遗传算法、改进遗传算法对螺栓最小成本优化过程与结果。对比三种方法得到的螺栓最小成本,得出改进遗传算法优化结果最小,为紧固件的选取与成本估计提高了效率。
In view of the high cost caused by the extensive use of fasteners in aviation enterprise products and the low efficiency of the selection process,this paper studies the optimal selection method of the number of fasteners and the diameter of the fasteners to obtain the minimum estimated cost in the case of meeting the fastener design requirements.The minimum cost optimization of fasteners based on improved genetic algorithm is proposed.A mathematical model is built using a35-steel hex bolt as an example.In the case of setting the same constraints and design parameters,we analyze the minimum cost optimization process and results of the graphical method,traditional genetic algorithm and improved genetic algorithm.Comparing the minimum cost of bolts obtained by the three methods,it is concluded that the improved genetic algorithm has the smallest optimization result,and the selection efficiency and cost estimation of the fastener is improved.
作者
屈力刚
王欣
杨野光
QU Ligang;WANG Xin;YANG Yeguang(Key Laboratory of Fundamental Science for National Defence of Aeronautical Digital Manufacturing Process,Shenyang Aerospace University,Shenyang 110136, China)
出处
《机械工程师》
2018年第12期1-5,共5页
Mechanical Engineer
关键词
遗传算法
紧固件
预估成本
优化
genetic algorithm
fasteners
estimated cost
optimization
