摘要
为解决某型通用机枪首发装填困难的故障,利用线位移传感器进行了首发装填试验,得到了影响首发装填的重要因素,即拨弹滑板在向外和向里2个阶段所受阻力传递到装填拉柄运动方向上的最大值;在大杠杆的两段曲线上各取5个点,利用三次样条曲线对这两条曲线进行拟合,求出了2个最大值与插值点之间的函数关系;分别以这2个最大值为目标函数,以各插值点的Y向坐标为待优化参数,利用遗传算法对大杠杆曲线进行了优化,使得2个目标函数分别减少了47.24%和39.3%,达到了优化的目的。为该枪的改进工作提供指导,所使用的方法为同类型武器的设计和改进提供参考。
To solve the problem in first-round loading of a dual-purpose machine gun, the loading test was carried out by using a linear displacement sensor, and the importance factors which affect the first- round loading were revealed, i.e. two maximum values of resistances transferred from feed slide to the loading handle. Five points were taken in two segments of big-lever curve respectively, and the relation- ship between two maximum values and interpolation points were found out by using cubic spline curve fit- ting. Taken these two values as objective functions and the Y coordinates of interpolation points as the op- timized parameters, the big-lever curves were optimized by using genetic algorithm, and the objective functions were reduced by 47.24% and 39.3%. The method can provide reference for the design and improvement of the similar weapons.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2012年第6期652-657,共6页
Acta Armamentarii
关键词
机械设计
大杠杆曲线
参数优化
遗传算法
自动武器
mechanical design
big-lever curve
parameter optimization
genetic algorithm
automatic weapon