摘要
针对砂轮划片机划切工艺参数在实际生产中难以合理设定的问题,提出了基于Matlab遗传算法优化和确定最佳工艺参数的方法.在避开各阶固有频率的基础上选取工艺参数范围,以主轴振动均方根值为评价指标,利用回归正交设计法进行试验,建立了振动量与划切工艺参数之间的回归方程.利用Matlab遗传算法对所建回归方程进行迭代优化,得出对应最小振动量下的最佳工艺参数,对最佳工艺参数下的划切振动量进行试验验证,证明了优化结果的正确性.
The cutting process parameters of dicing saw are difficult to get in actual production,an optimization method was thus proposed to establish the best cutting parameters based on genetic algorithm of Matlab.The scope of the cutting process parameters was selected by avoiding the natural frequency of every order,and the root mean square of the axis vibration was used as the evaluation index.The regression equation was established between parameters of vibration and cutting processes by regression orthogonal design.The best cutting parameters according to the minimum vibration were obtained by using the Matlab genetic algorithm to make iterative optimization for the regression equation.The optimization result was verified by experiments.
出处
《东北大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2017年第4期531-535,共5页
Journal of Northeastern University(Natural Science)
基金
国家高技术研究发展计划项目(2012AA040104)
关键词
砂轮划片机
工艺参数
回归正交设计
遗传算法
优化
dicing saw
process parameters
regression orthogonal design
genetic algorithm
optimization
