摘要
以平头铣刀关键工序为例,分析在不同磨削方式下平头铣刀关键工序磨削优化模型的变量选取、约束条件及目标函数的设定。以平头铣刀端齿后角磨削工序为例,设计正交磨削试验,并用线性回归分析拟合该工序的磨削工件表面粗糙度预测模型。分别运用遗传算法和复合形法求解磨削参数优化模型,验证模型的适用性。结果表明:在保障磨削质量的前提下,建立的优化模型所推荐的磨削参数能有效提升磨削效率。
Based on the key process of manufacturing flat-end cutter,the paper analyzes the optimization variables under different grinding methods. The method of establishing parameters optimization objective functions for different grinding methods of the flat-end cutter process was proposed and a grinding optimization model aiming at improving the grinding efficiency was established. Taking the axial relief angle grinding step for example,orthogonal experiments were designed and linear-regression analysis was used to fit the formula of grinding surface roughness. Then genetic algorithm and complex method are used to solve the model and verify it. The model may recommend optimized parameters for the grinding flat-end milling process.
出处
《工具技术》
北大核心
2017年第2期56-59,共4页
Tool Engineering
基金
国家科技重大专项(2013ZX04005-021)
关键词
磨削参数优化
遗传算法
复合形法
平头铣刀
grinding parameters optimization
genetic algorithm
complex method
flatend milling cutter