摘要
数控机床的切削加工工艺参数选择对零件加工有着重要影响,针对现有工艺参数选择方法的不足之处,提出了一种基于非负矩阵分解的工艺参数选择方法,在矩阵分解中使用贝叶斯准则和Gibbs采样计算后验概率分布,实例分析表明该方法能克服现有方法的不足,实现了对工艺参数的优化选择。
The selection of technological parameters of cutting process in numerical control machine has important influence on the components processing. Some faults of the existing methods of selection of technological parameters are pointed out. A method of selection of technological parameters based on non-negative matrix factorization is proposed. The method calcul-ates the posterior probability distribution by using Bayesian criteria and Gibbs sampling. An example shows that the new meth-od can overcome the shortcomings of the existing methods and realize the optimization of technological parameters.
出处
《科教导刊》
2016年第4期29-30,83,共3页
The Guide Of Science & Education
基金
宁夏高等学校科学技术研究项目(NGY2014166)
关键词
数控机床
工艺参数
非负矩阵分解
贝叶斯准则
numerical control machine
technological parameter
non-negative matrix factorization
Bayesian criteria