首页 | 本学科首页   官方微博 | 高级检索  
     

2Cr13不锈钢高速铣削表面粗糙度预测模型研究
引用本文:陈惠贤,冯海涛,杨富强,张继林.2Cr13不锈钢高速铣削表面粗糙度预测模型研究[J].工具技术,2012,46(2):73-76.
作者姓名:陈惠贤  冯海涛  杨富强  张继林
作者单位:1. 数字制造技术与应用省部共建教育部重点试验室(兰州理工大学);兰州理工大学
2. 兰州理工大学
摘    要:针对汽轮机叶片常用钢2Cr13不锈钢在切削加工中表面质量存在的问题,对高速铣削条件下2Cr13不锈钢表面粗糙度预测模型进行了研究。将最小二乘支持向量机原理应用到高速铣削2Cr13不锈钢的表面粗糙度预测建模中。得出的模型能方便地预测铣削参数对表面粗糙度的影响,并能利用有限的试验数据得出整个工作范围内的表面粗糙度预测值。经试验验证,应用最小二乘支持向量机原理建立的粗糙度预测模型回归预测精度高。基于最小二乘支持向量机原理建模方法适合于表面粗糙度预测。

关 键 词:表面粗糙度  预测模型  最小二乘支持向量机  高速铣削

Surface Roughness Prediction Model in High- speed Milling of 2Cr13 Stainless Steel
Chen Huixian , Feng Haitao , Yang Fuqiang , Zhang Jilin.Surface Roughness Prediction Model in High- speed Milling of 2Cr13 Stainless Steel[J].Tool Engineering(The Magazine for Cutting & Measuring Engineering),2012,46(2):73-76.
Authors:Chen Huixian  Feng Haitao  Yang Fuqiang  Zhang Jilin
Affiliation:Chen Huixian,Professor,School of Mechanical&Electronical Engineering,Lanzhou University of Technology,Lanzhou 730050,China,Feng Haitao,Yang Fuqiang,Zhang Jilin
Abstract:For 2Cr13 stainless steel in the cutting surface quality prediction,this paper studied the high-speed milling surface roughness prediction model of stainless steel.This principle of the least squares support vector machine is applied to the high-speed milling of 2Cr13 stainless steel surface roughness prediction modeling.The model can be easily predicted milling parameters on surface roughness.And it can take advantage of the limited test data to obtain over the entire range of surface roughness prediction.Based on the experimental validation,the roughness of the regression prediction model has high precision.The least squares support vector machine modeling approach is good for surface roughness prediction.
Keywords:surface roughness  prediction model  least squares support vector machine  high-speed milling
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号