# [1]郭克希,谭佩莲,唐进元..基于人工神经网络的螺旋锥齿轮磨削加工表面粗糙度预测[J].郑州大学学报(工学版),2009,30(03):65-67,74. 　GUO Kexi,TAN Peilian,TANG Jinyuan.Surface Roughness Forecasting of Spiral Bevel Gear Based on Artificial Neural Network[J].Journal of Zhengzhou University (Engineering Science),2009,30(03):65-67,74. 点击复制 基于人工神经网络的螺旋锥齿轮磨削加工表面粗糙度预测() 分享到： var jiathis_config = { data_track_clickback: true };

30卷

2009年03期

65-67,74

1900-01-01

## 文章信息/Info

Title:
Surface Roughness Forecasting of Spiral Bevel Gear Based on Artificial Neural Network

Author(s):
1．Auto and Mechanical Engineer College，Changsha University2．School of Mechanical＆Electrical Engineering．Central South of Science and Technology，Changsha 410004，China；University。Changsha 410083，China

Keywords:

Abstract:
Because the value of Ra is affected by a lot of factors and some of them are undefined。the Surface roughness forecasting of spiral bevel gears is a typical fuzzy，non～linear system．In this paper，based on the priority principle of BP artificial neural network，surface roughness forecasting is set up．This model BP can accurately describe the effect of wheel’S feed velocity and deep tooth feed on surface roughness of spiral bevel gears．The experiment data proves that the model BP used in forecasting the surface roughness of spiral bevel gears can get a more precise result．

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