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

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

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[1]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.

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Journal of Zhengzhou University (Engineering Science)[ISSN 1671-6833/CN 41-1339/T] Volume: 30 Number of periods: 2009年03期 Page number: 65-67,74 Column: Public date: 1900-01-01

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

Author(s):: GUO Kexi; TAN Peilian; TANG Jinyuan; 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:: tificial neural network; model BP; spiral bevel gear; surface roughness

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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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Last Update: 1900-01-01