The Adaptive Control of Grinding Force of CNC Cam Grinder Based on Neural Network

Abstract:

In the process of cam grinding, the fluctuation of grinding force can lead to the abnormal wear of the grinding wheel, the decrease of the grinding surface quality and even the damage of the grinding process system. The paper took the grinding process of numerical control cam grinding machine as research subject, the grinding force mathematical model was built, the indirect test and control measures were researched and an adaptive control method based on neural network was proposed and applied to the grinding force control of the cam grinding process. At last, the controller was designed and the grinding simulation was performed with MATLAB, which proved that the system could solve the fluctuation of grinding force during the process of cam grinding and the controller was equipped with good dynamic characteristic. The results indicate that the method can realize the purpose of optimal metal removal rate and enhance the grinding quality of cams.

• Periodical: Applied Mechanics and Materials (Volumes 217-219)
• Pages: 2051-2055
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.217-219.2051
• Online since: November 2012
• Authors: Ming Li Xie, Ling Lu
• Keywords: Adaptive Control, Cam Grinding, Grinding Force, Neural Network (NN)

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