Abrasive water jet precise machining based on artificial neural network

作者：Lei Yu-Yong^*; Jia Qiang; Yang Gui-Lin; Qiu Gang; Ma Chao; Song Qing-Jun

来源：Journal of Sichuan University(Engineering Science Edition), 2005, 37(6): 155-159.

• Abrasive water jet
• Advanced green machining tools
• Artificial neural network (ANN)
• Check data set
• Cutting speed
• Mean square error
• Nonlinear relationship
• Sample data set

Abrasive Water Jet is one of the advanced green machining tools. In order to obtain high surface quality of the product, the parameters of abrasive water jet machining process must be precisely controlled. A practical technique is to establish the non-linear relationship among the main parameters of the abrasive water jet cutting process, thus the surface quality of the part can be indirectly controlled by adjusting the cutting speed. Based on the artificial neural network (ANN), an ANN model for the abrasive water jet cutting process was proposed. This model was trained using sample data set. The trained model can precisely predict the cutting speed at the given pressure, flow rate of abrasive, thickness of the material and roughness of the part to be made.

• 出版日期2005
• 单位西华大学