Artificial Neural Networks in Modeling the High Pressure, Suspension Waterjet Cutting
نویسنده
چکیده
This article presents the role of artificial neural networks in use of hydroabrassive suspensive jet cut process in laminate treatment. Three-ply layer perceptron type network with an error backpropagation learning algorithm was applied to describe this process. The article provides detailed description of neural network. This neural network simulates the treatment process and predicts its efficiency due to given parameters. The results were confronted with the laboratory results of complex studies on parameters of cutting laminate with a hydroabrasive suspension jet, whose pressure is reduced to 30 MPa.
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