THE COST ESTIMATION OF A WATER JET CUTTING PROCESS USING ARTIFICIAL NEURAL NETWORKS
The paper presents a neural model used to control an abrasive water jet cutting machine and predict the cost of the process. The material features, the orifice diameter and the abrasive consumption are considered to be the input parameters. The output parameters are the feed rate, the energy consumption and the water consumption. A neural model with back propagation algorithm was used. A set of data obtained from the “Waterjet Web Reference Calculator” was used to model the process. The training and the validation data were calculated based on the values presented by the waterjet cutting machines manufacturers. In another paper  the authors have presented a neural model for controlling the speed of cutting and the abrasive consumption.
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