Correcting geometric deviations of CNC Machine-Tools: An approach with Artificial Neural Networks
An experimental methodology of Design for Manufacturing (DFM) is used for survey and analysis of geometric deviations of a CNC Machine-Tools. Artificial Neural Networks (ANN) with back propagation algorithm (BPNN) has been applied to predict the fabrication parameters. The performance of the trained neural network has been tested for compensation of geometric deviations of a CNC Machine-Tools.
artificial neural networks design for manufacturing cnc machine-tools error compensation precision technology