Accuracy Improvement for CNC System using Wavelet-Neural Networks
نویسنده
چکیده
Abshct Wavelet neural networks are investigated for learning a multidimensional inputoutput complex nonlinear function. The CNC turning process is modeled using Wavelet neural networks. The error on the component is different from the desired dimensions because of the dynamics of the machining system. The error, ifpredicted, apriori can be used for compensating the same thus improving the accuracy in the part. In this work, wavelet neural networks are employed to predict the er ror given the process conditions as the input. Simulation studies are carried out to arrive for the selection of a suitable wav6let function for the CNC turning system in pacticdar.
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