Prediction model for milling deformation based on artificial neural network

In order to settle the troubles in on-line deformation measurement of workpiece, a deformation prediction method based on artificial neutral network was proposed. The cutting experiment scheme was designed by using orthogonal experiment technique. The experiments in different milling parameters were carried out, the workpieces' deformations were measured, and the deformation prediction model was created by using a Back-Propagation neural network and taking the experiment data as its training examples. According to the validation of the additional production experiments, the model's accuracy in the scope of examples is 99.56% and better than 95.47% outside the scope of examples. The results show that the deformation prediction model can accurately reflect the relationship between deformation and milling parameters.