Prediction of Surface Roughness using double ANN and the Efficient Machining Database Building Scheme in High Speed Machining

고속가공에서 2중 신경망을 이용한 표면거칠기 예측과 가공DB 구축 효율화 방안

In this paper, a double artificial neural network (ANN) approach and the efficient machining database building scheme are presented for the prediction of surface roughness in high-speed machining. In this approach, 4 machining parameters and used for the prediction of cutting force components, and the combinations of 4 parameters and the predicted cutting force components are finally used for the prediction of surface roughness. The experimental results comparing the these results with the predicted values using simple 4 input nodes have been also investigated to verify the effectiveness of the proposed approach.