Control of Identifier of Chip Form by Adjusting Feedrate Used Neural Network Algorithm

선삭에서 신경망 알고리즘에 의한 칩 형태의 인식과 제어

The continuous chip in turning operation deteriorates the precision of workpiece and can cause a hazardous condition to operator. Thus the chip form control becomes a very important task for reliable turning process. Using the difference of energy radiated from the chip, the chip form is identified using the neural network of supervised data. The feed mechanism is adjusted in order to break continuous chip according to the result of the chip form recognition and shows a good approach for precision turning operation.