| Popis: |
Summary In the manufacturing Systems such as FMS, one of the most important issues is to estimate the rest of cutting tool life under a given cutting conditions as accurately as possible. In this paper, a system based on neural network is proposed to estimate the life and wear type of cutting tools from their image data and cutting conditions. The input of the system is (1) the states of a cutting tool, crater wear and flank wear, obtained as image data, and (2) the cutting conditions. The validity of the system was confirmed by the examinations under various cutting conditions in turning. |
