Abstract:

This paper investigates both the intelligent design technology and the fracture failure of high -speed & precise progressive dies of IT products. In the investigation , the methods of fuzzy processing , fuzzy clustering and attribute reduction are adopted to make the tacit knowledge of stamping die design explicit , thus achieving the knowledge mining from the design of precise progressive dies. The results of microscopic test show that , in the fracture section , the WC grains are inhomogeneous in size , and the Co content is less than that of the initial carbide material. Analytical results indicate that the fracture failure of the die occurs possibly because the inhomogeneity of WC grains reduces the hardness and wear resistance of the carbide material , and because the Co loss weakens the strength of the material.

Key words: IT product, high-speed &, precise progressive die, knowledge mining, fracture