摘要
对IT制件高速冲压精密级进模具的智能化设计技术和模具断裂问题进行了研究.首先通过模糊处理、模糊聚类、属性集约简方法使冲压模具设计隐形知识显性化,实现了对精密级进模设计的知识挖掘;然后采用金相试验对模具断口进行检测.结果发现:断口处WC晶粒大小不均匀,降低了材料的硬度和耐磨性;Co元素含量明显比原始硬质合金材料含量少,降低了材料的强度,从而导致了模具断裂失效.
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.
出处
《华南理工大学学报(自然科学版)》
EI
CAS
CSCD
北大核心
2007年第10期44-48,共5页
Journal of South China University of Technology(Natural Science Edition)
基金
2004粤港关键领域重点突破项目(2004A10402002)
华南理工大学自然科学基金资助项目(B01E5050800)
关键词
IT制件
高速精密级进模
知识挖掘
断裂
IT product
high-speed & precise progressive die
knowledge mining
fracture