JOURNAL OF COMPUTERS (JCP)
ISSN : 1796-203X
Volume : 3    Issue : 10    Date : October 2008

Process Planning Knowledge Discovery Based on CAPP Database for Mechanical
Manufacturing Enterprise
Xiaoliang Jia, Zhenming Zhang, and Xitian Tian
Page(s): 50-57
Full Text:
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Abstract
Knowledge discovery in database have been attracting a significant amount of research, industry
attention in recent years. Process planning knowledge (PPK) is one of the most important
knowledge in mechanical manufacturing enterprise. The traditional method of turning data into
knowledge relies on manual analysis and interpretation. This paper analyzes the source and
composing of process planning knowledge and state of arts on process planning discovery in
mechanical manufacturing enterprise. On the basis of the widely application of computer aided
process planning (CAPP) system in mechanical manufacturing enterprise, the concept of process
planning knowledge discovery (PPKD) is proposed based on process planning databases. This
paper provides an overview CAPP database of the field, clarifying how PPKD in CAPP database are
related both to each other and to related fields, the technology architecture of process planning
knowledge discovery is founded based on objectoriented model-driven technology, and the process
planning knowledge discovery script is designed. Elementary application research in typical
process knowledge discovery is described in detail. The technology of PPKD in this paper has been
tested in an aeronautical manufacturing enterprise to support the automatically knowledge
acquisition in CAPP system. Good application effect has been revealed.

Index Terms
knowledge discovery, process planning knowledge discovery, CAPP database, mechanical
manufacturing