Volume 3 Number 10 (Oct. 2008)
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JCP 2008 Vol.3(10): 50-57 ISSN: 1796-203X
doi: 10.4304/jcp.3.10.50-57

Process Planning Knowledge Discovery Based on CAPP Database for Mechanical Manufacturing Enterprise

Jia Xiaoliang1, Zhang Zhenming2, Tian Xitian2
1School of Mechatronic, Northwestern Polytechnical University, Xi’an, China
2Institute of CAPP & Manufacturing Engineering Software, Northwestern Polytechnical University, Xi’an, China

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

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Cite: Jia Xiaoliang, Zhang Zhenming, Tian Xitian, "Process Planning Knowledge Discovery Based on CAPP Database for Mechanical Manufacturing Enterprise," Journal of Computers vol. 3, no. 10, pp. 50-57, 2008.

General Information

ISSN: 1796-203X
Abbreviated Title: J.Comput.
Frequency: Bimonthly
Editor-in-Chief: Prof. Liansheng Tan
Executive Editor: Ms. Nina Lee
Abstracting/ Indexing: DBLP, EBSCO,  ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat,etc
E-mail: jcp@iap.org
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