1st International ICST Workshop on Knowledge Discovery and Data Mining

Research Article

Research and Application on Typical Process Knowledge Discovery in Mechanical Manufacturing Enterprise

  • @INPROCEEDINGS{10.4108/wkdd.2008.2688,
        author={Xiaoliang Jia and Zhenming Zhang and Xitian Tian},
        title={Research and Application on Typical Process Knowledge Discovery in Mechanical Manufacturing Enterprise},
        proceedings={1st International ICST Workshop on Knowledge Discovery and Data Mining},
        publisher={ACM},
        proceedings_a={WKDD},
        year={2010},
        month={5},
        keywords={},
        doi={10.4108/wkdd.2008.2688}
    }
    
  • Xiaoliang Jia
    Zhenming Zhang
    Xitian Tian
    Year: 2010
    Research and Application on Typical Process Knowledge Discovery in Mechanical Manufacturing Enterprise
    WKDD
    ACM
    DOI: 10.4108/wkdd.2008.2688
Xiaoliang Jia1,*, Zhenming Zhang1, Xitian Tian1
  • 1: Institute of CAPP & Manufacturing Engineering Software (P.O.Box 553#), Northwestern Polytechnical University, Xi’an, P.R.China.
*Contact email: jiaxl@nwpu.edu.cn

Abstract

The source and composing of process planning knowledge is analyzed based on the state of art in discrete mechanical manufacturing enterprise. On the basis of the widely application of computer aided process planning system (CAPP) in mechanical manufacturing enterprise, the concept of process planning knowledge discovery (PPKD) is proposed for product process planning database. CAPPFramework (a CAPP development platform that is developed by Northwestern Polytechnical University supported by China) is taken as a basic development platform, the technology architecture of process planning knowledge discovery is founded based on object-oriented model driven technology, and the process planning knowledge discovery script is designed. Elementary application research in typical process summarization is described in detail. The technology of PPKD has been used in mechanical manufacturing enterprise to support the automatically knowledge acquisition in CAPP system, and it shows good application effect.