• DocumentCode
    169169
  • Title

    Integration of process monitoring and inspection based on agents and manufacturing features

  • Author

    Changqing Liu ; Yingguang Li ; Weiming Shen

  • Author_Institution
    Coll. of Mech. & Electr. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • fYear
    2014
  • fDate
    21-23 May 2014
  • Firstpage
    208
  • Lastpage
    213
  • Abstract
    Small batch and multiple variety production mode and changing machining conditions call for dynamic inspection to guarantee machining quality. Dynamic inspection by considering real time monitoring information is a promising approach, but there is no available technology for integrating real time monitoring and inspection. To address this issue, this paper proposes a method of integrating monitoring and inspection based on intelligent software agents and manufacturing features. An agent-based approach is applied to develop an integrated framework, while manufacturing features are used as the information carrier to represent and connect monitoring and inspection information. Dynamic inspection is triggered according to the analysis results of real time monitoring. A prototype system has been developed to implement and validate the proposed method.
  • Keywords
    inspection; machining; process monitoring; production engineering computing; software agents; agent features; connect monitoring; dynamic inspection; information carrier; inspection information; integrated framework; intelligent software agents; machining conditions; machining quality; manufacturing features; process inspection; process monitoring; production mode; real time monitoring information; Finishing; Inspection; Machining; Manufacturing; Monitoring; Planning; Sensors; Features; Inspection; Intelligent agents; Machining; Monitoring;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Supported Cooperative Work in Design (CSCWD), Proceedings of the 2014 IEEE 18th International Conference on
  • Conference_Location
    Hsinchu
  • Type

    conf

  • DOI
    10.1109/CSCWD.2014.6846843
  • Filename
    6846843