• DocumentCode
    1120393
  • Title

    Modeling of part-mating strategies for automating assembly operations for robots

  • Author

    Wu, Chi-Haur ; Kim, Myong Gi

  • Author_Institution
    Dept. of Electr. Eng. & Comput. Sci., Northwestern Univ., Evanston, IL, USA
  • Volume
    24
  • Issue
    7
  • fYear
    1994
  • fDate
    7/1/1994 12:00:00 AM
  • Firstpage
    1065
  • Lastpage
    1074
  • Abstract
    From the concept of designing for automation, a system modeled from simple part-mating is proposed for helping automate the fine motion control phase of assembly operations. The proposed system consists of three subsystems. The first subsystem is a part-mating model categorized from different mating geometric constraints of simple parts. The second subsystem is a coding system, named structured assembly coding system (SACS), that codes different part-mating tasks with different levels of geometrical constraints. From this coding system, specific part-mating types can be identified for different tasks of assembly operations. Conversely, constraint configuration for each part-mating task can also be generated from the proposed part-mating model. After constraint configurations are identified for an assembly operation, the third subsystem is to automate an assembly operation by deducing the compliance control strategies. The proposed system is demonstrated through a case study of pump assembly
  • Keywords
    assembling; compliance control; industrial robots; position control; assembly operations; compliance control; constraint configuration; designing for automation; fine motion control; mating geometric constraints; part-mating strategies; pump assembly; robots; structured assembly coding system; Assembly systems; Automatic control; Control system synthesis; Design automation; Motion control; Motion planning; Robotic assembly; Robotics and automation; Solid modeling; Strategic planning;
  • fLanguage
    English
  • Journal_Title
    Systems, Man and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9472
  • Type

    jour

  • DOI
    10.1109/21.297797
  • Filename
    297797