Ways of modelling engineering processes (First research Project)

  • Sanders, David (PI)
  • Mazharsolook, Ebrahim (CoI)
  • Jaques, Mark (CoI)
  • Tewkesbury, Giles (CoI)
  • Harrison, David (CoI)
  • Billingsley, John (CoI)
  • Hollis, Jim (CoI)
  • Hudson, Adam (CoI)
  • Strickland, Paul (CoI)

    Project Details

    Description

    This PCFC Project investigated new ways of modelling images in real time using spheres and simple polyhedra and then applied the results to real time flight simulator applications. Finally, a transputer-based laser scanning system was created and some new image modelling methods were introduced for real time manufacturing applications.

    Layperson's description

    The research investigated new ways of laser scanning and of modelling images in real time.

    Key findings


    - New ways of modelling images in real time using spheres and simple polyhedra were demonstrated.
    - Geometric modelling was introduced for real time flight simulator applications.
    - A transputer based laser scanning system was created.
    - Image modelling was demonstrated for real time manufacturing applications using 2-D slices in joint space and simple polyhedra.
    - Pattern recognition was achieved using Fourier descriptors and neural networks.
    - On line glue bead profile measurement was achieved using a transputer based vision system.
    - A new robot vision system was created.
    -Automatic adjustment of adhesive dispensing was achieved using a transputer based vision system.
    - New architectures for image and signal processing were created.
    - Real-time geometric modelling was achieved using models in an actuator space and cartesian space'.
    Short titleEngineering modelling 1
    StatusFinished
    Effective start/end date6/03/9013/01/94

    Keywords

    • Modelling
    • Image
    • Real time
    • Spheres
    • Polyhedra
    • Geometric modelling
    • Laser scanning
    • Transputer
    • Flight simulator
    • Robotics
    • Vision

    Fingerprint

    Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.