Objective
The objective of this project was to develop, implement and integrate advanced control system techniques to improve the control of manufacturing systems for small-batch production machined parts at the machine and cell level. The system developed is modular, to allow progressive implementation, and has been demonstrated in real production environments. Work on the project included:
-integrating advanced information processing techniques into machine control systems
-developing data capture and analysis techniques to treat system perturbations in real time
-adopting and implementing standard interfaces between the system and CAD, CAM, CAE and CAP systems.
The objective of this project was to develop, implement and integrate advanced control system techniques to improve the control of manufacturing systems for small batch production machined parts at the machine and cell level. The system developed is modular, to allow progressive implementation, and has been demonstrated in real production environments. Work on the project included: integrating advanced information processing techniques into machine control systems, developing data capture and analysis techniques to treat system perturbations in real time and adopting and implementing standard interfaces between the system and computer aided design (CAD), computer aided manufacture (CAM), computer aided engineering (CAE) and computer aided production (CAP) systems.
The integration of the system was completed, with a successful demonstration of the initial linking of the information with the scheduling and monitoring systems. The expert system shell was completed.
The integration of the system was completed, with a successful demonstration of the initial linking of the information with the scheduling and monitoring systems. The expert system shell was completed. The results of the research have been implemented at the demonstration site at Morskate BV in the Netherlands.
Exploitation
The major impact will be to decrease the lead time for the manufacture of small batches of machined parts and to increase system availability. An important feature of the modules being developed will be that they can be retrofitted to existing production systems, allowing progressive advances in the level of automation.
The system, including DNC and machine monitoring, has been installed. Exploitation of control, data capture and analysis, and decision support systems will follow.
Fields of science
- engineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringcontrol systems
- social sciencessociologyindustrial relationsautomation
- natural sciencescomputer and information sciencesartificial intelligenceexpert systems
- natural sciencescomputer and information sciencesdata sciencedata processing
Programme(s)
Topic(s)
Data not availableCall for proposal
Data not availableFunding Scheme
Data not availableCoordinator
BB1 5SN Blackburn
United Kingdom