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Weldes, An Educational Software For Aluminium Welding
Prof. V. Tsoukalas, Merchant Marine Academy of Aspropyrgos, Paralia Aspropyrgou 19300, Aspropyrgos, Greece, Email: [email protected]
Prof. M. Kontesis, Technological Educational Institute of Piraeus, P. Ralli &Thivon 250, 12244 Aigaleo, Greece, Email: [email protected]
Dr E. Badogiannis, National Technical University of Athens, Iroon Polytechniou 9, 15773 Zografou, Greece, Email: [email protected]
D. Papachristos, Technological Educational Institute of Piraeus, P. Ralli &Thivon 250, 12244 Aigaleo, Greece, Email: [email protected]
Ass. Prof. N. Fragiadakis, Merchant Marine Academy of Aspropyrgos, Paralia Aspropyrgou 19300, Aspropyrgos, Greece, Email: [email protected]
ABSTRACT
The increased requirements for high quality aluminium welding in combination with method complexity as well as the conditions of international competition have been leading the manufacturing industry towards the adoption of promoted calculating tools. As a result, a great number of research institutions, universities and industrial units started an important research effort that aimed toward the growth and application of AI (expert systems, algorithms) in various applications. In this frame a prototype knowledge based expert system named WELDES (WELDing Expert System) has been developed under the frame of the European Project “Archimedes”, No 259(03). The system is able to identify the aluminium welding defects, to correlate them with the values of the welding parameters, which cause them, and to offer advice regarding the necessary corrective actions.
The system consists of two main modules: the Diagnostic Module and the Welding Parameters Module. The Defect Analysis System has been built using the KAPPA-PC cell. The structure of the program is ideally suited to the knowledge domain of the welding and the ship industry as it will make productive the previous knowledge and use the acquiring experience of many years in the research and production of high quality welding. The WELDES system is aiming to be used as a tool in technological institutes, universities and in industry itself for the education (or tele – education) in aluminium welding.
Key Words: Artificial Intelligence, Knowledge Engineering, Expert Systems, Aluminium Welding.
CONCLUSIONS
A prototype expert system for the diagnosis, assessment and alleviation of aluminum welding defects named WELDES is under development in TEI of Piraeus. The system will be able to identify the welding defects, correlate them to the causal welding process parameters and to offer advice regarding the necessary corrective actions.
Using information gathered during the validation of the system at shipyards and industries new considerations regarding the user interface are also being investigated. These include a log of user satisfaction ratings for solutions that will aid the updating of the knowledge base.
This research has been conducted within the framework of the “Archimedes: Funding of research groups in TEI of Piraeus” project, co-funded by the European Union (75%) and the Greek Ministry of Education (25%)
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