Intelligent real-time control of moulding mixture composition in foundries

Author

Voracek, Jan

Author_Institution

Dept. of Inf. Technol., Lappeenranta Univ. of Technol., Finland

fYear

1999

fDate

1999

Firstpage

110

Lastpage

115

Abstract

The implementation of an adaptive knowledge-based system in the foundry industry is presented. The problem of moulding mixture composition was solved because the majority of casting defects are due to inappropriate mould quality. The original learning method and system architecture was designed to ensure simple interaction and maintenance of the knowledge base as well as unambiguous interpretation of its content. Elimination of the human factor was achieved with fully automated real-time data acquisition. The method proposed was successfully tested in standard industrial conditions during a period of two years

Keywords

adaptive control; casting; data acquisition; intelligent control; knowledge based systems; learning systems; metallurgical industries; mixtures; moulding; real-time systems; adaptive knowledge-based system; casting defects; foundries; fully automated real-time data acquisition; inappropriate mould quality; industrial conditions; intelligent real-time control; learning method; moulding mixture composition; system architecture; Adaptive systems; Casting; Data acquisition; Electrical equipment industry; Foundries; Human factors; Intelligent control; Knowledge based systems; Learning systems; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Soft Computing Methods in Industrial Applications, 1999. SMCia/99. Proceedings of the 1999 IEEE Midnight-Sun Workshop on

Conference_Location

Kuusamo

Print_ISBN

0-7803-5280-7

Type

conf

DOI

10.1109/SMCIA.1999.782718

Filename

782718