Control model of cooling-solidification process aiming at integrating the design and manufacture of the cast part

  • Florin Susac Department of Manufacturing Engineering, Dunarea de Jos University of Galati, Romania
Keywords: casting, prediction, artificial neural network, manufacturing

Abstract

The casting process control continues to be a very important deziderate for actual industry. During the last decades, researchers sought to identify new solutions for designing and manufacturing of products which had to fit their purposes. Many times, their work failed. This paper presents a theorethical algorithm for controlling the casting process, based on experimental results and artificial nural network prediction. The final goal is to manufacture parts with improved mechanical properties. There is the posibility to control the solidification phase of the casting process, even in permanent mould casting, the result consisting in advanced parts which correspond to industry criteria.

Published
2013-11-17
How to Cite
1.
Susac F. Control model of cooling-solidification process aiming at integrating the design and manufacture of the cast part. Annals of ”Dunarea de Jos” University of Galati, Fascicle V, Technologies in machine building [Internet]. 17Nov.2013 [cited 26Apr.2024];31:61-4. Available from: https://www.gup.ugal.ro/ugaljournals/index.php/tmb/article/view/1599
Section
Articles

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