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

Authors

  • 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.

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Published

2013-11-17

Issue

Section

Articles

How to Cite

1.
Control model of cooling-solidification process aiming at integrating the design and manufacture of the cast part. Ann_UGAL_TMB [Internet]. 2013 Nov. 17 [cited 2026 Nov. 2];31:61-4. Available from: https://ojs.ugal.ro/index.php/tmb/article/view/1599

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