Improving Steel Industrial Processes Using Genetic Algorithms and Finite Element Method
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Universidad de La Rioja
info
Publisher: SPRINGER-VERLAG
ISBN: 978-3-642-19643-0
Year of publication: 2011
Volume: 87
Pages: 233-241
Type: Book chapter
beta Ver similares en nube de resultadosAbstract
Steel industrial engineers must estimate optimal operational parameters of industrial processes and the correct model for complex material behaviour. Common practice has been to base these determinations on classic techniques, such as tables and theoretical calculations. In this paper three successful experiences combining finite element modelling with genetic algorithms are reported. On the one hand, two cases of improvement in steel industrial processes are explained; on the other hand, the efficient determination of realistic material behaviour laws is presented. The proposed methodology optimizes and fully automates these determinations. The reliability and effectiveness of combining genetic algorithms and the finite element method is demonstrated in all cases. © 2011 Springer-Verlag Berlin Heidelberg.