On the use of artificial intelligence tools for fracture forecast in cold forming operations

Risultato della ricerca: Article

10 Citazioni (Scopus)

Abstract

The design of cold forming processes requires the availability of a procedure able to deal with the prevention of ductile fracture. In fact, the ability to predict fracture represents a powerful tool to improve the production quality in mechanical industry. In this paper, artificial intelligence (AI) techniques are applied to ductile fracture prediction in cold forming operations. The main advantage of the application of AI tools and in particular, of artificial neural networks (ANN), is the possibility to obtain a predictive tool with a wide applicability. The prediction results obtained in this paper fully demonstrate the usefulness of the proposed approach.
Lingua originaleEnglish
pagine (da-a)315-318
Numero di pagine4
RivistaJournal of Materials Processing Technology
Volume177
Stato di pubblicazionePublished - 2006

All Science Journal Classification (ASJC) codes

  • Ceramics and Composites
  • Computer Science Applications
  • Metals and Alloys
  • Industrial and Manufacturing Engineering

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