Application of Neural Networks in Steels' Chemical Composition Design

Journal of the Brazilian Society of Mechanical Sciences and Engineering

Volumn 25, Issue 2, 2003, Pages 185-188

  Dobrzanski L A ^a   Sitek, W ^a  

^a SILESIAN UNIVERSITY OF TECHNOLOGY   (Poland)

Author keywords

Chemical composition; Hardenability; Modeling; Neural network; Steel

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPOSITION; COMPUTER AIDED SOFTWARE ENGINEERING; HARDENING; NEURAL NETWORKS;

STEEL ALLOYS;

STEEL HEAT TREATMENT;

EID: 0242720495     PISSN: 16785878     EISSN: None     Source Type: Journal    
DOI: 10.1590/s1678-58782003000200012     Document Type: Article

References (4)

1. ASTM A225-1985, "Standard Method for End-Quench Test for Hardenability of Steel".
2. Dobrzański, L.A, & Sitek, W., 1998, Application of neural network in modelling of hardenability of constructional steels, Journal of Materials Processing Technology, vol.78, 1-3, pp. 59-66.
3. th Asia Pacific Conference on Materials Processing, Singapore), vol.89-90, pp. 467-472
4. Pickering, F.B., 1978, "Physical Metallurgy and the design of steels", Applied science publisher LłTD, London.