Study on the correlation of toughness with chemical composition and tensile test results in microalloyed API pipeline steels

In this investigation, an artificial neural network model with feed forward topology and back propagation algorithm was developed to predict the toughness (area underneath of stress-strain curve) of high strength low alloy steels. The inputs of the neural network included the weight perc...

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Autori principali:	Pouraliakbar H., Khalaj G., Jandaghi M.R., Khalaj M.J.
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	University of Belgrade, Technical Faculty, Bor 2015-01-01
Serie:	Journal of Mining and Metallurgy. Section B: Metallurgy
Soggetti:	artificial neural network modeling toughness tensile test microalloyed steel chemical composition
Accesso online:	http://www.doiserbia.nb.rs/img/doi/1450-5339/2015/1450-53391500025P.pdf
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