Study on thermal analysis models used in gray cast iron quality prediction

Citation
Dy. Li et al., Study on thermal analysis models used in gray cast iron quality prediction, INT J CAST, 11(5), 1999, pp. 391-394
Citations number
5
Categorie Soggetti
Metallurgy
Journal title
INTERNATIONAL JOURNAL OF CAST METALS RESEARCH
ISSN journal
13640461 → ACNP
Volume
11
Issue
5
Year of publication
1999
Pages
391 - 394
Database
ISI
SICI code
1364-0461(1999)11:5<391:SOTAMU>2.0.ZU;2-9
Abstract
In order to get practical models, we've made a lot of experiments about the rmal analysis on gray cast irons and got various models by means of differe nt mathematical methods these years. It was proved that artificial neural n etworks (ANNs) were fit for modeling of cast iron quality prediction. Two k inds of BP networks for calculating chemical composition and mechanical pro perties of gray cat iron were studied. Based on these effective models, we can develop various types of gray cast irons quality testers. In this paper , the basic method of applying ANNs in gray cast iron quality prediction an d the results are introduced.