Automatic classification of graphite in cast iron.
A method for automatic classification of the shape of graphite particles in cast iron is proposed. In a typical supervised classification procedure, the standard charts from the ISO-945 standard are used as a training and validation population. Several shape and size parameters are described and used as discriminants. A new parameter, the average internal angle, is proposed and is shown to be relevant for accurate classification. The ideal parameter sets are determined, leading to validation success rates above 90%. The classifier is then applied to real cast iron samples and provides results that are consistent with visual examination. The method provides classification results per particle, different from the traditional per field chart comparison methods. The full procedure can run automatically without user interference.
Gomes
Otávio da F M
Oda F
Department of Materials Science and Metallurgy, Catholic University of Rio de Janeiro, Rua Marquês de S. Vicente 225, sala 501L, Gávea, Rio de Janeiro, RJ 22453-900, Brazil.
Paciornik
Sidnei
S