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Assessment of Reinforcement Phase Shape in MMC Using Decision Trees

Gawdzińska K., Pelczar M.

Archives of Foundry Engineering

2013

Vol. 13, iss. 2 spec.

39--42

This paper proposes a description of the reinforcement phase shape in MMCs by means of a decision, or classification tree analysis, recognized as a basic data mining technique. The material under examination was composed of reinforcement particles (SiC) in suspension composites with silumin matrix, made by mechanical stirring method. The use of decision tree method allowed to determine logic rules for the classification of particles to the category circle on the basis of its diameter and surface area, taking into account the division into three samples (depending on the location of the analyzed area in the casting space) and a reference sample (representative analysis area – of most desired shape in terms of composite quality - generated by simulation). To assess the accuracy of classification we used a redistribution indicator, that can be a measure used in describing the feature: homogeneity of reinforcement phase particle shape in the space of composite casting.