Influence of process parameters on the properties of austempered ductile iron (ADI) examined with the use of data mining methods

Abstract

The article presents opportunities offered by the data mining analysis as applied to studies of the effect of process parameters on the mechanical properties of ADI. The applied methods of regression trees and cluster analysis allow for the detection of relationships between parameters and also allow determination of strength and form of the impact of different factors. The results of this study allow the creation of knowledge bases for systems supporting the decision-making process in technology.

Keywords

• ADI
• mechanical properties
• temperature
• data mining
• cluster analysis