Investigating the Material Properties of Nodular Cast Iron from a Data Mining Perspective

Cast iron is a very common and useful metal alloy, characterized by its high carbon content (>4%) in the allotropic state of graphite. The correct shape distribution graphite are essential for ensuring that material has right properties. present investigation examines metallurgical mechanical characterization spheroidal (nodular) cast iron, an alloy derives name excellent properties from presence as nodules. Experimental data detected considered mining perspective, with scope to extract new little-known information. Specifically, machine learning toolkit (i.e., Orange Data Mining) used means permitting supervised learners/classifiers (such neural networks, k-nearest neighbors, many others) understand related features. An accuracy rate over 90% can be representative method. Finally, interesting considerations emerged regarding dimensional effect on variation solidification rates, microstructure,