Use of Published Experimental Results to Validate Approaches to Gray and Ductile Iron Mechanical Properties Prediction

Cast iron is one of the most widely used materials in the world. Numerous experiments have been conducted in the last 50 years to develop specific microstructure and properties of cast iron. Chemical composition and processing variables have been studied to obtain optimum properties. Efforts have been made to use experimental variables (composition, cooling rate, liquid treatment) and nondestructive tests to predict cast iron’s mechanical properties. Most of these relationships are limited to the small data set conducted by a single research project. Researchers at the University of Alabama at Birmingham have collected published cast iron experimental results from the last 40 years to validate the usability of such relationships with a large set of experimental results. In this study, about 2000 cast iron sample data were collected from literature. Statistical analysis was done to compare predicted mechanical properties and experimental measurements. Mean percentage error and mean absolute error are summarized for the whole dataset and for applicable ranges. This summary provides suggestion for which model would be applicable for specific cast iron.