Journal
FUZZY SYSTEMS AND DATA MINING VI
Volume 331, Issue -, Pages 656-662Publisher
IOS PRESS
DOI: 10.3233/FAIA200743
Keywords
Fuzzy logic system; Data scarcity; Fatigue related properties prediction; Cast iron components
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For many industries, an understanding of the fatigue behavior of cast iron is important but this topic is still under extensive research in materials science. This paper offers fuzzy logic as a data-driven approach to address the challenge of predicting casting performance. However, data scarcity is an issue when applying a data-driven approach in this field; the presented study tackled this problem. Four fuzzy logic systems were constructed and compared in the study, two based solely upon experimental data and the others combining the same experimental data with data drawn from relevant literature. The study showed that the latter demonstrated a higher accuracy for the prediction of the ultimate tensile strength for cast iron.
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