|About this Abstract
||7th World Congress on Integrated Computational Materials Engineering (ICME 2023)
||Multi-scale Microstructure Evolution Informed Constitutive Behavior Modeling of Cast Iron
||Ujjal Tewary, Shyamprasad Karagadde, Alankar Alankar, Goutam Mohapatra, Satyam S. Sahay, Indradev Samajdar
|On-Site Speaker (Planned)
Cast iron is one of the oldest materials known to humankind. A microstructure of cast iron exhibits different morphologies of graphite that range from flake to compacted to spheroidal particles. The morphology is controlled by magnesium addition during the solidification process. Though this technology dates back several decades, the exact mechanism of shape change remains debatable. This study used a combination of industrial casting trials, analytical microscopy, and molecular dynamics simulation to understand the origin of graphite morphology in cast iron. Further, from this theoretical premise, an integrated multi-scale model of coupled heat transfer and phase transformation during the solidification of different types of cast irons was developed and validated with experimental results. Finally, constitutive models were developed for studying the microstructure-property correlations. Thus, this study provided an appropriate example of an integrated computational multi-scale modeling approach of simulating a casting, predicting solidified microstructure, and obtaining structure-property correlations.