Abstract
Due to their low density and high toughness, compared to traditional steels, high-manganese austenitic steels are outstanding candidates across several industries like defense and automotive. Over the past few decades, modeling tools have found their way into foundries worldwide. Nonetheless, for these codes to provide trustworthy predictions, accurate input properties are required. For the composition studied (Fe30Mn4Al0.9C1Si0.5Mo), thermophysical properties are scarce in the literature. Hence, a coupled computational-experimental approach was used to determine the needed property data as function of temperature. Key properties like phase transitions, enthalpy, density, fraction solid, heat capacity (CP), latent heat and viscosity were determined using a commercially available thermodynamics calculation package. These properties were first calculated for known systems (304SS and A356), and the calculated results were compared to results from the literature. Thermophysical properties for the system of interest were then calculated. Validation for CP and liquidus and solidus temperatures was performed via differential scanning calorimetry (DSC). Detection of solidus temperature via DSC proved to be challenging, hence, a discrete-derivative analysis was conducted to determine this parameter. Mold filling and solidification simulations were performed and compared with actual castings.
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Acknowledgements
The authors would like to thank Dr. Adam Hope for fruitful discussions regarding the CALPHAD approach and the applicability of Thermal-Calc® to the work hereby presented. Special thanks to Mr. Matthew Jacobs from MAGMA Foundry Technologies, Inc. for reviewing this document and to Dr. Thomas W. Staley for his support during setup of the DSC measurements.
Funding
This work was sponsored by the Defense Logistics Agency—Troop Support, Philadelphia, PA and the Defense Logistics Agency Information Operations, J68, Research and Development, Ft Belvoir, VA and the Virginia Tech Economical and Sustainable Materials Destination Area.
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Umanzor, M.E., Drew, M.E. & Druschitz, A.P. Thermophysical Properties of Fe30Mn4Al0.9C: A Coupled Computational-Experimental Approach. Inter Metalcast 16, 521–534 (2022). https://doi.org/10.1007/s40962-021-00624-5
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DOI: https://doi.org/10.1007/s40962-021-00624-5