Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Computational Determination of Macroscopic Mechanical and Thermal Material Properties for Different Microstructural Variants of Cast Iron

Version 1 : Received: 27 July 2021 / Approved: 29 July 2021 / Online: 29 July 2021 (12:33:20 CEST)

How to cite: Herrmann, C.; Schmid, S.; Schneider, D.; Selzer, M.; Nestler, B. Computational Determination of Macroscopic Mechanical and Thermal Material Properties for Different Microstructural Variants of Cast Iron. Preprints 2021, 2021070655 (doi: 10.20944/preprints202107.0655.v1). Herrmann, C.; Schmid, S.; Schneider, D.; Selzer, M.; Nestler, B. Computational Determination of Macroscopic Mechanical and Thermal Material Properties for Different Microstructural Variants of Cast Iron. Preprints 2021, 2021070655 (doi: 10.20944/preprints202107.0655.v1).

Abstract

The sensitivity of macroscopic mechanical and thermal properties of grey cast iron is computationally investigated for a variety of graphite microstructures over a wide temperature range. In order to represent common graphite microstructures according to DIN EN ISO 945-1, a synthetic approach is used to algorithmically generate simulation domains. The developed mechanical and thermal model is applied in a large simulation study. The study includes statistical volume elements of the graphite microstructures classes GG-15 and IA2 to IA5, with 10 v.-%, 11 v.-% and 12 v.-% graphite, respectively, for a temperature range from 20 °C to 750 °C. Homogenized macroscopic quantities such as the Young's moduli, Poisson's ratios, yield strengths and thermal conductivities are predicted for the different microstructure classes by applying simulation and data analysis tools of the research data infrastructure Kadi4Mat.

Keywords

cast iron with lamellar graphite; graphite microstructure; mechanical properties; thermal properties; material properties; microstructure simulations; homogenization; material data workflow

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