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Computational determination of macroscopic mechanical and thermal material properties for different morphological variants of cast iron

Herrmann, Christoph; Schmid, Stefan; Schneider, Daniel; Selzer, Michael; Nestler, Britta

Abstract:
The sensitivity of macroscopic mechanical and thermal properties of grey cast iron is computationally investigated for a variety of graphite morphologies over a wide temperature range. In order to represent common graphite morphologies according to 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 morphology classes GJL-150 and IA2 to IA5, with 10, 11 and 12 v.−% of graphite precipitations, respectively, for a temperature range from 20 to 750 °C. Homogenised macroscopic quantities, such as the Young’s moduli, Poisson’s ratios, yield strengths and thermal conductivities, are predicted for different morphology classes by applying simulation and data analysis tools of the research data infrastructure Kadi4Mat. This is the first work to determine the mechanical and thermal properties of the morphology classes defined in EN ISO 945-1


Verlagsausgabe §
DOI: 10.5445/IR/1000139174
Veröffentlicht am 19.10.2021
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Angewandte Materialien - Computational Materials Science (IAM-CMS)
Publikationstyp Zeitschriftenaufsatz
Publikationsjahr 2021
Sprache Englisch
Identifikator ISSN: 2075-4701
KITopen-ID: 1000139174
HGF-Programm 43.31.01 (POF IV, LK 01) Multifunctionality Molecular Design & Material Architecture
Erschienen in Metals
Verlag MDPI
Band 11
Heft 10
Seiten 1588
Schlagwörter cast iron with lamellar graphite; graphite morphology; mechanical properties; thermal properties; material properties; morphology simulations; homogenisation; material data workflow
Nachgewiesen in Scopus
Web of Science
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