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Strength prediction for pearlitic lamellar graphite iron: Model validation
Jönköping University, Sweden.
Jönköping University, Sweden.
RISE - Research Institutes of Sweden, Swerea, Swerea SWECAST.
2018 (English)In: Metals, ISSN 2075-4701, Vol. 8, no 9, article id 684Article in journal (Refereed) Published
Abstract [en]

The present work provides validation of the ultimate tensile strength computational models, based on full-scale lamellar graphite iron casting process simulation, against previously obtained experimental data. Microstructure models have been combined with modified Griffith and Hall–Petch equations, and incorporated into casting simulation software, to enable the strength prediction for four pearlitic lamellar cast iron alloys with various carbon contents. The results show that the developed models can be successfully applied within the strength prediction methodology along with the simulation tools, for a wide range of carbon contents and for different solidification rates typical for both thin-and thick-walled complex-shaped iron castings.

Place, publisher, year, edition, pages
2018. Vol. 8, no 9, article id 684
Keywords [en]
Gravity casting process simulation, Lamellar graphite iron, Primary austenite, Ultimate tensile strength
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-35206DOI: 10.3390/met8090684Scopus ID: 2-s2.0-85053238597OAI: oai:DiVA.org:ri-35206DiVA, id: diva2:1254812
Note

(This article belongs to the Special Issue Cast Irons: Properties and Applications)

Available from: 2018-10-10 Created: 2018-10-10 Last updated: 2018-10-10Bibliographically approved

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