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Prediction of volume fraction of primary austenite at solidification of lamellar graphite cast iron using thermal analyses
Jönköping University, Sweden.
Jönköping University, Sweden.
RISE, Swerea, SWECAST.
2016 (English)In: Journal of thermal analysis and calorimetry (Print), ISSN 1388-6150, E-ISSN 1588-2926, Vol. 124, no 1, p. 215-225Article in journal (Refereed) Published
Abstract [en]

Lamellar graphite cast iron was investigated with carbon equivalents varied between CE = 3.4 and 4.26, cast at various cooling rates between 0.195 and 3.5 °C s-1 covering the limits used for technical applications in the production of complex-shaped lamellar graphite cast iron. Registered cooling curves displaced in two positions in the casting were used to predict the solidification and microstructure formation mechanisms. The predicted volume fraction of primary austenite was compared with the fraction of primary austenite measured on colour micrographs with the help of image analyses. A good correlation has been obtained for medium and slow cooling conditions, while a less good correlation at fast cooling condition was attributed to the used protective environment to preserve thermocouples. The observed fraction and the predicted fraction of primary austenite were in good correlation and followed a consequent variation dependent on the carbon equivalent. Furthermore, the quality of the prediction was dependent on the used numerical algorithm involving cooling information from either one or two thermocouples.

Place, publisher, year, edition, pages
Springer Netherlands , 2016. Vol. 124, no 1, p. 215-225
Keywords [en]
Coarsening, Lamellar graphite cast iron, Primary austenite, Thermal analyses, Algorithms, Austenite, Cooling, Forecasting, Graphite, Iron, Iron compounds, Phase diagrams, Solidification, Thermoanalysis, Thermocouples, Volume fraction, Carbon equivalent, Cooling conditions, Good correlations, Microstructure formation, Numerical algorithms, Technical applications, Cast iron
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-40960DOI: 10.1007/s10973-015-5158-zScopus ID: 2-s2.0-84948421599OAI: oai:DiVA.org:ri-40960DiVA, id: diva2:1376931
Available from: 2019-12-10 Created: 2019-12-10 Last updated: 2019-12-10Bibliographically approved

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