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Strength prediction for pearlitic lamellar graphite iron: Model validation
Swerea SWECAST, Jönköping, Sweden.
Jönköping University, School of Engineering, JTH, Materials and Manufacturing.
Jönköping University, School of Engineering, JTH, Materials and Manufacturing.ORCID iD: 0000-0002-3024-9005
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
MDPI, 2018. Vol. 8, no 9, article id 684
Keywords [en]
Gravity casting process simulation, Lamellar graphite iron, Primary austenite, Ultimate tensile strength
National Category
Metallurgy and Metallic Materials
Identifiers
URN: urn:nbn:se:hj:diva-41729DOI: 10.3390/met8090684ISI: 000448144400031Scopus ID: 2-s2.0-85053238597OAI: oai:DiVA.org:hj-41729DiVA, id: diva2:1252727
Available from: 2018-10-02 Created: 2018-10-02 Last updated: 2019-03-08Bibliographically approved
In thesis
1. Dendritic morphology and ultimate tensile strength of pearlitic lamellar graphite iron
Open this publication in new window or tab >>Dendritic morphology and ultimate tensile strength of pearlitic lamellar graphite iron
2019 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

The continued development, of cylinder blocks and cylinder heads for heavy truck engines that are made of lamellar graphite iron (LGI) is focused on achieving high ultimate tensile strength (UTS) whilst conforming to environmental regulations. The purpose of this work is to further improve the tensile strength as well as the predictive engineering tools for optimization of LGI aimed to enhance the efforts for producing lighter and sustainable components without sacrificing performance.

Varying the carbon content and solidification rate greatly influences the amount and the coarseness of the microstructure phases resulting in large variations of material properties. The experimental data set provided in this work covers a comprehensive range of microstructure and the UTS values aimed to be used in a holistic model for UTS prediction.

In pearlitic LGI the primary austenite dendritic network reinforces the material while the distance between the pearlite grains defines the maximum continuous defect size. The novel parameter of Hydraulic Diameter of the Inter-dendritic Phase (DIPHyd) has been introduced in this work to express the amount and the coarseness of the space between the pearlite grains that have been solidified as primary austenite dendrites. The DIPHyd has proven to be the generic parameter that defines the maximum continuous defect size in the material, and hence it has been applied in modified Griffith and Hall-Petch models for prediction of UTS.

Microstructure models have been developed for prediction of the key microstructure parameters that define the strength of LGI. These models have been combined with the modified Griffith and Hall-Petch equations and incorporated into casting simulation software to enable the strength prediction for pearlitic LGI alloys with various carbon contents. The results show that the developed models can be successfully applied, along with the simulation tools across a wide range of carbon content from eutectic to hypoeutectic composition, for the alloys solidified at various cooling rates typical for both thin and thick walled complex shaped iron castings.

Place, publisher, year, edition, pages
Jönköping: Jönköping University, School of Engineering, 2019. p. 47
Series
JTH Dissertation Series ; 38
Keywords
Lamellar graphite iron, Primary austenite dendrite, Ultimate tensile strength, Microstructure model
National Category
Metallurgy and Metallic Materials
Identifiers
urn:nbn:se:hj:diva-43228 (URN)978-91-87289-40-8 (ISBN)
Public defence
2019-01-16, 10:30 (English)
Opponent
Supervisors
Available from: 2019-03-08 Created: 2019-03-04 Last updated: 2019-03-08Bibliographically approved

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Belov, IljaDiószegi, Attila

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