Evaluation of local strength via microstructural quantification in a pearlitic rail steel deformed by simultaneous compression and torsion
2018 (English)In: Materials Science & Engineering: A, ISSN 0921-5093, E-ISSN 1873-4936, Vol. 737, p. 341-347Article in journal (Refereed) Published
Abstract [en]
Pearlitic steels are commonly used for railway rails because they combine good strength and wear properties. During service, the passage of trains results in large accumulation of shear strains in the surface layer of the rail, sometimes leading to crack initiation. Knowledge of the material properties versus the shear strain in this layer is therefore important for fatigue life predictions. In this study, fully pearlitic R260 rail steel was deformed using a bi-axial torsion-compression machine to reach different shear strains. Microstructural parameters including interlamellar spacing, thickness of ferrite and cementite lamellae and dislocation density in the ferrite lamellae, as well as hardness were quantitatively characterized at different shear strain levels. Based on the microstructural observations and the quantification of the microstructural parameters, the local flow stresses were estimated based on boundary strengthening and dislocation strengthening models. A good agreement was found between the estimated flow stresses and the flow stresses determined from microhardness measurements. d
Place, publisher, year, edition, pages
Elsevier, 2018. Vol. 737, p. 341-347
Keywords [en]
Dislocation density, Hardness, Pearlitic rail steel, Strengthening mechanisms, TEM, Carbides, Ferrite, Pearlite, Plastic flow, Rails, Shear strain, Torsional stress, Transmission electron microscopy, Dislocation densities, Dislocation strengthening, Micro-structural observations, Microhardness measurement, Microstructural parameters, Microstructural quantifications, Pearlitic rail steels, Strengthening (metal)
National Category
Materials Engineering
Research subject
Materials Engineering
Identifiers
URN: urn:nbn:se:kau:diva-86923DOI: 10.1016/j.msea.2018.09.067ISI: 000448493600039Scopus ID: 2-s2.0-85053825626OAI: oai:DiVA.org:kau-86923DiVA, id: diva2:1608865
2021-11-042021-11-042021-11-29Bibliographically approved