Synchrotron and neural network analysis of the influence of composition and heat treatment on the rolling contact fatigue of hypereutectoid pearlitic steels

W. Solano-Alvarez, M. J. Peet, E. J. Pickering, J. Jaiswal, Adam Bevan, H. K D H Bhadeshia

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

A series of experimental hypereutectoid pearlitic steels were tested under rolling contact sliding conditions using a lubricated twin-disc setup to study the influence of different chemical compositions and heat treatments on rolling contact fatigue life. Tested samples were then characterised using microscopy and synchrotron measurements as a function of depth from the contact surface. Results, analysed through neural networks, indicate that the most influential factor in lengthening the number of cycles to crack initiation of hypereutectoid steels is hardness, attained by increasing the cooling rate from the hot rolling temperature, but adequate alloying additions can enhance it further. The harder, fast-cooled samples displayed less plastic flow at the surface than the softer slow-cooled ones. With regard to chemical composition, silicon was found to strengthen the ferrite thus reducing strain incompatibilities with the cementite, preventing in this way the fragmentation and eventual dissolution of the lamellae. This is beneficial since larger depths of cementite dissolution were found in samples with lower cycles to crack initiation for a given cooling rate (hardness). Samples containing vanadium lasted longer and displayed less plastic deformation at the surface than those without, at a similar hardness.
LanguageEnglish
Pages259-269
Number of pages11
JournalMaterials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing
Volume707
Early online date14 Sep 2017
DOIs
Publication statusPublished - 7 Nov 2017

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network analysis
Steel
Electric network analysis
Synchrotrons
synchrotrons
heat treatment
Hardness
Heat treatment
steels
Fatigue of materials
Neural networks
Crack initiation
cementite
hardness
crack initiation
Dissolution
Chemical analysis
Cooling
Vanadium
dissolving

Cite this

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title = "Synchrotron and neural network analysis of the influence of composition and heat treatment on the rolling contact fatigue of hypereutectoid pearlitic steels",
abstract = "A series of experimental hypereutectoid pearlitic steels were tested under rolling contact sliding conditions using a lubricated twin-disc setup to study the influence of different chemical compositions and heat treatments on rolling contact fatigue life. Tested samples were then characterised using microscopy and synchrotron measurements as a function of depth from the contact surface. Results, analysed through neural networks, indicate that the most influential factor in lengthening the number of cycles to crack initiation of hypereutectoid steels is hardness, attained by increasing the cooling rate from the hot rolling temperature, but adequate alloying additions can enhance it further. The harder, fast-cooled samples displayed less plastic flow at the surface than the softer slow-cooled ones. With regard to chemical composition, silicon was found to strengthen the ferrite thus reducing strain incompatibilities with the cementite, preventing in this way the fragmentation and eventual dissolution of the lamellae. This is beneficial since larger depths of cementite dissolution were found in samples with lower cycles to crack initiation for a given cooling rate (hardness). Samples containing vanadium lasted longer and displayed less plastic deformation at the surface than those without, at a similar hardness.",
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Synchrotron and neural network analysis of the influence of composition and heat treatment on the rolling contact fatigue of hypereutectoid pearlitic steels. / Solano-Alvarez, W.; Peet, M. J.; Pickering, E. J.; Jaiswal, J.; Bevan, Adam; Bhadeshia, H. K D H.

In: Materials Science & Engineering A: Structural Materials: Properties, Microstructure and Processing, Vol. 707, 07.11.2017, p. 259-269.

Research output: Contribution to journalArticle

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AU - Solano-Alvarez, W.

AU - Peet, M. J.

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AU - Bevan, Adam

AU - Bhadeshia, H. K D H

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