Modelling the mechanical behaviour of heat-treated AISI 52100 bearing steel with retained austenite

Anoop, A D; Sekhar, A. S.; Kamaraj, M.; Gopinath, K.

doi:10.1177/1464420715612235

Cited by 8 publications

(8 citation statements)

References 56 publications

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“…Via an assigned state variable, the volume fraction at each location within the domain is used in ABAQUS to modify element specific material properties. For simplicity, a Voight or rule of mixtures solution is applied to calculate the yield strength for each element similar to previous modeling of RA in 52100 steel

S_{y} = V_{f} * S_{ya} + ((), 1 - V_{f}) * S_{ym}

where V f , S ya , and S ym are the volume fraction of austenite, yield strength of austenite, and yield strength of the matrix, respectively.…”

Section: Fem Model Of Rolling Contact Fatiguementioning

confidence: 99%

“…To incorporate the effect of habit planes, crystal orientations are randomly assigned to each element within the model. For SAE 52100, the habit planes are approximated as [2,2,5] using miller indices. 44 Shear and normal stresses are then resolved along habit planes based on the assigned crystal orientation.…”

Section: Driving Force Variationmentioning

confidence: 99%

“…These resolved stresses then directly modify the driving force required for RA to transform. The miller indices [2,2,5] can be represented by multiple equivalent planes within a given crystal lattice orientation; therefore, only the plane that most reduces the required driving force is considered as the habit plane for the specific crystal orientation.…”

Section: Driving Force Variationmentioning

confidence: 99%

“…The steel microstructure can be considered as a heterogeneous material with RA having a lower yield strength than the surrounding matrix . Anoop et al developed a model to characterize the material properties of 52100 steel as a function of RA concentration. The effectiveness of such a model is apparent in static loading conditions but not applicable for fatigue considerations as material microstructures evolve due to continuous periodic loading …”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A novel approach for modeling retained austenite transformations during rolling contact fatigue

Sadeghi

Chen

Wang

et al. 2017

Fatigue Fract Eng Mat Struct

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Retained austenite (RA) transformation in martensitic steels subjected to rolling contact fatigue (RCF) is a well‐established phenomenon. In this investigation, a novel approach is developed to predict martensitic transformations of RA in steels subjected to RCF. In order to achieve the objectives, a 2‐dimensional finite element model was developed to determine subsurface stresses due to rolling contact. These stresses are utilized within a continuum damage mechanics framework to determine RA transformations as a function of depth and cycles. Phase transformations were determined by comparing the required thermodynamic driving force for transformations to the energy dissipation of the microstructure. The results obtained from the combined FEA and continuum damage mechanics model were corroborated to the experimental results for RA decomposition as a function of depth and cycle for SAE 52100 steel. The results obtained are in good agreement with observed RA decomposition and DER formation as compared with the experimental results.

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S_{y} = V_{f} * S_{ya} + ((), 1 - V_{f}) * S_{ym}

where V f , S ya , and S ym are the volume fraction of austenite, yield strength of austenite, and yield strength of the matrix, respectively.…”

Section: Fem Model Of Rolling Contact Fatiguementioning

confidence: 99%

Section: Driving Force Variationmentioning

confidence: 99%

Section: Driving Force Variationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A novel approach for modeling retained austenite transformations during rolling contact fatigue

Sadeghi

Chen

Wang

et al. 2017

Fatigue Fract Eng Mat Struct

View full text Add to dashboard Cite

show abstract

“…Khan and Liu [32] incorporated an A-type rate equation into a 3D crystal plasticity formulation implemented into the FE program. Anoop et al [33] presented a microstructure-sensitive FE simulation approach, which considered the retained austenite using a modified A-type equation. To adapt to different materials, there have been many modified forms for the J–C and Z–A model in research studies [16,34,35,36,37].…”

Section: Introductionmentioning

confidence: 99%

A Comparative Study on Johnson Cook, Modified Zerilli–Armstrong, and Arrhenius-Type Constitutive Models to Predict Compression Flow Behavior of SnSbCu Alloy

Zhao

et al. 2019

Materials

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The flow behavior of the SnSbCu alloy is studied experimentally by the compression tests in the range of the strain rates from 0.0001 to 0.1 s−1 and temperature from 293 to 413 K. Based on the experimental data, three constitutive models including the Johnson–Cook (J–C), modified Zerilli–Armstrong (Z–A), and Arrhenius-type (A-type) models are compared to find out an optimum model to describe the flow behavior of the SnSbCu alloy. The results show that the J–C model could predict the flow behavior of the SnSbCu alloy accurately only at some specific strain rates and temperature near the reference values. The modified Z–A and A-type constitutive models can give better fitting results than the J–C model. While, at high strains, the predictive values of the modified Z–A model have larger errors than those at low strains, which means this model has limitations at high strains. By comparison, the A-type model could predict the experimental results accurately at the whole strain range, which indicates that it is a more suitable choice to describe the flow behavior of the SnSbCu alloy in the focused range of strain rates and temperatures. The work is beneficial to solve the tribological problem of the bearing of the marine engine by integrating the accurate constitutive model into the corresponding numerical model.

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On the effect of deformation conditions on the metal flow behavior during upsetting process using finite element simulation DEFORM 3D software

Obiko,

Shongwe,

Malatji

2024

Int J Interact Des Manuf

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The study reports on the metal flow behaviour during upsetting or forging using the finite element method. Forging simulation studied the metal flow behaviour of a laboratory-sized specimen and a cylindrical engine connecting rod specimen of AISI 52100 high-chromium steel specified in the software database. The focus was to study the effect of deformation conditions (temperature and die velocity) on metal flow behaviour during forging. The simulation results showed heterogeneous metal flow behaviour during forging. Hence, this indicates that effective flow stress and flow strain, particle flow velocity, effective strain rate, damage and temperature distribution exhibited inhomogeneous deformation behaviour. As the temperature increased, the forging load decreased, thus a decrease in deformation resistance. The simulation of the engine connecting rod further confirmed inhomogeneous deformation during forging. Damage coefficient results show that the crack pin end had a higher damage probability during forging. This study clearly showed that finite element simulation can predict metal flow behaviour during the forging of AISI 52100 steel. The study output provides a basis for analysing and optimising most industrial metal forming processes using a numerical simulation approach. Hence, this method is effective in predicting flow behaviour.

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Modelling the mechanical behaviour of heat-treated AISI 52100 bearing steel with retained austenite

Cited by 8 publications

References 56 publications

A novel approach for modeling retained austenite transformations during rolling contact fatigue

A novel approach for modeling retained austenite transformations during rolling contact fatigue

A Comparative Study on Johnson Cook, Modified Zerilli–Armstrong, and Arrhenius-Type Constitutive Models to Predict Compression Flow Behavior of SnSbCu Alloy

On the effect of deformation conditions on the metal flow behavior during upsetting process using finite element simulation DEFORM 3D software

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