A Creep Constitutive Model, Based on Deformation Mechanisms and Its Application to Creep Crack Growth

Zhang, Jingwei; Li, Jie; Zan, Jingyi; Guo, Zijian; Liu, Kanglin

doi:10.3390/met12122179

Cited by 4 publications

(1 citation statement)

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“…The model was developed using the time-temperature superposition principle by integrating Norton-Bailey, and Kachanov-Rabotnov models using the continuum damage mechanics approach to cover the limitations of one model over another [26]. The model was employed in the FE package ABAQUS using a user subroutine scripting method [27]. The developed model was tested on FE dog bone stainless steel 304 specimens to predict the creep deformation stages with higher accuracy than other existing models when compared with the experimental data [28].…”

Section: Introductionmentioning

confidence: 99%

New Creep Crack Growth Prediction Model for the Life Assessment of Stainless-Steel Material Using Computational Modeling

Sattar,

Othman,

Othman

et al. 2023

Metals

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The limitations of the established and existing creep failure models have inspired the development of a new creep prediction model. Models like Norton–Bailey and Omega are unable to model the tertiary creep curve for engineering materials. Kachanov–Rabotnov, Theta Projection, and Sine hyperbolic models rely on specific material properties for accurate damage predictions. In order to overcome these weaknesses, a new creep model combining the Norton–Bailey and Kachanov–Rabotnov models has been further devised for the creep life prediction of metallic materials. The model combination helps in covering the limitations of one model over another and to benefit from each other’s strengths. A technique of user subroutine scripting was adapted to implement the new creep model in finite element (FE) software of ABAQUS, manufactured by Dassault Systemes, version 2020. The new model was tested on an FE dog bone stainless steel 304 specimen; the analysis showed excellent agreement with the experimental creep deformation data at 600 °C to 700 °C. The creep strain rate curves obtained by the method of user subroutine scripting were found to be 90.69% accurate to the 1000 h experimental creep strain rate curve. Similarly, while comparing with the 336 h experimental creep test, the new model accuracy was found to be 92.66% for the creep strain rate curve. The new model’s precision was 91.56% when compared with the Omega and Norton–Bailey models for creep strain rate for the same conditions. The quantitative accuracy of the new creep model is better as compared to the existing creep models and can be an improved source of alternatives to existing creep models for the deformation predictions.

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Section: Introductionmentioning

confidence: 99%