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<p>This article presents a numerical analysis of the mechanical behavior of TRIP 304L steel using an extended phenomenological model based on the work of Iwamoto et al. Reported existing models describe anisotropy and martensitic transformation separately as they do not explicitly capture their interaction, which limits their predictive capability. In our work, the proposed model introduces an explicit coupling between anisotropy (Hill’s yield criterion) and strain-induced martensitic transformation. The model’s performance was evaluated through simulations of tensile tests conducted in three distinct directions (0°, 45°, 90°) and U-bending tests, then compared with the experimental results obtained. The experimental tests were further supported by visual microscopy and x-ray diffraction (XRD) analyses, which allowed martensite phase evolution to be observed as a function of the applied deformation. The results indicate a progressive phase transformation with an increase in the martensite volume fraction. This alignment between experimental and simulation data validates the adopted approach for representing both the mechanical anisotropy and phase transformation (austenite to martensite) of TRIP 304L steel. The accuracy of this extended model in predicting martensite variations and mechanical behavior according to rolling direction suggests strong potential for its application in designing TRIP steel structures under complex loading conditions, paving the way for optimizations in demanding industrial applications.</p>

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A Combined Experimental–Numerical Approach for Modeling Anisotropic Martensitic Transformation in TRIP 304L Steel under Tension and Bending

  • 期刊论文

  • 发表日期：

    2025年12月16日

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  • Amar Boudedja,
  • Madjid Almansba,
  • Malek Habak,
  • Rabah Ferhoum,
  • Mokhtar Bencherif

摘要

This article presents a numerical analysis of the mechanical behavior of TRIP 304L steel using an extended phenomenological model based on the work of Iwamoto et al. Reported existing models describe anisotropy and martensitic transformation separately as they do not explicitly capture their interaction, which limits their predictive capability. In our work, the proposed model introduces an explicit coupling between anisotropy (Hill’s yield criterion) and strain-induced martensitic transformation. The model’s performance was evaluated through simulations of tensile tests conducted in three distinct directions (0°, 45°, 90°) and U-bending tests, then compared with the experimental results obtained. The experimental tests were further supported by visual microscopy and x-ray diffraction (XRD) analyses, which allowed martensite phase evolution to be observed as a function of the applied deformation. The results indicate a progressive phase transformation with an increase in the martensite volume fraction. This alignment between experimental and simulation data validates the adopted approach for representing both the mechanical anisotropy and phase transformation (austenite to martensite) of TRIP 304L steel. The accuracy of this extended model in predicting martensite variations and mechanical behavior according to rolling direction suggests strong potential for its application in designing TRIP steel structures under complex loading conditions, paving the way for optimizations in demanding industrial applications.