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This work aims to enhance the numerical simulation of sheet metal forming by accurately identifying anisotropic elastoplastic parameters of 18/10 stainless steel.

August 9, 2026Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science

Integrated hardening-anisotropy identification for stainless steel 18/10 using Barlat yield criterion and Lankford coefficients

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Authors

AKAymen KhadimallahNational Engineering School of Tunis AZAmna ZnaidiNational Engineering School of Tunis SFSafwen FkaierNational Engineering School of Tunis

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Randomized trial identifies anisotropic parameters in stainless steel, suggesting improved manufacturing processes.

Key Points

This work aims to enhance the numerical simulation of sheet metal forming by accurately identifying anisotropic elastoplastic parameters of 18/10 stainless steel.
Proposed a single-loop optimization framework for parameter identification.
Integrated directional off-axis stress-strain curves and Lankford coefficients into a unified calibration loop.
Conducted error assessment with an average root-mean-square error under 3% for flow stress and r-value predictions.
Achieved optimal calibration with a non-integer shape factor value of m = 6.1257.
Demonstrated significant predictive accuracy across all evaluated orientations.
Provided a computationally efficient tool to reduce reliance on trial-and-error in digital manufacturing.

Cite This Study

Khadimallah et al. (2026) studied this question.

synapsesocial.com/papers/6a782d7b2e1896536c84097d https://doi.org/10.1177/09544062261474921

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Integrated hardening-anisotropy identification for stainless steel 18/10 using Barlat yield criterion and Lankford coefficients

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Cite This Study

Integrated hardening-anisotropy identification for stainless steel 18/10 using Barlat yield criterion and Lankford coefficients

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Key Points

Cite This Study

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