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<p>Residual stresses in surface-modified layers (SMLs) significantly obscure intrinsic mechanical properties, thereby hindering the accurate characterization of gradient materials. To address this, a novel layer-by-layer inverse identification framework is developed to decouple intrinsic elastoplastic responses from initial residual stress fields by integrating high-throughput finite element simulations with experimental stress–strain data from layered specimens. Unlike conventional characterization methods, this framework systematically quantifies the localized constitutive parameters across the gradient region by accounting for the pre-stress state. Application to carburized 18CrNiMo7-6 steel successfully established depth-dependent functional relationships between hardness, residual stress, and intrinsic properties, revealing the modulation of residual stress fields on the material's constitutive parameters. This methodology provides a robust strategy for the high-fidelity mechanical modeling and performance evaluation of surface-strengthened components.</p>

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Layer-by-layer inverse identification of intrinsic elastic–plastic properties for carburized steel considering residual stress decoupling

  • 期刊论文

  • 发表日期：

    2026年7月19日

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  • ZhiXin Zhang,
  • YanMin Li,
  • Tong Li,
  • XuHui Zhang,
  • PengHui Niu,
  • GuangZhao Han,
  • Gang Wang,
  • MingHao Zhao,
  • ZengTao Chen,
  • GuangTao Xu

摘要

Residual stresses in surface-modified layers (SMLs) significantly obscure intrinsic mechanical properties, thereby hindering the accurate characterization of gradient materials. To address this, a novel layer-by-layer inverse identification framework is developed to decouple intrinsic elastoplastic responses from initial residual stress fields by integrating high-throughput finite element simulations with experimental stress–strain data from layered specimens. Unlike conventional characterization methods, this framework systematically quantifies the localized constitutive parameters across the gradient region by accounting for the pre-stress state. Application to carburized 18CrNiMo7-6 steel successfully established depth-dependent functional relationships between hardness, residual stress, and intrinsic properties, revealing the modulation of residual stress fields on the material's constitutive parameters. This methodology provides a robust strategy for the high-fidelity mechanical modeling and performance evaluation of surface-strengthened components.