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Unraveling submicron-scale mechanical heterogeneity by three-dimensional X-ray microdiffraction.

Runguang Li1, Qingge Xie1, Yan-Dong Wang2

  • 1State Key Laboratory for Advanced Metals and Materials, University of Science and Technology Beijing, Beijing 100083, China.

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Summary

This study reveals how lattice strain gradients in shear bands, observed using X-ray microdiffraction, cause mechanical heterogeneity and reduce fatigue limits in stainless steel. Understanding these microscopic mechanisms is key to preventing material failure.

Keywords:
X-ray microdiffractiondamage mechanismfatigueshear bandstrain gradient

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Area of Science:

  • Materials Science
  • Mechanical Engineering
  • Solid Mechanics

Background:

  • Shear banding is a common deformation process in materials, often leading to failure.
  • The precise microscopic mechanisms of strain localization and damage within shear bands are not fully understood due to complex spatial and temporal factors.

Purpose of the Study:

  • To investigate the 3D lattice strain field around fatigue shear bands in stainless steel with submicron resolution.
  • To elucidate the microscopic origins of mechanical heterogeneity and reduced fatigue limits in materials experiencing severe plastic deformation.

Main Methods:

  • Utilized synchrotron-based X-ray microdiffraction (μXRD) for high-resolution 3D lattice strain mapping.
  • Conducted both in situ and postmortem μXRD experiments on stainless steel samples with fatigue shear bands.

Main Results:

  • Identified significant lattice strain gradients at the intersections of primary and secondary shear bands.
  • Observed severe mechanical heterogeneities across fatigue shear bands, directly linked to strain gradients.
  • Demonstrated that these heterogeneities reduce the fatigue limits of the material, particularly in the high-cycle fatigue regime.

Conclusions:

  • Submicron resolution μXRD is effective for quantifying localized strain gradients in bulk materials.
  • Lattice strain gradients within shear bands are a critical factor in material damage and failure.
  • This research provides a pathway to better understand and predict material failure mechanisms at the microscale.