4.6 Article

Strain Analysis of Multi-Phase Steel Using In-Situ EBSD Tensile Testing and Digital Image Correlation

Journal

METALS AND MATERIALS INTERNATIONAL
Volume 28, Issue 5, Pages 1094-1104

Publisher

KOREAN INST METALS MATERIALS
DOI: 10.1007/s12540-021-01044-0

Keywords

Digital image correlation; Microstructure; Electron backscatter diffraction; In-situ test

Funding

  1. National Research Foundation of Korea (NRF) [2021M3H4A6A01049712]
  2. Korea Evaluation Institute of Industrial Technology (KEIT)
  3. Ministry of Trade, Industry and Energy (MOTIE) of the Republic of Korea [1415168877]
  4. Fundamental R&D Program of the Korea Institute of Materials Science [PNK6920]
  5. National Research Foundation of Korea (NRF) - Korean Government (MSIT) [2019M3D1A1079215, 2020R1A5A6017701, 2021R1A2C3005096]
  6. National Research Council of Science & Technology (NST), Republic of Korea [PNK6920] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)
  7. National Research Foundation of Korea [2019M3D1A1079215, 2021R1A2C3005096] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

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A detailed in-situ analysis of local strain accommodation on transformation induced plasticity (TRIP) aided multi-phase steel was performed using various characterization techniques, revealing that soft acicular ferrite accommodated the largest strain while retained austenite transformed gradually into martensite causing strain localization.
An in-situ analysis of local strain accommodation on transformation induced plasticity (TRIP) aided multi-phase steel was performed with a correlative application of characterization techniques such as digital image correlation (DIC), electron backscatter diffraction (EBSD), and micro-mechanical testing. The local strain on the complex microstructure of the multi-phase steel was measured during a tensile test using an innovative DIC method (which does not employ artificial patterns), in conjunction with a scanning electron microscope. The constituent phases of the examined surface were identified by postprocessing implemented on the EBSD maps. This was further verified by nano-indentation, consequently enabling systematic and quantitative analyses of the strain partitioning between the phases. Soft acicular ferrite accommodated the largest strain with sites of intense strain localization around the hard, neighboring martensite. The retained austenite transformed gradually into martensite because of the applied strain and caused strain localization in the neighboring acicular ferrite. This verified that DIC method proposed in this study enables precise and effective data collection at the interfaces between different phases that could have certainly been blocked by the DIC patterns in the conventional method.

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