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Quantitative metallographic characterization of welding microstructures in Ti-containing TWIP steel by means of image processing analysis

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Abstract Recrystallization and grain growth phenomena in Ti-containing Twining Induced Plasticity (TWIP-Ti) steel weld joints were studied. The joints obtained through the autogenous Gas Tungsten Arc Welding (GTAW) process at… Click to show full abstract

Abstract Recrystallization and grain growth phenomena in Ti-containing Twining Induced Plasticity (TWIP-Ti) steel weld joints were studied. The joints obtained through the autogenous Gas Tungsten Arc Welding (GTAW) process at different heat inputs were characterized taking into account their grain size distribution and the particle pinning. The temperature ranges at which recrystallization and grain growth occurred in TWIP-Ti steel welds were determined. The optical micrographs were analyzed by means of MATLAB-based image analysis. In-house routines were added to perform grain size distribution/classification. The statistical analysis performed on micrographs by the image processing code indicated that TWIP-Ti steel showed a bimodal grain size distribution after the solution heat treatment. The static recrystallization (SRX) process detected in the low heat input weld joint, modified its bimodal grain size distribution to normal logarithmic (lognormal). The high heat input in TWIP-Ti steel weld kept the bimodal distribution. The presence of precipitated particles like Ti(C, N) and AlN generated microstructural stability in TWIP-Ti steel at temperatures

Keywords: steel; twip steel; image; distribution; grain

Journal Title: Materials Characterization
Year Published: 2019

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