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<p>A comprehensive methodology to estimate the microstructural degradation after prolonged service, and hence the damage level related to natural aging process, is yet to be established. Hence, the primary objective of this study is to quantitatively assess the microstructural degradation severity attributed to the natural aging process in low carbon steels. Experimental samples, obtained from an API 5L X42 low carbon steel, were subjected to isothermal heat treatment at 500&#xa0;°C for four exposure times, simulating the natural aging degradation process. The artificially aged microstructures and resultant properties were consistent with those observed in an API 5L X42 steel retired after long-term service. The assessment is achieved through an analysis method of the degraded microstructures grounded in image processing. The developed program facilitates automated computation of the cementite spheroidization content. This is achieved by converting a scanning electron microscopy (SEM) metallography images into a binary representation using a morphological image processing algorithm. The proposed methodology allows to establish the damage level in terms of aging degree by correlating the spheroidization content with the degradation of mechanical properties, three levels of aging severity are proposed: low, moderate, and severe.</p>

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Image Processing Methodology to Quantify Natural Aging in Low Carbon Steels Exposed to Long-Term Service

  • 期刊论文

  • 发表日期：

    2025年2月18日

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  • Isaías Chamorro,
  • Diana K. Vite,
  • Manuel A. Beltrán,
  • Diego I. Rivas,
  • Jorge L. González,
  • Héctor J. Dorantes

摘要

A comprehensive methodology to estimate the microstructural degradation after prolonged service, and hence the damage level related to natural aging process, is yet to be established. Hence, the primary objective of this study is to quantitatively assess the microstructural degradation severity attributed to the natural aging process in low carbon steels. Experimental samples, obtained from an API 5L X42 low carbon steel, were subjected to isothermal heat treatment at 500 °C for four exposure times, simulating the natural aging degradation process. The artificially aged microstructures and resultant properties were consistent with those observed in an API 5L X42 steel retired after long-term service. The assessment is achieved through an analysis method of the degraded microstructures grounded in image processing. The developed program facilitates automated computation of the cementite spheroidization content. This is achieved by converting a scanning electron microscopy (SEM) metallography images into a binary representation using a morphological image processing algorithm. The proposed methodology allows to establish the damage level in terms of aging degree by correlating the spheroidization content with the degradation of mechanical properties, three levels of aging severity are proposed: low, moderate, and severe.