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Year 2016, , 87 - 90, 31.12.2016
https://doi.org/10.17350/HJSE19030000036

Abstract

References

  • 1. Metallography and Microstructure, Metals Handbook, Vol. 9, Ninth Ed., ASM (1985) p. 9.
  • 2. Sims, C. E. Transactions of the Metallurgical Society of AIME, 215 (1959) 367-393.
  • 3. Kissling, R. Non-Metallic Inclusions in Steels, The Institute of Metals, London, (1978).
  • 4. Rungta, R., Skidmore,A. J. and Buchheit, R. D. Inclusions: Advantages, Disadvantages, and The Technological Trends, Ed. by R. Rungta, World Materials Congress, Chicago, Illinois, USA, Sept. 1988, ASM International, pp. 1-19.
  • 5. Gladman, T., Holmes, B. and McIvor, I. D. The Effect of Second Phase Particles on the Mechanical Properties of Steel, Iron and Steel Institute Special Report 145, London, (1971), pp. 68–78.
  • 6. SS 111116, Steel-Method for Estimation of the Content of Non-metallic Inclusions-Microscopic MethodsJernkontoret’s Inclusion Chart II for the Assesment of Non-metallic Inclusion, Swedish Institute for Standards, Stockholm, Sweden (1987).
  • 7. ASTM E45-13, Standard Test Methods for Determining the Inclusion Content of Steel, ASTM, Philadelphia, PA, USA, (2013).
  • 8. Gladman, T. Quantitative Metallography: Recent Experience with Automatic Image analysis, Clean steels 3, Balatonfured, Hungary, (1986) 50.

Classification and Rating of Inclusions in Steel Using an Image Analysis Software

Year 2016, , 87 - 90, 31.12.2016
https://doi.org/10.17350/HJSE19030000036

Abstract

Inclusions play an important role in the performance of steel products. In this respect, they should be accurately characterized in steels. Developing computer technology and softwares have been allowed to evaluate the inclusion content of a steel products by classifying and rating numerous inclusions in a large number of fields through optical microscope. However, due to the difficulties encountered in classification, it still needs experienced operators’ intervention, and advanced tools like SEM-EDS for accurate results

References

  • 1. Metallography and Microstructure, Metals Handbook, Vol. 9, Ninth Ed., ASM (1985) p. 9.
  • 2. Sims, C. E. Transactions of the Metallurgical Society of AIME, 215 (1959) 367-393.
  • 3. Kissling, R. Non-Metallic Inclusions in Steels, The Institute of Metals, London, (1978).
  • 4. Rungta, R., Skidmore,A. J. and Buchheit, R. D. Inclusions: Advantages, Disadvantages, and The Technological Trends, Ed. by R. Rungta, World Materials Congress, Chicago, Illinois, USA, Sept. 1988, ASM International, pp. 1-19.
  • 5. Gladman, T., Holmes, B. and McIvor, I. D. The Effect of Second Phase Particles on the Mechanical Properties of Steel, Iron and Steel Institute Special Report 145, London, (1971), pp. 68–78.
  • 6. SS 111116, Steel-Method for Estimation of the Content of Non-metallic Inclusions-Microscopic MethodsJernkontoret’s Inclusion Chart II for the Assesment of Non-metallic Inclusion, Swedish Institute for Standards, Stockholm, Sweden (1987).
  • 7. ASTM E45-13, Standard Test Methods for Determining the Inclusion Content of Steel, ASTM, Philadelphia, PA, USA, (2013).
  • 8. Gladman, T. Quantitative Metallography: Recent Experience with Automatic Image analysis, Clean steels 3, Balatonfured, Hungary, (1986) 50.
There are 8 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Oktay Elkoca This is me

Publication Date December 31, 2016
Published in Issue Year 2016

Cite

Vancouver Elkoca O. Classification and Rating of Inclusions in Steel Using an Image Analysis Software. Hittite J Sci Eng. 2016;3(2):87-90.

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