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Year 2016, Volume 3, Issue 2, 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, Volume 3, Issue 2, 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.

Details

Primary Language English
Journal Section Research Article
Authors

Oktay ELKOCA This is me
ArcelorMittal Global R&D Center, East Chicago, IN, USA

Publication Date December 31, 2016
Application Date
Acceptance Date
Published in Issue Year 2016, Volume 3, Issue 2

Cite

Bibtex @ { hjse860019, journal = {Hittite Journal of Science and Engineering}, eissn = {2148-4171}, address = {Hitit Üniversitesi Mühendislik Fakültesi Kuzey Kampüsü Çevre Yolu Bulvarı 19030 Çorum / TÜRKİYE}, publisher = {Hitit University}, year = {2016}, volume = {3}, number = {2}, pages = {87 - 90}, doi = {10.17350/HJSE19030000036}, title = {Classification and Rating of Inclusions in Steel Using an Image Analysis Software}, key = {cite}, author = {Elkoca, Oktay} }
APA Elkoca, O. (2016). Classification and Rating of Inclusions in Steel Using an Image Analysis Software . Hittite Journal of Science and Engineering , 3 (2) , 87-90 . DOI: 10.17350/HJSE19030000036
MLA Elkoca, O. "Classification and Rating of Inclusions in Steel Using an Image Analysis Software" . Hittite Journal of Science and Engineering 3 (2016 ): 87-90 <https://dergipark.org.tr/en/pub/hjse/issue/59669/860019>
Chicago Elkoca, O. "Classification and Rating of Inclusions in Steel Using an Image Analysis Software". Hittite Journal of Science and Engineering 3 (2016 ): 87-90
RIS TY - JOUR T1 - Classification and Rating of Inclusions in Steel Using an Image Analysis Software AU - OktayElkoca Y1 - 2016 PY - 2016 N1 - doi: 10.17350/HJSE19030000036 DO - 10.17350/HJSE19030000036 T2 - Hittite Journal of Science and Engineering JF - Journal JO - JOR SP - 87 EP - 90 VL - 3 IS - 2 SN - -2148-4171 M3 - doi: 10.17350/HJSE19030000036 UR - https://doi.org/10.17350/HJSE19030000036 Y2 - 2022 ER -
EndNote %0 Hittite Journal of Science and Engineering Classification and Rating of Inclusions in Steel Using an Image Analysis Software %A Oktay Elkoca %T Classification and Rating of Inclusions in Steel Using an Image Analysis Software %D 2016 %J Hittite Journal of Science and Engineering %P -2148-4171 %V 3 %N 2 %R doi: 10.17350/HJSE19030000036 %U 10.17350/HJSE19030000036
ISNAD Elkoca, Oktay . "Classification and Rating of Inclusions in Steel Using an Image Analysis Software". Hittite Journal of Science and Engineering 3 / 2 (December 2016): 87-90 . https://doi.org/10.17350/HJSE19030000036
AMA Elkoca O. Classification and Rating of Inclusions in Steel Using an Image Analysis Software. Hittite J Sci Eng. 2016; 3(2): 87-90.
Vancouver Elkoca O. Classification and Rating of Inclusions in Steel Using an Image Analysis Software. Hittite Journal of Science and Engineering. 2016; 3(2): 87-90.
IEEE O. Elkoca , "Classification and Rating of Inclusions in Steel Using an Image Analysis Software", Hittite Journal of Science and Engineering, vol. 3, no. 2, pp. 87-90, Dec. 2016, doi:10.17350/HJSE19030000036