Application of Image Analysis Method Combined with Microhardness Measurement to Determine Phase Fractions

Aarne Pohjonen; Sami Koskenniska; Juha Uusitalo; Tun Nyo; Jari Larkiola; Jukka I. Kömi

doi:10.4028/www.scientific.net/MSF.1016.1153

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HomeMaterials Science ForumMaterials Science Forum Vol. 1016Application of Image Analysis Method Combined with...

Application of Image Analysis Method Combined with Microhardness Measurement to Determine Phase Fractions

Abstract:

We have determined different phase fractions from microscopy images using semi-automated image analysis fitting technique, and in addition we have classified each phase according to its hardness. The distribution of grayscale pixels of different phases is first characterised separately for each phase, which are sampled from the microscope image. After this the distributions of the separate phases are fitted to give the corresponding distribution of the whole image. The microhardness measurement provides reliability on the classification of the different phases to ferrite, bainite or martensite. In addition to describing the applied techniques in detail, we present the results obtained from the analysis for one steel subjected to isothermal holding experiments at different temperatures.

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Periodical:

Materials Science Forum (Volume 1016)

Pages:

1153-1158

DOI:

https://doi.org/10.4028/www.scientific.net/MSF.1016.1153

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Online since:

January 2021

Authors:

Aarne Pohjonen*, Sami Koskenniska, Juha Uusitalo, Tun Nyo, Jari Larkiola, Jukka I. Kömi

Keywords:

Bainite, Ferrite, Hardness, Image Analysis, Martensite, Microstructural Characterization, Pearlite, Steel

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References

[1] A. Pohjonen, M. Somani, D. Porter, Modelling of austenite transformation along arbitrary cooling paths, Computational Materials Science 150 (2018) 244-251, https://doi.org/10.1016/j.commatsci.2018.03.052.

DOI: 10.1016/j.commatsci.2018.03.052

Google Scholar

[2] A. Pohjonen, A. Kaijalainen, J. Mourujärvi, J. Larkiola, Computer simulations of austenite decomposition of hot formed steels during cooling, Procedia Manufacturing, 15, 2018, 1864-1871, https://doi.org/10.1016/j.promfg.2018.07.203.

DOI: 10.1016/j.promfg.2018.07.203

Google Scholar

[3] O. Seppälä, A. Pohjonen, A. Kaijalainen, J. Larkiola, D. Porter, Simulation of bainite and martensite formation using a novel cellular automata method, Procedia Manufacturing 15 (2018), 1856-1863, https://doi.org/10.1016/j.promfg.2018.07.204.

DOI: 10.1016/j.promfg.2018.07.204

Google Scholar

[4] A. Pohjonen, M. Somani, D. Porter, Effects of Chemical Composition and Austenite Deformation on the Onset of Ferrite Formation for Arbitrary Cooling Paths. Metals 8 (2018) 540.

DOI: 10.3390/met8070540

Google Scholar

[5] J. Wu, P. J. Wray, C. I. Garcia, M. Hua, A. J. DeArdo, Image Quality Analysis: A New Method of Characterizing Microstructures, ISIJ International 45 2 (2005) 254-262.

DOI: 10.2355/isijinternational.45.254

Google Scholar