Automated image analysis for quantification of materials microstructure evolution

10Citations
Citations of this article
15Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this work, an automated image analysis procedure for the quantification of microstructure evolution during creep is proposed for evaluating scanning electron microscopy micrographs of a single crystal Ni-based superalloy before and after creep at 950 °C and 350 MPa. scanning electron microscopy-micrographs of γ/γ′ microstructures are transformed into binary images. Image analysis, which involves pixel by pixel classification and feature extraction, is then combined with a supervised machine learning algorithm to improve the binarization and the quality of the results. The binarization of the gray scale images is not always straight forward, especially when the difference in gray levels between the γ-channels and the γ′-phase is small. To optimize feature extraction, we utilized a series of bilateral filters as well as a machine learning algorithm, known as the gradient boosting method, that was used for training and classifying the micrograph pixels. After testing the two methods, the gradient boosting method was identified as the most effective. Subsequently, a Python routine was written and implemented for the automated quantification of the γ′ area fraction and the γ channel width. Our machine learning method is documented and the results of the automatic procedure are discussed based on results which we previously reported in the literature.

Cite

CITATION STYLE

APA

Ahmed, M., Horst, O. M., Obaied, A., Steinbach, I., & Roslyakova, I. (2021). Automated image analysis for quantification of materials microstructure evolution. Modelling and Simulation in Materials Science and Engineering, 29(5). https://doi.org/10.1088/1361-651X/abfd1a

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free