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Meeting Materials Science & Technology 2019
Symposium Applications of Modern Characterization Techniques to Ferrous Alloys and Steel Products
Presentation Title Applications of Machine Learning In Microscopy for Routine Assessment and Quality Assurance in Ferrous Alloy Production, Manufacturing and Service
Author(s) Roger Barnett, Alisa Stratulat
On-Site Speaker (Planned) Roger Barnett
Abstract Scope All quantitative micrograph analyses involve some segmentation - dividing images into regions. E.g. segmenting grain from grain boundary to then determine grain size. This typically involves intensity thresholding with binary operation post-processing but may be difficult or time consuming. We demonstrate a new approach for routine analysis using machine learning. A user labels small regions and then a feature vector is created for each pixel, using Gaussian, Sobel, Gabor, mean and Hessian filters plus intensity values. Using these feature vectors a “forest of random decision trees” approach is used to create a classifier which best recovers the training labels. This classifier is applied to segment the entire image, making subsequent quantitative analysis much faster and more straightforward. We present several industrial examples using this approach for faster routine analysis of metal micrographs including automated recognition of phases, grain boundaries, layers and phases in different steel and ferrous alloys.
Proceedings Inclusion? Definite: At-meeting proceedings


An Improved Method for Characterization of Inclusions in Steels with X-ray Diffraction
Analysis of Hardening Mechanisms in a Low-carbon Steel by Microscopy-spectroscopy and Nanoindentation Techniques
Analysis of Sigma Formation Mechanisms in Aged Hyper Duplex Stainless Steel
Applications of Machine Learning In Microscopy for Routine Assessment and Quality Assurance in Ferrous Alloy Production, Manufacturing and Service
Elevated Temperature Mechanical Property-Microstructure Relationships of X70 Pipeline Steels
Microstructural and Physicochemical Properties of Iron-cerium Alloy
Neutron Scattering Characterization of Steel Alloys
Quantitative Analysis of Heterogeneous Solute Segregation at Austenite Grain Boundary or Austenite / Ferrite Interphase Boundaries ~ Three Dimensional Atom Probe Analysis Complemented with Austenite Reconstruction Method ~
Quantitative Analysis of Inconel 718 by SEM/EDS – Challenges and Possible Solutions
Synchrotron Radiation X-ray Diffraction Studies of Carbide Evolution in Fe-Mn-Al-C Steel
The Reduction Performance of the Ca2 (Fe2-xAlx) O5 Solid Solution
Tracing Competitive Segregation Effects in Boron Containing Micro-alloyed Steels
Tracking Down Niobium Precipitation in HSLA Steels at the Atomic Level

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