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Fracture Surface Analysis of Dual-Phase Steel
CSE 8803 – Materials Informatics Karla Wagner November 20, 2017
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Goals: Objective Review
Failure mechanisms of DP980 are significant to automobile industry No coating (NC) vs Galvannealed (GAN) DP980 Steels Tested at distinct strain rates Range over 7 orders of magnitude Goals: P-S linkage between microstructure, strain rate, and fracture mechanisms f (ms, ) = fracture surfaces
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Proposed Work Segment Fracture Surfaces Quantify Fracture Surfaces
Number and size distribution of various fracture features Area fractions of all fracture features Quantify Fracture Surfaces 2-pt Statistics PCA Model Building Create model for process-structure linkage Inputs: Original microstructure & strain rate Output: Fracture surface statistics
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Fracture Surface Segmentation
Experimental data – must be segmented Feature definitions based on hand calculations Some challenges: 4 “phases” – fracture features Variance from image to image Methods Used Filters Thresholding Image closing and opening Edge detection Superpixels Further Improvements Customize code for each set of images
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Segmentation Results All provided images segmented Area fractions of features calculated Further improvements can only improve any modelling efforts Dimples Brittle Facets Bands Pullouts Fully Segmented Image Original Image
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2 mm HD - Pullouts
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Pullout Segmentation NC 2500 NC 500 NC 0.01 NC
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2-Point Statistics - Autocorrelations
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PCA Results May change based on segmentation improvements May separate GAN and NC – dependent on model creation
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PCA
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PCA
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Explained Variance
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Basis Vectors
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Improvements on segmentation
Next Steps Improvements on segmentation Customize segmentation code to images & image sets for accuracy Iterate PCA if necessary Include the rest of the GAN images Possibly use these to validate model Process-structure linkage Regression based model(s)
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Questions?
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Band Segmentation
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Pullout Segmentation
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Brittle Facet Segmentation
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Segmentation Results
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