Image Based Analysis of Complex Microstructures of Engineering Materials

Wejrzanowski, Tomasz; Spychalski, Wojciech; Rożniatowski, K.; Kurzydłowski, Krzysztof J.

doi:10.2478/v10006-008-0003-1

Cited by 97 publications

(61 citation statements)

References 6 publications

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“…The amount of blocks of residual austenite was determined basing on the SEM observations under two magnifications: ×2500 and ×5000, using the MicroMeter software [12].…”

Section: Methodsmentioning

confidence: 99%

The Comparative Study of the Microstructure and Phase Composition of Nanoausferritic Ductile Iron Alloy Using SEM, TEM, Magnetometer, and X-Ray Diffraction Methods

et al. 2017

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In this paper the microstructure and phase composition of ausferritic ductile iron alloy were investigated by scanning electron microscopy, transmission electron microscopy and X-ray diffraction methods. In order to obtain the nanoausferritic microstructure in the alloy, the austempering heat treatment was performed at relatively low temperature. As a result, a specific kind of microstructure, containing nanocrystalline ausferrite and retained austenite blocks, was obtained in each heat-treated sample. The volume fractions of phases were determined using different methods: MicroMeter software for scanning electron micrographs, stereological analysis for transmission electron micrographs, quantitative analysis of the X-ray diffraction spectra and magnetometer measurements. All methods revealed a high amount of retained austenite which varied as a function of the austempering treatment parameters. It was shown that the quantitative phase composition measured by X-ray diffraction and magnetometer, in all samples investigated, differs significantly from the stereological measurements and image analysis performed through the MicroMeter software. The possible reasons of the observed differences were discussed.

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“…The amount of blocks of residual austenite was determined basing on the SEM observations under two magnifications: ×2500 and ×5000, using the MicroMeter software [12].…”

Section: Methodsmentioning

confidence: 99%

The Comparative Study of the Microstructure and Phase Composition of Nanoausferritic Ductile Iron Alloy Using SEM, TEM, Magnetometer, and X-Ray Diffraction Methods

et al. 2017

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“…The combined surface areas of photographs were 1.035 mm 2 . The photos were further analyzed by a MicroMeter image analyzing software [41].…”

Section: Investigation Methodsmentioning

confidence: 99%

Corrosion resistance of model ultrafine-grained Al–Li alloys produced by severe plastic deformation

et al. 2011

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The influence of grain boundaries and fine precipitation on the corrosion behavior was investigated in two model aluminum-lithium alloys, namely (in wt%) Al-1.6Li (lithium in a solid solution) and Al-2.3Li (lithium in the form of Al 3 Li precipitation), subjected to three different severe plastic deformation (SPD) treatments which refined the microstructure of the alloys to the ultrafine grain size. The SPD techniques used in the experiments were equal channel angular pressing (ECAP), hydrostatic extrusion (HE), and extrusion-torsion (ET). The corrosion behavior was examined using a potentiodynamic polarization test, electrochemical impedance spectroscopy, and an immersion test followed by a SEM surface analysis. The electrochemical tests were conducted in a 0.1 M Na 2 SO 4 solution added with 100 ppm of Cl -. The immersion tests (48 h) were performed in a 3.5% NaCl solution at room temperature. The results indicate that the pitting potential, pit number, and stability of the passive layer formed on the surface of the substrates undergo changes depending on the average grain size and the presence of precipitation or its lack. The corrosion resistance, examined in the solution mentioned above, appears to increase with decreasing average grain size. The ET method gave the microstructure with the lowest corrosion resistance.

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“…This paper concerns the porosity parameter considered as a fraction of voxels assigned to the pore regions with regard to the total number of voxels: V v = V p /V where: V v is the porosity, V p is the pore volume and V is the total volume of the sample. The structure of the phantom with directional anisotropy could be described by the same parameters, based on the stereology of materials (Wejrzanowski et al 2008). The mean values of calculated parameters used to describe the 3D internal structure of the phantom are shown in Table 2.…”

Section: Phantom Parametersmentioning

confidence: 99%

High-resolution computed microtomography for the characterization of a diffusion tensor imaging phantom

et al. 2017

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This paper addresses the issue of the quantitative characterization of the structure of the calibration model (phantom) for b-matrix spatial distribution diffusion tensor imaging (BSD-DTI) scanners. The aim of this study was to verify manufacturing assumptions of the structure of materials, since phantoms are used for BSD-DTI calibration directly after manufacturing. Visualization of the phantoms' structure was achieved through optical microscopy and high-resolution computed microtomography (lCT). Using lCT images, a numerical model of the materials structure was developed for further quantitative analysis. 3D image characterization was performed to determine crucial structural parameters of the phantom: porosity, uniformity and distribution of equivalent diameter of capillary bundles. Additionally calculations of hypothetical flow streamlines were also performed based on the numerical model that was developed. The results obtained in this study can be used in the calibration of DTI-BST measurements. However, it was found that the structure of the phantom exhibits flaws and discrepancies from the assumed geometry which might affect BSD-DTI calibration.

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Image Based Analysis of Complex Microstructures of Engineering Materials

Cited by 97 publications

References 6 publications

The Comparative Study of the Microstructure and Phase Composition of Nanoausferritic Ductile Iron Alloy Using SEM, TEM, Magnetometer, and X-Ray Diffraction Methods

The Comparative Study of the Microstructure and Phase Composition of Nanoausferritic Ductile Iron Alloy Using SEM, TEM, Magnetometer, and X-Ray Diffraction Methods

Corrosion resistance of model ultrafine-grained Al–Li alloys produced by severe plastic deformation

High-resolution computed microtomography for the characterization of a diffusion tensor imaging phantom

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