Evaluation of Local Plastic Flow in the Vicinity of Indentation by the Means of DIC Applied on SEM Micrographs

2013 ◽  
Vol 586 ◽  
pp. 257-260
Author(s):  
Jaroslav Valach ◽  
Daniel Kytýř ◽  
Nela Fenclová ◽  
Petr Koudelka ◽  
Tomáš Doktor ◽  
...  
Keyword(s):  
Electron Microscope ◽  
Digital Image Correlation ◽  
Scanning Electron Microscope ◽  
Plastic Flow ◽  
Digital Image ◽  
Internal Surface ◽  
Steel Specimen ◽  
Image Correlation ◽  
Sem Images ◽  
Scanning Electron

The paper presents application on digital image correlation (DIC) and microindentation for investigation of plastic flow under Brinell ball indenter applied on steel specimen made of two parts screwed together. Specimens in two different material states (a) as delivered (b) annealed were investigated. This approach enables internal surface to act as the external one and to be examined by aforementioned methods. Results obtained by application of DIC on scanning electron microscope (SEM) images are compared to microhardness maps and agreement is demonstrated.

scholarly journals Digital Analysis of Geo-Referenced Concrete Scanning Electron Microscope (SEM) Images

2020 ◽  
Vol 30 (2) ◽  
pp. 65-79
Author(s):  
Mohd Sanusi S. Ahamad ◽  
Elly Nur Myaisara Maizul
Keyword(s):  
Image Analysis ◽  
Electron Microscope ◽  
Scanning Electron Microscope ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Crack Density ◽  
Noise Removal ◽  
Cementitious Materials ◽  
Sem Images ◽  
Scanning Electron

AbstractThe microstructural evaluation of complex cementitious materials has been made possible by the microscopic imaging tools such as Scanning Electron Microscope (SEM) and X-Ray Microanalysis. Particularly, the application of concrete SEM imaging and digital image analysis have become common in the analysis and mapping of concrete technology. In this study, six samples of two-dimensional (2D) SEM images were spatially resampled to produce Geo-referenced SEM sample images. Subsequently, they were analyzed and the intensity histogram plot was produced to facilitate visual interpretation. The consecutive digital image analysis performed was the enhancement and noise removal process using two filtering methods i.e. median and adaptive box filter. The filtered resampled images, then undergone the unsupervised K-Means classification process to collectively separate each individual pixel corresponds to the spectral data. By spatial segmentation of K-Means algorithms, the cluster groups generated were carefully reviewed before proceeding to the final analysis. From the resulting data, the mapping of the spatial distribution of k-cluster and the quantification of micro-cracks (voids) were performed. The results of the SEM images (1st - 4th sample) showed a higher percentage of k-cluster data indicating a good correlation with the major elemental composition of EDX analysis, namely Oxide (O), Silicon (Si) and Carbon (C). Meanwhile, the subjective visual assessment of the image (5th and 6th sample) has confirmed the micro-crack developments on the concrete SEM images upon which the crack density was 3.02 % and 1.30 %, respectively.

Sign in / Sign up

Export Citation Format

Share Document