Loading...

Evaluation of the simulated material microstructures using the image processing and image analyzing methods

Hafez Haghighat, S. M ; Sharif University of Technology | 2006

234 Viewed
  1. Type of Document: Article
  2. DOI: 10.1520/jte100143
  3. Publisher: American Society for Testing and Materials , 2006
  4. Abstract:
  5. With the development of computing systems for data processing, the image processing and image analyzing methods have been developed on the basis of pixel assessment. These methods can analyze and detect the images by assigning a value for each pixel and using the matrices calculations. In the present research, two methods have been used to assess the simulated material microstructures. In the first method, the vertices of the microstructure are counted to determine accurately the mean grain size by the Euler's relationship, while in the second method, the image processing and image analyzing methods are utilized to assess the microstructure image. To verify the accuracies of the methods their results were compared with the experimental results achieved using the standard Heyn intercept method. It was found that in comparison with the common grain size measurement, the image processing method presents a higher accuracy compared with the Eulers's relationship. More information about the microstructure properties such as the mean grain size and the size of the largest grain in the presence of second phase particles are evaluated. Copyright © 2006 by ASTM International
  6. Keywords:
  7. Grain size and shape ; Image analysis ; Information retrieval ; Matrix algebra ; Microstructure ; Grain size measurement ; Heyn intercept methods ; Pixels ; Simulated microstructure ; Materials science
  8. Source: Journal of Testing and Evaluation ; Volume 34, Issue 6 , 2006 , Pages 507-514 ; 00903973 (ISSN)
  9. URL: https://www.astm.org/DIGITAL_LIBRARY/JOURNALS/TESTEVAL/PAGES/JTE100143.htm