Method for the Detection of Grain Boundaries in alpha Ti-Based Alloys by means of Polarized Light Microscopy and Image Processing in MATLAB Articles uri icon

authors

publication date

  • October 2018

start page

  • 678

end page

  • 692

issue

  • 10

volume

  • 55

International Standard Serial Number (ISSN)

  • 0032-678X

abstract

  • Metallographic methods which are typically comprising chemical etching processes are applied to reveal grain boundaries in sections of metallic materials. In the case of an optically anisotropic material, grain boundaries can also be detected suing polarized light microscopy (PLM). To this end, the identification of grain boundaries, an automated image processing procedure, based on PLM, was developed. In this context, two different a Ti-based alloys were examined: a cast, non-porous rod material and a material obtained by powder metallurgy which, owing to its high porosity, places specific demands on the image processing system. The present work outlines the underlying metallographic and computer-based methods.Metallographic methods which are typically comprising chemical etching processes are applied to reveal grain boundaries in sections of metallic materials. In the case of an optically anisotropic material, grain boundaries can also be detected suing polarized light microscopy (PLM). To this end, the identification of grain boundaries, an automated image processing procedure, based on PLM, was developed. In this context, two different a Ti-based alloys were examined: a cast, non-porous rod material and a material obtained by powder metallurgy which, owing to its high porosity, places specific demands on the image processing system. The present work outlines the underlying metallographic and computer-based methods.