1 Citation (Scopus)
50 Downloads (Pure)

Abstract

Titanium is a material that exhibits many desirable properties including a very high strength to weight ratio and corrosive resistance. However, the specific properties of any components depend upon the microstructure of the material, which varies by the manufacturing process. This means it is often necessary to analyse the microstructure when designing new processes or performing quality assurance on manufactured parts. For Ti6Al4V, grain size analysis is typically performed manually by expert material scientists as the complicated microstructure of the material means that, to the authors knowledge, no existing software reliably identifies the grain boundaries. This manual process is time consuming and offers low repeatability due to human error and subjectivity. In this paper, we propose a new, automated method to segment microstructural images of a Ti6Al4V alloy into its constituent grains and produce measurements. The results of applying this technique are evaluated by comparing the measurements obtained by different analysis methods. By using measurements from a complete manual segmentation as a benchmark we explore the reliability of the current manual estimations of grain size and contrast this with improvements offered by our approach.

Original languageEnglish
Article number012011
Number of pages6
JournalIOP Conference Series: Materials Science and Engineering
Volume179
Issue number1
DOIs
Publication statusPublished - 1 Mar 2017
Event4th International Conference Recent Trends in Structural Material - Hotel Angelo, Pilsen, Czech Republic
Duration: 9 Nov 201611 Nov 2016
https://www.comat.cz/en/

Keywords

  • titanium
  • alloys
  • digital image processing
  • microstructural images

Fingerprint Dive into the research topics of 'Automated microstructural analysis of titanium alloys using digital image processing'. Together they form a unique fingerprint.

Cite this