Application of Image Processing to Track Twin Boundary Motion in Magnetic Shape Memory Alloys

Adrian Rothenbuhler, Elisa Barney Smith, Peter Mullner

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Materials scientists make use of image processing tools more and more as technology advances and the data volume that needs to be analyzed increases. We propose a method to optically measure magnetic eld induced strain (MFIS) as well as twin boundary movement in Ni2MnGa single crystal shape memory alloys to facilitate spatially resolved tracking of deformation. Current magneto-mechanical experiments used to measure MFIS can measure strain only in one direction and do not provide information about the movement of individual twin boundaries. A sequence of images captured from a high resolution camera is analyzed by a boundary detection algorithm to provide strain data in multiple directions. Subsequent motion detection and Hough feature extraction provide quantitative information about the location and movement of active twin boundaries.
Original languageAmerican English
Title of host publicationImage Processing
Subtitle of host publicationMachine Vision Applications V
Volume5
DOIs
StatePublished - 25 Jan 2012
EventIS&T/SPIE Electronic Imaging - Burlingame, United States
Duration: 1 Jan 2012 → …

Publication series

NameProceedings of SPIE
PublisherSPIE
Volume8300

Conference

ConferenceIS&T/SPIE Electronic Imaging
Country/TerritoryUnited States
CityBurlingame
Period1/01/12 → …

Keywords

  • motion detection
  • edge detection
  • Hough transformation
  • twin boundaries

EGS Disciplines

  • Electrical and Computer Engineering

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