Using Digital Image Correlation (DIC) in MATLAB Monitoring Number and Size of Speckle Granules

Authors

  • Siripon Kaoroptham Department of Industrial Technology and Innovation Management, Faculty of Science and Technology, Pathum Wan Institute of Technology, Pathum Wan 10330, Thailand
  • Rittipol Chantarat Department of Mechanical Engineering, Faculty of Engineering, Rajamangala University of Technology Rattanakosin, Nakhonprathom 73170, Thailand
  • Prapot Kunthong Department of Mechanical Engineering, Faculty of Engineering, Kasetsart University, Bangkok 10900, Thailand

Keywords:

Displacement DIC, Poisson’s ratio DIC, Young’s modulus DIC

Abstract

This research aims to study the effect of changing the number and size of speckle granules to compare the result of the material properties between using the Digital Image Correction method (DIC) in MATLAB and the standard average of material properties. This research used stainless steel - grade 304 (UNS S30400) by testing 3 sets of experiments with an unequal number and size of speckle granules in each test to compare the effect of the number and size of speckle granules in calculations using Digital Image Correlation (DIC). The results show that the errors of changing the number of speckle granules from Digital Image Correlation (DIC) in Young’s Modulus (𝑬) around 0.017238407-0.063998425% and Poisson’s ratio (𝝑) around 0.072674419-1.251840943% and the errors of changing the size of speckle granules from Digital Image Correlation (DIC) in Young’s Modulus (𝑬) around 0.030729470-0.316238141% and Poisson’s ratio (𝝑) around 0.069043207-0.531703259%.

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Published

2024-06-25

How to Cite

Siripon Kaoroptham, Rittipol Chantarat, & Prapot Kunthong. (2024). Using Digital Image Correlation (DIC) in MATLAB Monitoring Number and Size of Speckle Granules. Science & Technology Asia, 29(2), 63–73. Retrieved from https://ph02.tci-thaijo.org/index.php/SciTechAsia/article/view/254648

Issue

Vol.29 No.2 (April-June 2024)

Section

Articles

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