Analyzing Porosity in Thermal Barrier Coatings: Edge Detection of Images Using MATLAB
Author(s) -
Derrick Robinson,
Pallant Ramsundar,
Chandan B. Samantaray
Publication year - 2020
Publication title -
papers on engineering education repository (american society for engineering education)
Language(s) - English
Resource type - Conference proceedings
DOI - 10.18260/1-2--20076
Subject(s) - matlab , porosity , materials science , enhanced data rates for gsm evolution , computer science , thermal barrier coating , thermal , composite material , artificial intelligence , physics , coating , operating system , meteorology
Thermal spray has been widely used in aerospace and manufacturing industries for a variety of applications, especially for coating technology. The process-structure-property correlations to the coating technology are very important for achieving lifetime durability and sustainability. An important measure of coating integrity is the porosity of the surface structure. Traditionally porosity of the deposit is obtained by microscopy of the surface and the use of software based on grayscale threshold setting. This paper evaluates the grayscale threshold method using MATLAB for determining porosity on test images of a thermal barrier coating (TBC). Also, it is found that the porosity of test images can be assessed within 0.5% by the above method.
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