Volume 24, Issue 12 (December 2024)
Modares Mechanical Engineering 2024, 24(12): 717-726 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Zarezadeh Mehrizi M A, Farahani M, Safarabadi M, Rezaee Hajideh M, Farhang M. Evaluating the Debonding Defect Detectability in Thermal Barrier Coatings (TBC) by Nondestructive Active Thermography Technique. Modares Mechanical Engineering 2024; 24 (12) :717-726
URL: http://mme.modares.ac.ir/article-15-76729-en.html
URL: http://mme.modares.ac.ir/article-15-76729-en.html
Mohammad Amin Zarezadeh Mehrizi1 
, Mohammadreza Farahani * 
2, Majid Safarabadi1 , Mojtaba Rezaee Hajideh1 , Majid Farhang1
, Mohammadreza Farahani * 2, Majid Safarabadi1 , Mojtaba Rezaee Hajideh1 , Majid Farhang1
1- University of Tehran
2- University of Tehran ,mrfarahani@ut.ac.ir
2- University of Tehran ,
Abstract: (243 Views)
In thermal barrier coatings (TBC), surface cracks, debonding, and thickness degradation may occur during the manufacturing process or life cycle, leading to poor performance and ultimately a dangerous system failure. The main goal of non-destructive testing of thermal barrier coatings is to detect these defects and determine the health of the coating. Various non-destructive inspection methods have been proposed to evaluate thermal barrier coatings, and due to the numerous advantages of thermography, including high speed, low cost, safety, no need for direct contact, automation capability, and inspection of a large area of the part, this method has received special attention from researchers. This study will present a method for manufacturing samples with different diameters of artificial separation defects. The following is the equipment's arrangement and the sample's thermography process. It was concluded that blackening the surface of the sample by increasing the amount of thermal energy absorption increased the ability to identify separation defects and increased the signal-to-noise ratio by 257%. Finally, by implementing different filters on the recorded raw thermal images, it has been shown that in both cases the best filter in terms of SNR is the median filter and then the Gaussian filter. The background removal filter also had no noticeable effect on increasing the signal-to-noise ratio and acted as a complement to the median and Gaussian filters by reducing the fixed error
Keywords: Thermal Barrier Coating, Active Thermography, Non-Destructive Inspection, Debonding Defects, Contrast Enhancement
Article Type: Original Research |
Subject:
Gas Turbine
Received: 2024/08/26 | Accepted: 2025/01/21 | Published: 2024/11/30
Received: 2024/08/26 | Accepted: 2025/01/21 | Published: 2024/11/30
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |