Characterization of Coating using IR and THz
Tracks
NDT Methods
| Wednesday, October 23, 2024 |
| 3:30 PM - 4:00 PM |
| 209/210 - Technical Session |
Details
Coatings are employed for several application to provide differential performance properties of the surface when compared to the bulk material. The coatings need to be characterised in terms of material properties and thickness after fabrication as well as during in-service. In this presentation, an overview of the IR and THz activities at CNDE@IITM will be provided with detailed view on two case studies on coating characterisation.
The first case study is the characterisation of the Thermal Barrier Coatings used in aeroengine components to provide material stability at elevated temperatures. The metal substates are usually coated with bond-coat and stabilized ceramic coatings up to 250 microns. The physical wear and tear as well as the thermal cycling will lead to the deterioration of the coatings. The work will focus on developing finite element models for the study of the interaction of flash thermography and the coating properties. The use of simulation assisted inverse Artificial Intelligence (AI) models allows for the rapid and robust evaluation of the coating degradation. The results will primarily focus on IR modalities with THz for additional validation.
The second case study will focus on radar absorbing coatings for aerostructures. Here, the use of THz for measuring the thickness of these coating will be discussed. The absorption of the high frequency THz waves is a challenge that is overcome by using deeper understanding of the interactions between the EM waves with the coatings and also using deconvolution algorithms. A data fusion approach to combine the two modalities will also be described.
Speaker
Krishnan Balasubramanian
Professor
Indian Institute Of Technology Madras
Characterization of Coating using IR and THz
Presentation Description
Coatings are employed for several application to provide differential performance properties of the surface when compared to the bulk material. The coatings need to be characterised in terms of material properties and thickness after fabrication as well as during in-service. In this presentation, an overview of the IR and THz activities at CNDE@IITM will be provided with detailed view on two case studies on coating characterisation.
The first case study is the characterisation of the Thermal Barrier Coatings used in aeroengine components to provide material stability at elevated temperatures. The metal substates are usually coated with bond-coat and stabilized ceramic coatings up to 250 microns. The physical wear and tear as well as the thermal cycling will lead to the deterioration of the coatings. The work will focus on developing finite element models for the study of the interaction of flash thermography and the coating properties. The use of simulation assisted inverse Artificial Intelligence (AI) models allows for the rapid and robust evaluation of the coating degradation. The results will primarily focus on IR modalities with THz for additional validation.
The second case study will focus on radar absorbing coatings for aerostructures. Here, the use of THz for measuring the thickness of these coating will be discussed. The absorption of the high frequency THz waves is a challenge that is overcome by using deeper understanding of the interactions between the EM waves with the coatings and also using deconvolution algorithms. A data fusion approach to combine the two modalities will also be described.
The first case study is the characterisation of the Thermal Barrier Coatings used in aeroengine components to provide material stability at elevated temperatures. The metal substates are usually coated with bond-coat and stabilized ceramic coatings up to 250 microns. The physical wear and tear as well as the thermal cycling will lead to the deterioration of the coatings. The work will focus on developing finite element models for the study of the interaction of flash thermography and the coating properties. The use of simulation assisted inverse Artificial Intelligence (AI) models allows for the rapid and robust evaluation of the coating degradation. The results will primarily focus on IR modalities with THz for additional validation.
The second case study will focus on radar absorbing coatings for aerostructures. Here, the use of THz for measuring the thickness of these coating will be discussed. The absorption of the high frequency THz waves is a challenge that is overcome by using deeper understanding of the interactions between the EM waves with the coatings and also using deconvolution algorithms. A data fusion approach to combine the two modalities will also be described.
Biography
Prof. Krishnan Balasubramaniam is currently the Institute Professor at the Indian Institute of Technology Madras and serves as the Head of the Centre for Nondestructive Evaluation which he founded in 2001. He is also the PRESIDENT of ISNT. He has over 530 technical publications (including 290 refereed journal papers), 46 patents filings and has directed 29 PHD student dissertations and 55 MS student theses. He has been the founding team member of several startups including Dhvani Research, Playns Technologies, Detect Technologies, Maximl Labs, Xyma Analytics and Solinas Integrity.
