Quantitative detection of thermal barrier coating parameters based on electromagnetic/capacitive dual modality sensor

Area of Science:

• Materials Science
• Aerospace Engineering
• Non-Destructive Testing

Background:

• Turbine engines operate at high temperatures, necessitating thermal barrier coatings (TBCs) for protection.
• TBCs, comprising a top coating (TC) and bond coating (BC), are susceptible to failures like sintering and thinning under harsh conditions.
• Failure in TBCs poses significant risks to aircraft safety.

Purpose of the Study:

• To develop a quantitative detection method for critical TBC parameters.
• To assess the effectiveness of an electromagnetic/capacitive dual modality sensor for TBC analysis.
• To improve the reliability and safety of turbine engines through accurate TBC monitoring.

Main Methods:

• Utilized an electromagnetic/capacitive dual modality sensor for TBC parameter measurement.
• Employed a measurement grid algorithm for inverse analysis of TC thickness and BC conductivity.
• Developed an analytical method for inverse analysis of TC relative permittivity.

Main Results:

• Successfully achieved quantitative detection of TBC parameters.
• The measurement grid algorithm accurately inverted TC thickness and BC conductivity.
• The analytical method effectively inverted TC relative permittivity.
• Experimental results demonstrated inversion errors below 4% for all measured parameters.

Conclusions:

• The dual modality sensor and proposed analytical methods provide accurate TBC parameter detection.
• The achieved accuracy meets industrial requirements for TBC monitoring.
• This technology enhances the safety and reliability of turbine engines by enabling early detection of TBC degradation.