To ensure long-term reliability in high-temperature aerospace environments, the effectiveness of Thermal Barrier Coatings (TBCs) is evaluated through a combination of thermal, mechanical, and microstructural testing methods. These inspections are performed after manufacturing processes such as TBC application and may follow post-processes like superalloy CNC machining or hot isostatic pressing (HIP). The main objective is to confirm coating adhesion, resistance to thermal fatigue, oxidation behavior, and bond-coat stability under real engine conditions.
Thermal cycling tests expose coated components to rapid heating and cooling to simulate engine startup and shutdown. This evaluates resistance to crack formation and spallation. High-cycle and low-cycle fatigue tests simulate stress variations experienced in turbine blades made via single crystal casting. Resistance to coating delamination and crack propagation is critical for determining usable service life.
TBCs are exposed to corrosive combustion gases to evaluate protective layer stability. Testing simulates aggressive environments found in oil and gas and power generation turbines. Weight gain analysis and microstructural observation are used to assess oxide scale formation and bond-coat depletion.
Adhesion strength testing verifies bonding between ceramic top coat and metallic bond coat. Mechanical pull tests and scratch tests are commonly used. When TBC is applied to directionally solidified alloys using superalloy directional casting, bond coat reliability becomes critical since thermal gradients concentrate near grain boundaries. Microscopy and cross-section analysis confirm coating thickness uniformity and crack resistance.
Non-destructive material testing and analysis is used to inspect coating quality without damaging the component. X-ray imaging, CT scanning, ultrasonic inspection, and thermography detect delamination, voids, and subsurface cracking. These techniques ensure TBC stability before and after simulated engine cycles, allowing aerospace operators to predict maintenance intervals and set retirement limits.