Infrared thermal imaging detection method for thermal barrier anti-ablation coating defects

Abstract

The invention discloses an infrared thermal imaging detection method for thermal barrier anti-ablation coating defects, and belongs to the technical field of non-destructive testing. The method comprises the steps of sample preparation, sample detection, parameter determination and test piece detection. Through the technical solution, the infrared thermal imaging detection method can effectively carry out non-contact non-destructive testing on a thermal barrier anti-ablation coating structure and non-destructive testing on the thermal barrier anti-ablation coating defects, particularly solvesthe problem of quantitative detection of coating interface defects in a multilayer composite coating structure, and has the advantages of high operability and high detection efficiency.

Description

technical field [0001] The invention belongs to the technical field of non-destructive testing, and in particular relates to an infrared thermal imaging detection method for defects of a thermal barrier anti-ablation coating. Background technique [0002] Thermal barrier anti-ablation coatings are widely used in ship engines, gas turbines, aircraft fins, empennages, and rudder blades to protect the surface of components that work under harsh conditions such as high temperature and strong airflow. In order to ensure the safety and reliability of components, it is necessary to conduct non-destructive testing and evaluation of the quality status of the thermal barrier anti-ablation coating. [0003] At present, non-destructive testing and evaluation of the quality status of thermal barrier anti-ablation coatings are usually performed based on infrared thermal imaging non-destructive testing methods. In the non-destructive testing methods of infrared thermal imaging, it mainly ...

AI Technical Summary

Problems solved by technology

However, for different complex thermal barrier anti-ablation coating structures, especially multi-layer composite coating structures containing both metal and non-metal materials, traditional light thermal excitation imaging detection cannot effectively transfer heat to each layer of coating, At the same time, when the thermal conductivity characteristics of coating materials are quite different, the original thermal image sequence cannot be effectively collected and complete, and the quantitative detection and evaluation of coating quality cannot be realized.

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