Classification and Principles of Pipeline Curing Inspection Technology

Release date:

2025-07-31

By analyzing the distribution of the surface temperature field on the curing pipeline, the quality of the curing process can be assessed—this method is particularly suitable for materials like epoxy resins and polyurethane. When curing is uneven, differences in heat conduction create temperature variations, which can be detected with high precision using an infrared camera capable of identifying even 0.1°C differences (based on research data from *NDT&E International*, 2022). The primary advantage of this approach is its non-contact nature; however, it demands strict environmental temperature stability during the process.

　　1. Infrared Thermal Imaging Inspection
　　By analyzing the distribution of the surface temperature field on the curing pipeline, the quality of the curing process can be assessed—this method is particularly suitable for materials like epoxy resins and polyurethane. When curing is uneven, differences in heat conduction lead to temperature variations, which can be detected with high precision using an infrared camera capable of identifying even 0.1°C differences (based on research data from *NDT&E International*, 2022). The key advantage lies in its non-contact detection capability; however, it demands strict environmental temperature stability during the process.
　　2. Ultrasonic Pulse-Echo Method
　　Utilize the variation in the propagation speed of high-frequency sound waves through a material to assess its degree of cure. For instance, the speed of sound in incompletely cured epoxy resin is approximately 2.5 km/s, increasing to 3.0 km/s once fully cured (source: ASTM E494 standard). This method requires a coupling agent and is best suited for scenarios where the wall thickness of the material is ≤50 mm.
　　3. Electromagnetic Eddy Current Testing
　　For the inspection of curing status in metal pipeline lining anti-corrosion coatings, changes in eddy current impedance are used to reflect material conditions. The detection frequency typically ranges from 10 kHz to 1 MHz, with a resolution as high as ±2 μm (according to ISO 2178 standard).

Return to list