Temperature and deformation measurement for large-scale flat specimens based on image mosaic algorithms.

Area of Science:

• Engineering
• Materials Science
• Optical Measurement

Background:

• Synchronous measurement of temperature and deformation in large-scale flat specimens at high temperatures presents significant engineering challenges.
• Existing non-contact optical methods struggle with accuracy and scalability in demanding environments like open arc wind tunnels.

Purpose of the Study:

• To develop and validate a robust method for simultaneous, high-resolution temperature and deformation field measurement of large-scale flat specimens.
• To overcome the limitations of current techniques in high-temperature, open-air testing scenarios.

Main Methods:

• A multi-camera system employing digital image stitching for seamless image acquisition.
• An improved two-color method for accurate non-contact temperature measurement.
• Digital image correlation (DIC) for full-field displacement calculation on stitched images.

Main Results:

• Optimized digital image mosaic parameters were identified, ensuring high-quality image stitching.
• A stitching algorithm for full-field temperature measurement was successfully developed and validated.
• Full-field displacement was accurately calculated using DIC on the combined temperature and deformation data.

Conclusions:

• The proposed multi-camera system effectively enables synchronous measurement of temperature and deformation for large-scale flat specimens.
• This technique provides crucial guidance for high-spatial-resolution measurements in demanding engineering tests.
• The integrated approach enhances the feasibility of non-contact optical diagnostics in extreme environments.