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Radiometric thermometry of high temperature alloy surfaces incorporating emissivity variation constraints

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Proposed method enhances accuracy of temperature measurements in high-temperature alloys, suggesting effective emissivity correction.

The proposed method achieves a maximum temperature measurement error of only 0.3%, demonstrating remarkable precision.
Utilizing a ridge estimation model, the method incorporates emissivity variation constraints to enhance measurement accuracy.
Simulation and experimental validation indicate the developed algorithm's strong accuracy and stability in measuring high-temperature alloys.
The golden sine and whale optimisation algorithms work together to effectively correct emissivity variations in thermal measurements.

Chen et al. (2025) studied this question.

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