Temperature-Automated Calibration Methods for a Large-Area Blackbody Radiation Source

Area of Science:

• Metrology
• Thermal Engineering
• Optical Physics

Background:

• High-precision temperature control is crucial for blackbody calibration and thermal imaging.
• Large-area blackbodies require accurate temperature correction between radiating and sensor surfaces.
• Current manual calibration methods are inefficient and prone to errors.

Purpose of the Study:

• To develop an automated temperature calibration system for large-area blackbody radiation sources.
• To address the limitations of manual calibration in multi-channel systems.
• To enhance the accuracy and efficiency of blackbody calibration.

Main Methods:

• Determined optimal temperature measurement locations using a focusing algorithm with calibrated infrared thermometers.
• Employed a three-axis movement system to capture surface temperatures across different channels.
• Calculated temperature differences using a weighted algorithm for calibration parameter derivation.

Main Results:

• Reduced temperature measurement point consistency error by 85.4%.
• Improved surface source temperature uniformity by 40.4%.
• Decreased average temperature measurement deviation by 43.8% and calibration time by 9.82 times.
• Demonstrated adaptability for blackbody temperatures ranging from 100 K to 573 K.

Conclusions:

• The developed automated system significantly enhances the precision and efficiency of large-area blackbody calibration.
• The method offers robust environmental adaptability for a wide range of operating temperatures.
• This advancement is vital for accurate temperature calibration and thermal imaging correction.