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Four-Wavelength Thermal Imaging for High-Energy-Density Industrial Processes.

Alexey Bykov1,2, Anastasia Zolotukhina1,2, Mikhail Poliakov1

  • 1Scientific and Technological Centre of Unique Instrumentation, Russian Academy of Sciences, 15 Butlerova, 117342 Moscow, Russia.

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This study introduces a cost-effective multispectral imaging system for thermal mapping. The developed method accurately estimates temperature distributions with a 1% error, enabling visualization of thermal variations.

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additive manufacturingcamera calibrationhigh-energy density beam advanced machiningin situ monitoringmultispectral cameranon-destructive evaluationspectral imagingthermal imaging

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Area of Science:

  • Optics and Photonics
  • Thermal Engineering
  • Image Processing

Background:

  • Multispectral imaging offers advanced thermal analysis capabilities.
  • Scanning-free 2D spectral data acquisition is a key advantage.
  • Accurate temperature mapping requires robust data correction and calibration.

Purpose of the Study:

  • To develop a basic design and temperature estimation method for a four-channel multispectral imaging system.
  • To establish a workflow for data correction and processing in thermal imaging.
  • To validate the system's accuracy and demonstrate its practical application.

Main Methods:

  • Designed a four-channel multispectral imaging system.
  • Implemented camera calibration for optical element and sensor property compensation.
  • Developed a data correction and processing workflow.
  • Validated the temperature estimation method using a blackbody source.

Main Results:

  • Achieved a mean relative temperature error of 1% when validated with a blackbody source.
  • Successfully demonstrated temperature mapping of a tungsten lamp filament.
  • Visualized non-uniform temperature distributions and localized deviations with adequate spatial resolution.

Conclusions:

  • The developed multispectral imaging system provides an accessible and accurate method for thermal mapping.
  • The system effectively detects and visualizes thermal variations in practical applications.
  • This technology holds promise for various thermal imaging applications requiring detailed temperature analysis.