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The Frequency Domain Thermoreflectance Technique for Thermal Property Measurements
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Fast Thermal Monitoring of Pulsed Laser Cleaning Processes.

Emiliia Saprykina1, Jiří Martan1,2, Denys Moskal2

  • 1Department of Machining Technology, Faculty of Mechanical Engineering, University of West Bohemia in Pilsen, Univerzitni 8, 301 00 Pilsen, Czech Republic.

Micromachines
|June 26, 2026
PubMed
Summary

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This study explored using infrared (IR) thermal diagnostics to monitor laser metal cleaning. Real-time temperature data can help develop automated laser cleaning systems by evaluating surface conditions.

Area of Science:

  • Materials Science
  • Manufacturing Engineering
  • Laser Technology

Background:

  • Manual laser cleaning demands skilled operators for efficiency.
  • Developing automated laser cleaning systems requires real-time process monitoring.

Purpose of the Study:

  • Investigate the feasibility of measuring thermal processes during laser metal cleaning.
  • Support the development of an automated and intelligent laser cleaning system.

Main Methods:

  • Utilized fast infrared (IR) diagnostics for thermal process measurement.
  • Employed a field-programmable gate array (FPGA) for rapid signal analysis.
  • Monitored real-time thermal response for each laser pulse on various steel substrates.

Main Results:

Keywords:
infrared thermal diagnosticslaser cleaninglaser–material interactionprocess monitoring

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  • Differentiated thermal responses for paint, scale, and corrosion on steel surfaces.
  • Observed distinct thermal plateaus for steel above the ablation threshold.
  • Identified longer time intervals and higher heat accumulation on scaled surfaces.

Conclusions:

  • IR thermal diagnostics show potential for evaluating surface conditions during laser cleaning.
  • Real-time thermal data can optimize, monitor, and control automated laser cleaning processes.
  • Statistical analysis of thermal data provides insights into hidden cleaning processes.