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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography
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Subsurface Defect Localization by Structured Heating Using Laser Projected Photothermal Thermography

Published on: May 15, 2017

Target temperature distribution generated and maintained by a scanning laser beam.

M S Scholl1

  • 1Sperry Flight Systems, 21111 North 19th Avenue, Phoenix, Ariz. 85027, USA.

Applied Optics
|April 17, 2010
PubMed
Summary
This summary is machine-generated.

This study models laser scanning on surfaces, calculating temperature changes from absorbed energy. It analyzes how scanning speed and material properties affect surface heating over time.

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Area of Science:

  • Physics
  • Materials Science
  • Thermal Engineering

Background:

  • Laser-material interactions are crucial for various applications.
  • Understanding surface temperature dynamics is key to controlling processes like ablation and annealing.
  • Rapid laser scanning introduces complex thermal gradients.

Purpose of the Study:

  • To calculate the temperature distribution on a target surface irradiated by a rapidly scanning laser beam.
  • To investigate the relationship between absorbed energy, surface temperature increase, and time.
  • To identify key scanning and target material parameters influencing thermal response.

Main Methods:

  • Development of a computational model for heat transfer analysis.
  • Simulation of energy absorption in a thin surface layer.
  • Mathematical calculation of temperature increase as a function of time.

Main Results:

  • The model quantifies surface temperature rise due to laser energy absorption.
  • Temperature increase is shown to be dependent on scanning speed and material properties.
  • Calculations provide insights into transient thermal behavior during laser processing.

Conclusions:

  • Rapid laser scanning induces significant surface temperature changes.
  • Material thermal properties and scanning parameters are critical determinants of heating.
  • The presented calculations offer a framework for predicting and optimizing laser-surface interactions.