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Decreasing the uncertainty of classical laser flash analysis using numerical algorithms robust to noise and

Artem Lunev1, Robert Heymer1

  • 1United Kingdom Atomic Energy Authority (UKAEA), Culham Science Centre, Abingdon, Oxfordshire OX14 3DB, United Kingdom.

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Summary

This study introduces a computational framework to improve thermal property measurements using the laser flash method, enhancing accuracy even with noisy data. The open-source software offers a validated alternative to commercial instruments.

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Area of Science:

  • Materials Science
  • Thermal Analysis
  • Computational Physics

Background:

  • The laser flash method is versatile for thermal property measurement across wide temperature ranges and extreme environments.
  • Accurate thermal property determination is often hindered by measurement noise in the laser flash method.
  • Existing data treatment procedures lack guaranteed performance under noisy conditions.

Purpose of the Study:

  • To develop a robust computational framework for the laser flash method.
  • To enhance noise resilience in thermal property measurements.
  • To validate the computational method against experimental data and commercial instruments.

Main Methods:

  • Finite-difference solutions for heat conduction problems.
  • Nonlinear optimization techniques including quasi-Newton and stochastic linear search with Wolfe conditions.
  • Application to noisy experimental data and cross-verification with standard materials and instruments.

Main Results:

  • The computational framework effectively handles varying levels of measurement noise.
  • Validation confirms the accuracy and reliability of the developed method.
  • The open-source software demonstrates comparable or superior performance to industrial counterparts.

Conclusions:

  • The presented computational framework significantly improves the accuracy and noise resilience of the laser flash method.
  • The open-source software provides a validated and accessible tool for researchers.
  • This work advances the data treatment procedures for thermal property measurements.