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Monte Carlo Uncertainty Analysis for Photothermal Radiometry Measurements Using a Curve Fit Process
Utah Space Grant Consortium
  • Kyle Horne
  • Austin Fleming
  • Heng Ban, Utah State University - Faculty Advisor
Location
Salt Lake Community College Student Center
Start Date
6-5-2013 1:45 PM
Description

Photothermal Radiometry (PTR) has become a popular method to measure thermal properties of layered materials. Much research has been done to determine the capabilities of PTR, but with little uncertainty analysis. This study performs a Monte Carlo uncertainty analysis to quantify uncertainty of film diffusivity and effusivity measurements, presents a sensitivity study for each input parameter, compares linear and logarithmic spacing of data points on frequency scans, and investigates the validity of a 1-D heat transfer assumption.

Citation Information
Kyle Horne, Austin Fleming and Heng Ban. "Monte Carlo Uncertainty Analysis for Photothermal Radiometry Measurements Using a Curve Fit Process" (2013)
Available at: http://works.bepress.com/heng-ban/24/