Uncertainty Quantification of High-Enthalpy Calorimeters

Aidan Sengupta, Missouri University of Science and Technology

Advisor: Davide Vigano, dvigano@mst.edu

Description

This project uses Monte Carlo simulations and sensitivity analysis to quantify uncertainties in calorimeter measurements during high-enthalpy testing. By automating thermal simulations in ANSYS with Python, thousands of test cases can be run to determine which design parameters most impact heat flux accuracy. The results will help improve calorimeter reliability and provide better data interpretation for hypersonic aerospace testing.

This paper has been withdrawn.
 
Apr 1st, 1:30 PM Apr 1st, 3:30 PM

Uncertainty Quantification of High-Enthalpy Calorimeters

Havener Center, Miner Lounge / Wiese Atrium, 1:30pm-3:30pm

This project uses Monte Carlo simulations and sensitivity analysis to quantify uncertainties in calorimeter measurements during high-enthalpy testing. By automating thermal simulations in ANSYS with Python, thousands of test cases can be run to determine which design parameters most impact heat flux accuracy. The results will help improve calorimeter reliability and provide better data interpretation for hypersonic aerospace testing.