Uncertainty Quantification of High-Enthalpy Calorimeters
Location
Havener Center, Miner Lounge / Wiese Atrium, 1:30pm-3:30pm
Start Date
4-1-2026 1:30 PM
End Date
4-1-2026 3:30 PM
Presentation Date
April 1, 2026; 1:30pm-3:30pm
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.
Biography
Aidan Sengupta is a senior in Aerospace Engineering at Missouri University of Science and Technology, graduating in May 2026. With a strong interest in supersonic flow and advanced UAV technologies, he bridges hands-on experimentation with computational research. Aidan serves as an ANSYS Student Ambassador and Composites Sub-Lead for the Multirotor Design Team, and is an active member of the Missouri S&T Honors Program. Since joining Dr. Viganò's Aerodynamics Research Lab in Fall 2024, he has focused on uncertainty quantification for high-enthalpy slug calorimeters, leveraging Monte Carlo simulations and sensitivity analysis to improve measurement reliability in hypersonic testing environments.
Meeting Name
2026 - Miners Solving for Tomorrow Research Conference
Department(s)
Mechanical and Aerospace Engineering
Document Type
Poster
Document Version
Final Version
File Type
event
Language(s)
English
Rights
© 2026 The Authors, All rights reserved
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.
Comments
Advisor: Davide Vigano, dvigano@mst.edu