TY - GEN
T1 - In-Situ Extraction of Modeling Parameters and Mechanics for Parachute Textiles Under Radial Stress with Micro-Tomography and Machine Learning
AU - Phillippe, Cutler A.
AU - Villafañe Roca, Laura
AU - Panerai, Francesco
N1 - Publisher Copyright:
© 2024 by Cutler Phillippe, Laura Villafane Roca, Francesco Panerai.
PY - 2024
Y1 - 2024
N2 - This study addresses the lack of experimental methods for extracting high-fidelity experimental data for benchmarking fluid structure interaction (FSI) models used in simulating parachutes for planetary landing systems. Results from in-situ micro-CT imaging of parachute textiles under loaded conditions using a 2D tensile tester and in-house analysis pipeline are presented. The focus of this work is on the MIL-C-7020H Type III parachute textile. The images are processed to track the locations and dimensions of individual tows within the scanned region. This allows for reconstruction and monitoring of the micro-scale properties of each tow, principle strains, and flow regime parameters influenced by pore size. Captured are both the 2D projected and 3D behaviors of the materials to meet the diverse and evolving needs of FSI simulation models.
AB - This study addresses the lack of experimental methods for extracting high-fidelity experimental data for benchmarking fluid structure interaction (FSI) models used in simulating parachutes for planetary landing systems. Results from in-situ micro-CT imaging of parachute textiles under loaded conditions using a 2D tensile tester and in-house analysis pipeline are presented. The focus of this work is on the MIL-C-7020H Type III parachute textile. The images are processed to track the locations and dimensions of individual tows within the scanned region. This allows for reconstruction and monitoring of the micro-scale properties of each tow, principle strains, and flow regime parameters influenced by pore size. Captured are both the 2D projected and 3D behaviors of the materials to meet the diverse and evolving needs of FSI simulation models.
UR - http://www.scopus.com/inward/record.url?scp=85193823293&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85193823293&partnerID=8YFLogxK
U2 - 10.2514/6.2024-1003
DO - 10.2514/6.2024-1003
M3 - Conference contribution
AN - SCOPUS:85193823293
SN - 9781624107115
T3 - AIAA SciTech Forum and Exposition, 2024
BT - AIAA SciTech Forum and Exposition, 2024
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA SciTech Forum and Exposition, 2024
Y2 - 8 January 2024 through 12 January 2024
ER -