TY - GEN
T1 - Towards 4D Emission Tomography of Reacting Waves
AU - Singh, Amit K.
AU - Molnar, Joseph P.
AU - Gomez, Mateo
AU - Fievisohn, Robert T.
AU - Grauer, Samuel J.
N1 - Publisher Copyright:
© 2025, American Institute of Aeronautics and Astronautics Inc, AIAA. All rights reserved.
PY - 2025
Y1 - 2025
N2 - We present a method for time-resolved, volumetric chemiluminescence tomography developed to characterize detonation waves. The intricate 3D structure of self-sustaining gaseous detonations presents significant challenges for numerical prediction, complicating the design of detonation-based engines. High-fidelity experimental measurements that resolve the internal density and heat release structures of detonation waves in curved domains are essential for understanding their dynamics and validating computational models. Chemiluminescence tomography offers a promising solution, but ultra-high-speed imaging constraints limit the number of projections, resulting in an underdetermined reconstruction problem. To address this, we developed an algorithm based on the neural-implicit reconstruction technique (NIRT) that can leverage temporal information and incorporates a physics-based observation operator to account for depth-of-field and refraction effects. These innovations enhance the accuracy and applicability of chemiluminescence tomography for studying complex reacting flows, such as those in detonation waves. Synthetic demonstrations are reported for a turbulent premixed methane/air flame.
AB - We present a method for time-resolved, volumetric chemiluminescence tomography developed to characterize detonation waves. The intricate 3D structure of self-sustaining gaseous detonations presents significant challenges for numerical prediction, complicating the design of detonation-based engines. High-fidelity experimental measurements that resolve the internal density and heat release structures of detonation waves in curved domains are essential for understanding their dynamics and validating computational models. Chemiluminescence tomography offers a promising solution, but ultra-high-speed imaging constraints limit the number of projections, resulting in an underdetermined reconstruction problem. To address this, we developed an algorithm based on the neural-implicit reconstruction technique (NIRT) that can leverage temporal information and incorporates a physics-based observation operator to account for depth-of-field and refraction effects. These innovations enhance the accuracy and applicability of chemiluminescence tomography for studying complex reacting flows, such as those in detonation waves. Synthetic demonstrations are reported for a turbulent premixed methane/air flame.
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U2 - 10.2514/6.2025-1056
DO - 10.2514/6.2025-1056
M3 - Conference contribution
AN - SCOPUS:105001357755
SN - 9781624107238
T3 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025
BT - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2025
Y2 - 6 January 2025 through 10 January 2025
ER -