Computational framework for the design and optimization of multi-angle elastic scattering diagnostics in multiphase detonation experiments

Advancing our understanding of detonations is a key focus of combustion research, especially for emerging propulsion systems like rotating detonation engines. A key challenge is the extreme spatial and temporal scales, hindering reliable, high-resolution diagnostics. Non-intrusive laser-based techniques, such as elastic (Mie) scattering, show promise, but robust experimental design remains resource-intensive. We introduce a computational framework for simulating camera-based imaging of angular elastic light scattering from liquid fuel droplet clouds in multiphase detonations. The tool aids experimental design and optimization by reconstructing camera images and evaluating signal sensitivities to angular placement, incident light intensity and polarization, and droplet properties, including size, number density, and spatial and phase distribution. The framework models particles of arbitrary shape, composition, and orientation, capturing realistic droplet behavior in detonations. The current version focuses on single scattering in sparse clouds, with ongoing work on multiple scattering in denser media, for which preliminary results are presented. Limitations of the single-scattering assumption are explicitly discussed; nonetheless, the tool provides valuable insights for optimizing diagnostic system components and reducing experimental risks and resources.