Lagrangian particle tracking for compressible CFD data. Quantifies tracer-inertia bias in supersonic PIV by tracking particles through PLOT3D flow fields under nine drag closures.
80 validated aerospace-engineering tools for Python, the CLI, and MCP agents: structures, aerodynamics, compressible flow, propulsion, orbital mechanics, ascent and recovery, optimization, and reliability. Every result is traceable to a published reference.
Lagrangian particle tracking for compressible CFD data. Quantifies tracer-inertia bias in supersonic PIV by tracking particles through PLOT3D flow fields under nine drag closures.
Lagrangian particle tracking for compressible CFD data. Quantifies tracer-inertia bias in supersonic PIV by tracking particles through PLOT3D flow fields under nine drag closures.
