Hestia: Automated Derivation of a Rocket Engine
Overview
Hestia is a computational framework designed to automate the derivation and optimization of liquid rocket engine parameters. By integrating first-principles thermodynamic models with modern optimization algorithms, Hestia generates high-fidelity engine geometries tailored to specific mission requirements.
Technical Details
- Optimization: Multi-objective genetic algorithms for thrust-to-weight optimization.
- Modeling: Equilibrium chemistry solver for combustion performance prediction.
- Automation: Programmatic generation of nozzle and combustion chamber CAD profiles.
- Stack: Python (SciPy, NumPy), OnShape API for CAD integration.