Surrogate Neural Network for Rapid Flight Performance Evaluation of Hybrid Rocket Engines
Author:
Affiliation:
1. University of Rome “La Sapienza”, 00184 Rome, Italy
Publisher
American Institute of Aeronautics and Astronautics (AIAA)
Subject
Space and Planetary Science,Aerospace Engineering
Link
https://arc.aiaa.org/doi/pdf/10.2514/1.A35369
Reference43 articles.
1. Optimal design of hybrid rocket motor powered vehicle for suborbital flight
2. A Straightfotward Approach for Robust Design of Hybrid Rocket Engine Upper Stage
3. A preliminary design code for hybrid propellant rockets
4. Optimization of hybrid-rocket-booster fuel-grain design
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