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Pogo instability in liquid propulsion rockets is analyzed numerically, and a pogo accumulator is installed to mitigate the effect. In order to optimize the pogo accumulator for optimal performance, multi-physics of liquid propulsion rockets and artificial neural networks are applied. The optimization process finds the lowest-resonance expected design for the pogo accumulator.

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This page is a summary of: Pogo Accumulator Optimization Based on Multiphysics of Liquid Rockets and Neural Networks, Journal of Spacecraft and Rockets, July 2020, American Institute of Aeronautics and Astronautics (AIAA),
DOI: 10.2514/1.a34769.
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