Direct formulation and quantitative water-flow diagnostic for bi-propellant thruster performance

Chihiro Inoue, Yuki Oishi, Yuto Terauchi, Yu Daimon, Go Fujii, Kaname Kawatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present an original formulation predicting the characteristic velocity and specific impulse for bi-propellant thrusters as the straightforward function of injection conditions, propellant combination, and nozzle configuration. The validity is demonstrated by comparing with corresponding combustion test results in the past using NTO and MMH as the propellant under several injector unlike-doublet and triplet configurations. The theoretical formulation deduces a framework for a quantitative cold flow test to predict characteristic velocity. We employ water and dyed water as simulant liquids, which are environmentally friendly and easy to handle, and then, measure the local ratios of mixture and flow rate using an absorbance spectrometer. Density ratio mismatch between hypergolic propellants and water can be reasonably compensated. Combined with chemical equilibrium analysis, we calculate characteristic velocity for a wide range of injection mixture ratios. The validity of the quantitative water-flow diagnostic is also evidenced by comparing the results with those of corresponding combustion tests, indicating that the mixing states of bi-propellant thrusters under combustion can be reproduced using the water-flow diagnostic.

Original languageEnglish
Title of host publicationAIAA Propulsion and Energy 2020 Forum
PublisherAmerican Institute of Aeronautics and Astronautics Inc, AIAA
Pages1-13
Number of pages13
ISBN (Print)9781624106026
DOIs
Publication statusPublished - 2020
EventAIAA Propulsion and Energy 2020 Forum - Virtual, Online
Duration: Aug 24 2020Aug 28 2020

Publication series

NameAIAA Propulsion and Energy 2020 Forum

Conference

ConferenceAIAA Propulsion and Energy 2020 Forum
CityVirtual, Online
Period8/24/208/28/20

All Science Journal Classification (ASJC) codes

  • Energy(all)
  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering
  • Mechanical Engineering

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  • Cite this

    Inoue, C., Oishi, Y., Terauchi, Y., Daimon, Y., Fujii, G., & Kawatsu, K. (2020). Direct formulation and quantitative water-flow diagnostic for bi-propellant thruster performance. In AIAA Propulsion and Energy 2020 Forum (pp. 1-13). (AIAA Propulsion and Energy 2020 Forum). American Institute of Aeronautics and Astronautics Inc, AIAA. https://doi.org/10.2514/6.2020-3820