Experimental study of energetic ionic liquid decomposition
| Autor: | Levard, Quentin, Pelletier, Nicolas, Byrde, Lorenzo, Corato, Christophe, Anthoine, Jérôme |
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| Přispěvatelé: | ONERA / DMPE, Université de Toulouse [Toulouse], ONERA-PRES Université de Toulouse, André, Cécile |
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: | |
| Zdroj: | EUCASS 2019 EUCASS 2019, Jul 2019, MADRID, Spain |
| Popis: | International audience; Spacecraft attitude and control chemical thrusters are mostly based on catalytic decomposition of anhydrous hydrazine. Because of its high toxicity and suspected carcinogenic effect, CNES proposed for replacement a new family of green monopropellants based on energetic ionic liquids. For a proper design of thruster combustion chamber, experiments on thermal ignition and regression rate were necessary. An experimental study of the combustion of two HPGM (High Performance Green Monopropellant) is presented in this paper. Two experimental setups were developed to study monopropellant combustion. The first experiment is focused on an isolated droplet in a controlled atmosphere. Tuning initial pressure around fresh propellant highlighted that there is a threshold pressure below which there is no combustion, but only thermal decomposition of monopropellant. No regression of the hanged droplet was noticeable because of intense distortion effects. However, capture and track of some of the fragmented droplets allowed measuring their radial regression. Unfortunately, the spatial and temporal resolutions were not sufficient to provide an accurate measurement. This motivated the transition to a second setup called “U-gutter combustion setup”, which was designed to drastically increase the combustion duration and then the resolution of the regression rate measurement. Fast camera imaging and a “Time-wires” technique using thermocouples were implemented to measure the flame front displacement. The gutter is placed into a pressurized vessel allowing controlling the ignition initial pressure. During combustion, pressure is monitored to estimate pressure influence on regression rate. First results highlighted a strong dependency of pressure on regression rate. The three methods have given similar order of magnitude, repeatability experiments are necessary to conclude on methods accuracy. |
| Databáze: | OpenAIRE |
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