DocumentCode
1682314
Title
Design of the retarding potential analyzer to be used with BURFIT-80 Ion thruster and validation using PIC-DSMC code
Author
Satir, Mert ; Sik, Firat ; Turkoz, Emre ; Celik, Murat
Author_Institution
Dept. of Mech. Eng., Bogazici Univ., Istanbul, Turkey
fYear
2015
Firstpage
577
Lastpage
582
Abstract
For better integration of plasma thrusters into spacecraft and satellites, potential damaging effects of impinging high energy ions on the spacecraft surfaces should be taken into consideration. For analyzing the plume plasma in this regard, retarding potential analyzers (RPA) are used in electric propulsion as one of the most fundamental and widely used diagnostics tools. RPA determines the ion energy distribution of plume plasma which is in the downstream of a thruster. This paper reports on a successful design process of an RPA to be used with BURFIT-80 ion thruster. An in-house developed hybrid Particle-In-Cell Direct Simulation Monte Carlo (PIC-DSMC) code, which is previously applied for ion thruster grid region is implemented to simulate the flow in the RPA. Results are used to validate the effective operation of the RPA. Potential distributions in the RPA are investigated and the calculated currents collected by the collector is compared with an existing experimental study.
Keywords
Monte Carlo methods; artificial satellites; electric propulsion; ion engines; plasma applications; BURFIT-80 ion thruster; PIC-DSMC code; RPA; electric propulsion; high energy ions; hybrid particle-in-cell direct simulation Monte Carlo code; ion energy plume plasma distribution; plasma thrusters; retarding potential analyzers; satellites; spacecraft; spacecraft surfaces; Apertures; Electric potential; Energy measurement; Ions; Plasmas; Probes; Space charge; electric propulsion; plasma diagnostics; plasma simulations; retarding potential analyzer;
fLanguage
English
Publisher
ieee
Conference_Titel
Recent Advances in Space Technologies (RAST), 2015 7th International Conference on
Conference_Location
Istanbul
Print_ISBN
978-1-4673-7760-7
Type
conf
DOI
10.1109/RAST.2015.7208410
Filename
7208410
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