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Experiment and numerical research on regression rate of hybrid rocket motor with single-port wagon wheel fuel grain.

Authors :
Wei, Tianfang
Cai, Guobiao
Tian, Hui
Jiang, Xianzhu
Source :
Acta Astronautica. Jun2023, Vol. 207, p265-282. 18p.
Publication Year :
2023

Abstract

This paper focuses on the research on regression rate of hybrid rocket motor with single-port wagon wheel fuel grain. Both experiment and numerical investigations are carried out to study the three-dimension regression rate of hybrid rocket motor on several characteristic points. A laboratory 500 N-class firing test of hybrid rocket motor with single-port wagon wheel fuel grain has been conducted on the standard ground experimental system. The 98% hydrogen peroxide oxidizer and hydroxyl terminated polybutadiene based fuel are adopted as propellants. The digital image processing of three-dimension regression rate is carried out, and a post-processing software has been developed to calculate the time-averaged three-dimension distribution of regression rate after the firing test. Three-dimensional numerical simulations with gaseous combustion considered are carried out to study the axial distribution of regression rate. The results of digital image processing manifest that the average regression rates of the middle position of wagon wheel spokes is higher than those in the slot of wagon wheel. A good agreement exists between the calculated regression rate from numerical simulation and the experimental results conducted by computed tomography scanning. The comparison results show that the digital image processing is potentially an effective tool for investigating and predicting the three-dimension regression rate of hybrid rocket motor with single-port wagon wheel fuel grain. • Firing test of HRM with single-port wagon wheel fuel grain has been carried out. • The method of CT scanning digital image processing and software are developed. • Three-dimension regression rates of HRM are characterized by simulation and test. • A good agreement exists between regression rates from simulation and CT scanning. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00945765
Volume :
207
Database :
Academic Search Index
Journal :
Acta Astronautica
Publication Type :
Academic Journal
Accession number :
162921069
Full Text :
https://doi.org/10.1016/j.actaastro.2023.03.021