Numerical and experimental analysis of fuel regression rate in a lab-scale hybrid rocket engine with swirl injection

• Published in: Aerospace science and technology Vol. 140; p. 108467
• Main Authors: Migliorino, Mario Tindaro, Fabiani, Marco, Paravan, Christian, Bianchi, Daniele, Nasuti, Francesco, Galfetti, Luciano, Pellegrini, Rocco Carmine, Cavallini, Enrico
• Format: Journal Article
• Language: English
• Published: Elsevier Masson SAS 01-09-2023
• Subjects: Hybrid rockets; Paraffin wax; Swirl injection; Hybrid rockets; Swirl injection; Paraffin wax
• ISSN: 1270-9638; 1626-3219
• DOI: 10.1016/j.ast.2023.108467

In this work the regression rate performance and flow physics of a lab-scale hybrid rocket engine burning gaseous oxygen and paraffin-based fuels are experimentally and numerically investigated. Regression rates are obtained by thickness-over-time averaging procedures and through a non-intrusive optical method enabling fuel grain port diameter tracking. A numerical rebuilding of the experimental data is performed with axisymmetric Reynolds-averaged Navier-Stokes simulations, using sub-models accounting for the effects of turbulence, chemistry, radiation, and fluid-surface interaction. Simulations are performed with different computational setups, also considering the fuel grain shape variation over time, obtaining a fairly good agreement between the numerical and experimental data. A parametric analysis is also performed to assess the variation of the fuel regression rate with swirl intensity.