In the design and development of solid propellant rocket motors (SRMs), the use of numerical tools able to simulate, predict and reconstruct the behavior of a given motor in all its operative conditions is particularly important in order to decrease all the planning times and costs. An objective in this field of the space propulsion can be, hence, to develop an analysis/simulation capability of SRM internal ballistic for the entire combustion time. The core of the numerical simulation capability utilized in this paper is represented by the SPINBALL model and numerical code. SPINBALL core model is a quasi-1D unsteady gasdynamics model of the internal ballistic, with source terms that take into account the contribution to the bore flowfield conditions due to the igniter, the grain propellant and motor cavities. The grain burning surface evolution model is represented by a 3D numerical grain regression model (GREG) based on a full matrix level set approach, on both rectangular and cylindrical structured grids. The numerical tool can be used both for the prediction and the reconstruction of SRM internal ballistics. In the reconstruction phase, in order to take into account for the internal ballistics non-ideal parameters and the nozzle throat area evolution, a 0D quasi steady model of SRM internal ballistic has been developed. It uses, as input, the experimental data from static firing tests (SFTs), to evaluate the combustion efficiency, hump law, nozzle efficiency and nozzle throat area evolution. Results will be shown for one of the solid rocket motors developed in the ESA project of the new European small launcher Vega. The SPINBALL model, in fact, will be used for the reconstruction of the P80FW QM (Qualification Motor) and DM (Development Motor) SFTs. The use of the non-ideal parameters, coming from the 0D SFT numer- ical reconstruction model, within the Q1D model will be analyzed in order to underline the effects of the increased simulation capability on the SFTs reconstruction.
SRM Q1D unsteady Internal Ballistics Simulation using 3D Grain Burnback / Cavallini, Enrico; Favini, Bernardo; DI GIACINTO, Maurizio; F., Serraglia. - (2010). (Intervento presentato al convegno Space Propulsion 2010 tenutosi a San Sebastian, Spain nel 3 - 6 May 2010).
SRM Q1D unsteady Internal Ballistics Simulation using 3D Grain Burnback
FAVINI, Bernardo;DI GIACINTO, Maurizio;
2010
Abstract
In the design and development of solid propellant rocket motors (SRMs), the use of numerical tools able to simulate, predict and reconstruct the behavior of a given motor in all its operative conditions is particularly important in order to decrease all the planning times and costs. An objective in this field of the space propulsion can be, hence, to develop an analysis/simulation capability of SRM internal ballistic for the entire combustion time. The core of the numerical simulation capability utilized in this paper is represented by the SPINBALL model and numerical code. SPINBALL core model is a quasi-1D unsteady gasdynamics model of the internal ballistic, with source terms that take into account the contribution to the bore flowfield conditions due to the igniter, the grain propellant and motor cavities. The grain burning surface evolution model is represented by a 3D numerical grain regression model (GREG) based on a full matrix level set approach, on both rectangular and cylindrical structured grids. The numerical tool can be used both for the prediction and the reconstruction of SRM internal ballistics. In the reconstruction phase, in order to take into account for the internal ballistics non-ideal parameters and the nozzle throat area evolution, a 0D quasi steady model of SRM internal ballistic has been developed. It uses, as input, the experimental data from static firing tests (SFTs), to evaluate the combustion efficiency, hump law, nozzle efficiency and nozzle throat area evolution. Results will be shown for one of the solid rocket motors developed in the ESA project of the new European small launcher Vega. The SPINBALL model, in fact, will be used for the reconstruction of the P80FW QM (Qualification Motor) and DM (Development Motor) SFTs. The use of the non-ideal parameters, coming from the 0D SFT numer- ical reconstruction model, within the Q1D model will be analyzed in order to underline the effects of the increased simulation capability on the SFTs reconstruction.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
