Heat Transfer and Combustion Simulation of a 7-Element GOX/GCH4 Rocket Combustor

Numerical Approach for the Estimation of Throat Heat Flux in Liquid Rocket Engines

“…This significantly different behavior would make numerical results rather questionable. However, this aspect has been already noticed in previous studies which have found an explanation in axial heat transfer between segments [8,12]. In particular, due to the two water paths, one for cooling the first four segments in series and one in parallel for the cooling of nozzle segment, the nozzle segment appears to be colder than the fourth one.…”

“…However, results of a new test including the measure of coolant temperature increase in throat region have been made recently available [5,6]. These data have been considered a testbench for code validation by different Dipartimento di Ingegneria Meccanica ed Aerospaziale, "La Sapienza"-Università di Roma, Rome, Italy research groups making use of both commercial and inhouse CFD software [7][8][9][10][11][12][13][14][15]. In this paper, some aspects of modeling are deepened to get more insight on the driving phenomena for the correct prediction of throat heat flux.…”

Coaxial-Injector Surrogate Modeling Based on Reynolds-Averaged Navier–Stokes Simulations Using Deep Learning

“…Nevertheless, LES is still a high computational cost methodology, with long computational times, which can limit its use in the context of concrete applications. An alternative, when only stationary operating conditions are of interest, is to use Reynolds-Averaged Navier-Stokes (RANS) simulations [6][7][8][9][10]. However, even restitution times of RANS are too high if used in an optimisation framework loop of a whole engine.…”

Delayed Detached Eddy Simulations with Tabulated Chemistry for Thermal Loads Predictions

“…It was possible to further investigate injector-injector interactions by means of a second chamber, consisting of seven coaxial injectors [21]. The literature shows that a wide variety of combustion models coupled with RANS [22][23][24][25][26][27] and LES [28] could deliver reasonable results in terms of wall heat flux prediction. Nevertheless the overall trend shows that the quality of the prediction of wall heat flux and axial pressure distribution depends on the interaction between three models: the (subgrid) turbulence model [15], the chemical reaction mechanism, and the turbulence-chemistry interaction model [12,28].…”