Numerical simulation of a methane-oxygen rotating detonation rocket engine

Prakash, Supraj; Raman, Venkat; Lietz, Christopher; Hargus, William A.; Schumaker, Stephen A.

doi:10.1016/j.proci.2020.06.288

Cited by 68 publications

(6 citation statements)

References 38 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Such sizing is necessary to capture transient detonation dynamics along with other flow-field length scales in the RDRE [35,36]. Additionally, this is consistent with numerous RDRE simulations by Schwer and Kailasanath, Ross et al, Pal et al, and Prakash et al [37][38][39][40][41].…”

Section: Rdre Geometry and Numerical Setupsupporting

confidence: 76%

See 1 more Smart Citation

Descending Modal Transition Dynamics in a Large Eddy Simulation of a Rotating Detonation Rocket Engine

et al. 2021

Self Cite

View full text Add to dashboard Cite

Rotating detonation rocket engines (RDREs) exhibit various unsteady phenomena, including modal transitions, that significantly affect their operation, performance and stability. The dynamics of the detonation waves are studied during a descending modal transition (DMT) where four co-rotating detonations waves decrease to three in a gaseous methane-oxygen RDRE. Detonation wave tracking is applied to capture, visualize and analyze unsteady, 3D detonation wave dynamics data within the combustion chamber of the RDRE. The mechanism of a descending modal transition is the failure of a detonation wave in the RDRE, and in this study, the failing wave is identified along with its failure time. The regions upstream of each relative detonation show the mixture and flow-field parameters that drive detonation failure. Additionally, it is shown that descending modal transitions encompass multiple phases of detonation decay and recovery with respect to RDREs. The results show high upstream pressure, heat release and temperature, coupled with insufficient propellants, lead to detonation wave failure and non-recovery of the trailing detonation wave during a descending modal transition. Finally, the Wolanski wave stability criterion regarding detonation critical reactant mixing height provides insight into detonation failure or sustainment.

show abstract

Section: Rdre Geometry and Numerical Setupsupporting

confidence: 76%

“…The dynamics of the full start-up transient in RDREs are the topic of ongoing research. Further details regarding RDRE numerical setup and experimental comparisons are available in Lietz et al and Prakash et al [8,40].…”

Section: Rdre Geometry and Numerical Setupmentioning

confidence: 99%

Descending Modal Transition Dynamics in a Large Eddy Simulation of a Rotating Detonation Rocket Engine

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…The 1-D detonation simulations were conducted with the OpenFOAM-based solver UMdetFOAM [36][37][38], which solves the governing equations of fluid flow consisting of mass, momentum, energy, and species conservation equations. UMdetFOAM is a compressible flow solver which contains shock-capturing numerics using the Monotonic Upwind Scheme for Conservation Laws (MUSCL)-based Harten-Lax-van Leer-Contact (HLLC) scheme [37,39], a second-order Runge-Kutta temporal discretization with minimal dissipation [40], and the Kurganov, Noelle, and Petrova (KNP) scheme [41] for diffusion terms.…”

Section: -D Channel Detonationmentioning

confidence: 99%

“…2 implemented in the CUDA and cuBLAS environments. This code has been extensively validated using experiments of detonation-containing flows [36][37][38][39].…”

Section: -D Channel Detonationmentioning

confidence: 99%

A Neural Network Inspired Formulation of Chemical Kinetics

Barwey,

Raman

2020

Preprint

Self Cite

View full text Add to dashboard Cite

A method which casts the chemical source term computation into an artificial neural network (ANN)inspired form is presented. This approach is well-suited for use on emerging supercomputing platforms that rely on graphical processing units (GPUs). The resulting equations allow for a GPU-friendly matrixmultiplication based source term estimation where the leading dimension (batch size) can be interpreted as the number of chemically reacting cells in the domain; as such, the approach can be readily adapted in high-fidelity solvers for which an MPI rank offloads the source term computation task for a given number of cells to the GPU. Though the exact ANN-inspired recasting shown here is optimal for GPU environments as-is, this interpretation allows the user to replace portions of the exact routine with trained, so-called approximate ANNs, where the goal of these approximate ANNs is to increase computational efficiency over the exact routine counterparts. Note that the main objective of this paper is not to use machine learning for developing models, but rather to represent chemical kinetics using the ANN framework. The end result is that little-to-no training is needed, and the GPU-friendly structure of the ANN formulation during the source term computation is preserved. The method is demonstrated using chemical mechanisms of varying complexity on both 0-D auto-ignition and 1-D channel detonation problems, and the details of performance on GPUs are explored.

show abstract

“…Due to the high activity and easy initiation of gaseous fuels, a series of RDW experimental study using hydrogen, methane and other gases as fuels have been carried out [3][4][5], and single wave model [6][7][8], two-counter RDW model [9,10], single and double wave mixing model [11,12], multi wave mode [11][12][13] have been observed. In addition, there are a lot of numerical simulation work to conduct in-depth research on the flow field characteristics of RDW generated by gaseous fuel, and analyze in detail the change of flow field state from ignition to stabilization [14,15].…”

Section: Introductionmentioning

confidence: 99%

Experimental study on propagation characteristics of rotating detonation wave of liquid kerosene with oxygen-enriched air

Han

Zheng

Huang

et al. 2023

J. Phys.: Conf. Ser.

View full text Add to dashboard Cite

In order to study the propagation characteristics of rotating detonation wave (RDW) of liquid fuel, an experimental study was carried out with liquid kerosene at room temperature as fuel and oxygen-enriched air with oxygen volume fraction of 38.5% as oxidant in this paper. RDW with equivalence ratio in the range of 0.65~0.9 was successfully obtained by controlling kerosene mass flow, and a detailed analysis of propagation characteristics of RDW was carried out. The results show that with the increase of equivalence ratio, the propagation state of RDW gradually changes from the premature flameout of discontinuous detonation to the complete operation of continuous detonation. The flow blockage of the injectors will further worsen the mixing effect under low equivalence ratio conditions, resulting in the discontinuous detonation phenomenon of repeated flameout-initiation process in the combustion chamber. In this study, almost all detonation waves operate in two-counter RDW mode, except that there is a single wave mode in a short period after flameout-initiation process.

show abstract

Numerical simulation of a methane-oxygen rotating detonation rocket engine

Cited by 68 publications

References 38 publications

Descending Modal Transition Dynamics in a Large Eddy Simulation of a Rotating Detonation Rocket Engine

Descending Modal Transition Dynamics in a Large Eddy Simulation of a Rotating Detonation Rocket Engine

A Neural Network Inspired Formulation of Chemical Kinetics

Experimental study on propagation characteristics of rotating detonation wave of liquid kerosene with oxygen-enriched air

Contact Info

Product

Resources

About