A systematic approach to high-fidelity modeling and efficient simulation of supercritical fluid mixing and combustion

Wang, Xingjian; Huo, Hongfa; Unnikrishnan, Umesh; Yang, Vigor

doi:10.1016/j.combustflame.2018.04.030

Cited by 35 publications

(3 citation statements)

References 75 publications

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“…Unsteady numerical studies focused on the vicinity of the coaxial injectors [10,24,[47][48][49][50], showing a flame anchored in the wake region behind the injector lip and spreading around the LOx jet. Simulations of the whole flame in transcritical regime, from the injection unit to the flame end, have been performed in [25,27,37,43,[51][52][53][54][55][56].…”

Section: Introductionmentioning

confidence: 99%

Large-Eddy Simulations of the Mascotte Test Cases Operating at Supercritical Pressure

Schmitt

2020

Flow Turbulence Combust

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Liquid rocket, Diesel or aircraft engines may operate in the transcritical regime. In such thermodynamic conditions, the classical phase change that occurs at subcritical pressure disappears and the mixing layer between the dense and cold jet and the outer gaseous stream is characterized by large variations of density and thermodynamic properties. Fluids show strong departure from a perfect gas behavior and a real-gas formulation is needed to model the fluid state. The extension of the unstructured AVBP solver, jointly developed by CERFACS and IFPEN, to handle highpressure thermodynamics is presented in details. It is then validated on the experimental coaxial injectors studied with the Mascotte test rig from ONERA that operate in the transcritical range, namely the LOx/GH2 cases A60 and C60 and the LOx/GCH4 configuration G2. The flame pattern observed in experiments is properly recovered, hence validating the numerical strategy. Numerical results are then discussed focusing on the role of the momentum flux ratio on the development of transcritical flames.

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Section: Introductionmentioning

confidence: 99%

Large-Eddy Simulations of the Mascotte Test Cases Operating at Supercritical Pressure

Schmitt

2020

Flow Turbulence Combust

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“…The real fluid behavior becomes apparent when using an appropriate EOS. Twoparameter cubic EOS, such as the Soave-Redlich-Kwong (SRK) [21] and Peng-Robinson (PR) [22] models, are very popular because of their computational efficiency [15,[23][24][25][26]. The intrinsic drawback of two-parameter cubic EOS is the usage of a universal critical compressibility factor, which can severely limit their accuracy close to the critical point.…”

Section: Introductionmentioning

confidence: 99%

Large eddy simulations of reacting and non-reacting transcritical fuel sprays using multiphase thermodynamics

Fathi,

Hickel,

Roekaerts

2022

Preprint

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Accurate simulations of high-pressure transcritical fuel sprays are essential for the design and optimization of next-generation gas turbines, internal combustion engines, and liquid propellant rocket engines. Most important and challenging is the accurate modelling of complex real-gas effects in high-pressure environments, especially the hybrid subcritical-to-supercritical mode of evaporation during the mixing of fuel and oxidizer. In this paper, we present a novel modeling framework for high-fidelity simulations of reacting and non-reacting transcritical fuel sprays. In this method, the highpressure jet disintegration is modeled using a diffuse interface method with multiphase thermodynamics, which combines multi-component real-fluid kinetic and caloric state equations with vapor-liquid equilibrium calculations in order to compute thermodynamic properties of the mixture at transcritical pressures. All multiphase thermodynamic formulations are presented for general cubic state equations coupled with a rapid phase-equilibrium calculation method. The proposed method represents multiphase turbulent fluid flows at transcritical pressures without relying on any semi-empirical breakup and evaporation models. Combustion source terms are evaluated using a finite-rate chemistry model, including real-gas effects based on the fugacity of the species in the mixture. The adaptive local deconvolution method (ALDM) is used as a physically consistent turbulence model for large-eddy simulation (LES). LES results show a very good agreement with available experimental data for the reacting and non-reacting ECN Spray A at transcritical operating conditions.

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“…To better capture flow characteristics and identify design attributes, one solution is high-fidelity modeling and simulations such as large-eddy simulation (LES). The LES framework employed in the present work is capable of dealing with fluid flow and combustion dynamics over the entire range of thermodynamic states [1][2][3][4][5]. These simulations, however, are computationally expensive and impractical for use as a primary tool to survey the design space; an axisymmetric simulation of flow evolution in a simplex swirl injection with LES-grade resolution, for instance, may take about 100,000 CPU hours on the hexa-core AMD Opteron Processor 8431.…”

mentioning

confidence: 99%

Kernel-Smoothed Proper Orthogonal Decomposition–Based Emulation for Spatiotemporally Evolving Flow Dynamics Prediction

et al. 2019

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This interdisciplinary study, which combines machine learning, statistical methodologies, highfidelity simulations, and flow physics, demonstrates a new process for building an efficient surrogate model for predicting spatiotemporally evolving flow dynamics. In our previous work, a common-grid proper-orthogonal-decomposition (CPOD) technique was developed to establish a physics-based surrogate (emulation) model for prediction of mean flowfields and design exploration over a wide parameter space. The CPOD technique is substantially improved upon here using a kernel-smoothed POD (KSPOD) technique, which leverages kriging-based weighted functions from the design matrix. The resultant emulation model is then trained using a dataset obtained through high-fidelity simulations.As an example, the flow evolution in a swirl injector is considered for a wide range of design parameters and operating conditions. The KSPOD-based emulation model performs well, and can faithfully capture the spatiotemporal flow dynamics. The model enables effective design surveys utilizing high-fidelity simulation data, achieving a turnaround time for evaluating new design points that is 42,000 times faster than the original simulation.

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A systematic approach to high-fidelity modeling and efficient simulation of supercritical fluid mixing and combustion

Cited by 35 publications

References 75 publications

Large-Eddy Simulations of the Mascotte Test Cases Operating at Supercritical Pressure

Large-Eddy Simulations of the Mascotte Test Cases Operating at Supercritical Pressure

Large eddy simulations of reacting and non-reacting transcritical fuel sprays using multiphase thermodynamics

Kernel-Smoothed Proper Orthogonal Decomposition–Based Emulation for Spatiotemporally Evolving Flow Dynamics Prediction

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