Numerical and experimental investigation of turbulent DME jet flames

Bhagatwala, Ankit; Luo, Zhaoyu; Shen, Han; Sutton, Jeffrey A.; Lu, Tianfeng; Chen, Jacqueline H.

doi:10.1016/j.proci.2014.05.147

Cited by 92 publications

(44 citation statements)

References 19 publications

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“…The twodimensional computational domain consists of a square of dimensions −0.00114m< x < 0.00114m and 0 < y < 0.00228m. A skeletal 39 species mechanism is used to model the dimethyl ether chemistry [27]. A premixed jet of DME and nitrogen surrounded by a weak co-flow of air flows into a preheated domain at 1525K filled with air at an initial pressure of 40atm.…”

Section: Two-dimensional Dimethyl Ether Jetmentioning

confidence: 99%

A fourth-order adaptive mesh refinement algorithm for the multicomponent, reacting compressible Navier–Stokes equations

Emmett

Motheau

Zhang

et al. 2019

Combustion Theory and Modelling

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In this paper we present a fourth-order in space and time block-structured adaptive mesh refinement algorithm for the compressible multicomponent reacting Navier-Stokes equations. The algorithm uses a finite volume approach that incorporates a fourth-order discretization of the convective terms. The time stepping algorithm is based on a multi-level spectral deferred corrections method that enables explicit treatment of advection and diffusion coupled with an implicit treatment of reactions. The temporal scheme is embedded in a block-structured adaptive mesh refinement algorithm that includes subcycling in time with spectral deferred correction sweeps applied on levels. Here we present the details of the multi-level scheme paying particular attention to the treatment of coarse-fine boundaries required to maintain fourth-order accuracy in time. We then demonstrate the convergence properties of the algorithm on several test cases including both nonreacting and reacting flows. Finally we present simulations of a vitiated dimethyl ether jet in 2D and a turbulent hydrogen jet in 3D, both with detailed kinetics and transport.

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Section: Two-dimensional Dimethyl Ether Jetmentioning

confidence: 99%

A fourth-order adaptive mesh refinement algorithm for the multicomponent, reacting compressible Navier–Stokes equations

Emmett

Motheau

Zhang

et al. 2019

Combustion Theory and Modelling

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“…CHEMKIN [35] and TRANSPORT [36] libraries are linked to S3D to evaluate reaction rates, thermodynamic and mixture-averaged transport properties. A reduced chemical mechanism for DME oxidation consisting of 30 chemical species is employed in this study [32].…”

Section: Numerical Methodology and Initial Conditions For Dnsmentioning

confidence: 99%

“…Although hydrogen is important in its own right as a potential fuel for HCCI engines and it also forms a building block for more complex hydrocarbon fuel chemistry, it does not contain the NTC regime prevalent in some practical engine fuels. The present study incorporates a reduced DME chemical mechanism [32], systematically reduced and validated from a detailed mechanism [12], through rigorous mathematical techniques. DME is a potential fuel for HCCI engines and it also exhibits NTC chemistry.…”

Section: Introductionmentioning

confidence: 99%

Direct numerical simulations of autoignition in stratified dimethyl-ether (DME)/air turbulent mixtures

Bansal

Mascarenhas

Chen

2015

Combustion and Flame

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a b s t r a c tIn this paper, two-and three-dimensional direct numerical simulations (DNS) of autoignition phenomena in stratified dimethyl-ether (DME)/air turbulent mixtures are performed. A reduced DME oxidation mechanism, which was obtained using rigorous mathematical reduction and stiffness removal procedure from a detailed DME mechanism with 55 species, is used in the present DNS. The reduced DME mechanism consists of 30 chemical species. This study investigates the fundamental aspects of turbulence-mixing-autoignition interaction occurring in homogeneous charge compression ignition (HCCI) engine environments. A homogeneous isotropic turbulence spectrum is used to initialize the velocity field in the domain. The computational configuration corresponds to a constant volume combustion vessel with inert mass source terms added to the governing equations to mimic the pressure rise due to piston motion, as present in practical engines. DME autoignition is found to be a complex three-staged process; each stage corresponds to a distinct chemical kinetic pathway. The distinct role of turbulence and reaction in generating scalar gradients and hence promoting molecular transport processes are investigated. By applying numerical diagnostic techniques, the different heat release modes present in the igniting mixture are identified. In particular, the contribution of homogeneous autoignition, spontaneous ignition front propagation, and premixed deflagration towards the total heat release are quantified.

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“…Reduced mechanisms are available for most of the conventional biofuels including biodiesel [186,187] and ethanol. [188] However, only af ew exemplary reduced schemes have been developed for advanced biofuels.…”

Section: Mechanism Reduction Strategiesmentioning

confidence: 99%

Advanced Biofuels and Beyond: Chemistry Solutions for Propulsion and Production

et al. 2017

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Sustainably produced biofuels, especially when they are derived from lignocellulosic biomass, are being discussed intensively for future ground transportation. Traditionally, research activities focus on the synthesis process, while leaving their combustion properties to be evaluated by a different community. This Review adopts an integrative view of engine combustion and fuel synthesis, focusing on chemical aspects as the common denominator. It will be demonstrated that a fundamental understanding of the combustion process can be instrumental to derive design criteria for the molecular structure of fuel candidates, which can then be targets for the analysis of synthetic pathways and the development of catalytic production routes. With such an integrative approach to fuel design, it will be possible to improve systematically the entire system, spanning biomass feedstock, conversion process, fuel, engine, and pollutants with a view to improve the carbon footprint, increase efficiency, and reduce emissions.

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Numerical and experimental investigation of turbulent DME jet flames

Cited by 92 publications

References 19 publications

A fourth-order adaptive mesh refinement algorithm for the multicomponent, reacting compressible Navier–Stokes equations

A fourth-order adaptive mesh refinement algorithm for the multicomponent, reacting compressible Navier–Stokes equations

Direct numerical simulations of autoignition in stratified dimethyl-ether (DME)/air turbulent mixtures

Advanced Biofuels and Beyond: Chemistry Solutions for Propulsion and Production

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