REDIM reduced modeling of flame quenching at a cold wall – The influence of detailed transport models and detailed mechanisms

Straßacker, Christina; Bykov, Viatcheslav; Maas, Ulrich

doi:10.1080/00102202.2018.1440216

Cited by 18 publications

(7 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The instant of quenching (t Q ) is defined as the time instant of the maximum wall heat flux q wall,max = ( T∕ x| wall ) max , which is consistent with other numerical studies (Strassacker et al 2019). The dimensionless form of wall heat flux is…”

Section: Dimensionless Parameterssupporting

confidence: 61%

“…For example, Ganter et al (2017) reported that when using mixture-averaged diffusion, the simulation results show better agreement with the SWQ experimental data compared to the unity Lewis number assumption. Strassacker et al (2019) performed an unstrained HOQ simulation, and also confirmed that detailed transport models lead to improved predictions compared to simplified transport models. However, the relevance for varying and especially high-strain conditions is still unknown.…”

Section: Introductionmentioning

confidence: 62%

“…Previous numerical studies (Ganter et al 2017;Strassacker et al 2019) reported that differential diffusion is an important phenomenon during flame-wall interaction. For example, Ganter et al (2017) reported that when using mixture-averaged diffusion, the simulation results show better agreement with the SWQ experimental data compared to the unity Lewis number assumption.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Strain Rate Effects on Head-on Quenching of Laminar Premixed Methane-air flames

Luo

Straßacker

Wen

et al. 2020

Flow Turbulence Combust

Self Cite

View full text Add to dashboard Cite

Head-on quenching is a canonical configuration for flame-wall interaction. In the present study, the transient process of a laminar premixed flame impinging on a wall is investigated for different strain rates, while previous studies with detailed chemistry and transport focused only on unstrained conditions. Increasing strain rate leads to a reduction in the normalized quenching distance, and an increase in the normalized wall heat flux, both are considered as global flame quantities. Looking more into the local microstructure of the quenching process, CO formation and oxidation near the wall are shifted to higher temperatures under higher strain rates. Further, the local flame structure and the thermochemical state are affected by differential diffusion driven by differences in species' gradients and diffusivities. Quenching leads to increased species' gradients and consequently differential diffusion is amplified near the wall compared to propagating flames. However, this effect is suppressed for increasing strain rates, which is explained in more detail by a source term analysis of the transport equation for the differential diffusion parameter Z HC. Results for the global quantities and the local flame structure show that the impact of the strain rate weakens for higher wall temperatures. Finally, the analyses of the thermo-chemical quantities in the composition space shows that H 2 can be a good parameter to characterize the strain rate both for propagating and quenching flamelet.

show abstract

Section: Dimensionless Parameterssupporting

confidence: 61%

Section: Introductionmentioning

confidence: 62%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Strain Rate Effects on Head-on Quenching of Laminar Premixed Methane-air flames

Luo

Straßacker

Wen

et al. 2020

Flow Turbulence Combust

Self Cite

View full text Add to dashboard Cite

show abstract

“…Despite the progresses made in the previous works, studying FWI is challenging as the relevant phenomena occur in a very thin near-wall layer with a thickness of the order of O(0.1mm). Focus of the recent numerical works was also to validate the proposed modeling concepts, such as the influences of using 2D/3D grids or detailed/reduced reaction-diffusion models, on reproducing the measured data [4,5,7,15,14]. In addition, mostly under-resolved grid resolutions have been applied in these works.…”

Section: Introductionmentioning

confidence: 99%

DNS of Near Wall Dynamics of Premixed CH4/Air Flames

Zhang¹,

Zirwes²,

Häber³

et al. 2021

14th WCCM-ECCOMAS Congress

View full text Add to dashboard Cite

This work presents a numerical study on the effect of flame-wall interaction (FWI) from the viewpoint of flame dynamics. For that purpose, direct numerical simulations (DNS) employing detailed calculations of reaction rates and transport coefficients have been applied to a 2D premixed methane/air flame under atmospheric condition. Free flame (FF) and side-wall quenching (SWQ) configurations are realized by defining one lateral boundary as either a symmetry plane for the FF or a cold wall with fixed temperature at 20 o C for the SWQ case. Different components of flame stretch and Markstein number regarding tangential, normal (due to curvature) and total stretch, Ka s , Ka c and Ka tot = Ka s + Ka c , as well as their correlations with respect to the local flame consumption speed S L have been evaluated.

show abstract

“…The authors determined quenching distances under various flame and wall conditions. Since then, extensive experimental (Lu et al 1991;Ezekoye et al 1992;Bellenoue et al 2003;Sotton et al 2005;Kim et al 2006;Boust et al 2007;Labuda et al 2011;Mann et al 2014;Dreizler and Böhm 2015;Suckart et al 2016;Rißmann et al 2017;Jainski et al 2017aJainski et al , b, 2018Kosaka et al 2018;Häber and Suntz 2018;Kosaka et al 2019) and numerical (Poinsot et al 1993;Bruneaux et al 1996;Popp and Baum 1997;Hasse et al 2000;Andrae et al 2002;Singh 2004;Chauvy et al 2010;Proch and Kempf 2015;Ganter et al 2017;Heinrich et al 2018a, b;Strassacker et al , 2019) studies on flame-wall interactions (FWI) have been carried out in recent years. Even though almost seven decades have been spent on the investigation of flame quenching near (cold) walls, which has improved the understanding of the flame-wall interaction substantially, one is far from having a quantitative understanding of the phenomena.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study of Quenching Distances for Side-Wall Quenching Using Detailed Diffusion and Chemistry

Zirwes

Häber

Zhang

et al. 2020

Flow Turbulence Combust

View full text Add to dashboard Cite

The numerical investigation of quenching distances in laminar flows is mainly concerned with two setups: head-on quenching (HOQ) and side-wall quenching (SWQ). While most of the numerical work has been conducted for HOQ with good agreement between simulation and experiment, far less analysis has been done for SWQ. Most of the SWQ simulations used simplified diffusion models or reduced chemistry and achieved reasonable agreement with experiments. However, it has been found that quenching distances for the SWQ setup differ from experimental results if detailed diffusion models and chemical reaction mechanisms are employed. Side-wall quenching is investigated numerically in this work with steady-state 2D and 3D simulations of an experimental flame setup. The simulations fully resolve the flame and employ detailed reaction mechanisms as well as molecular diffusion models. The goal is to provide data for the sensitivity of numerical quenching distances to different parameters. Quenching distances are determined based on different markers: chemiluminescent species, temperature and OH iso-surface. The quenching distances and heat fluxes at the cold wall from simulations and measurements agree well qualitatively. However, quenching distances from the simulations are lower than those from the experiments by a constant factor, which is the same for both methane and propane flames and also for a wide range of equivalence ratios and different markers. A systematic study of different influencing factors is performed: Changing the reaction mechanism in the simulation has little impact on the quenching distance, which has been tested with over 20 different reaction mechanisms. Detailed diffusion models like the mixture-averaged diffusion model and multi-component diffusion model with and without Soret effect yield the same quenching distances. By assuming a unity Lewis number, however, quenching distances increase significantly and have better agreement with measurements. This was validated by two different numerical codes (OpenFOAM and FASTEST) and also by 1D head-on quenching simulations (HOQ). Superimposing a fluctuation on the inlet velocity in the simulation also increases the quenching distance on average compared to the reference steady-state case. The inlet velocity profile, temperature boundary condition of the rod and radiation have a negligible effect. Finally, three dimensional simulations are necessary in order to obtain the correct velocity field in the SWQ computations. This however has only a negligible effect on quenching distances.

show abstract

REDIM reduced modeling of flame quenching at a cold wall – The influence of detailed transport models and detailed mechanisms

Cited by 18 publications

References 25 publications

Strain Rate Effects on Head-on Quenching of Laminar Premixed Methane-air flames

Strain Rate Effects on Head-on Quenching of Laminar Premixed Methane-air flames

DNS of Near Wall Dynamics of Premixed CH4/Air Flames

Numerical Study of Quenching Distances for Side-Wall Quenching Using Detailed Diffusion and Chemistry

Contact Info

Product

Resources

About