2016
DOI: 10.2172/1505369
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Thirteenth International Workshop on Measurement and Computation of Turbulent Flames (TNF2016)

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Cited by 3 publications
(8 citation statements)
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“…The process level is split into three main blocks, namely, experiments, highly resolved LES and DNS, respectively, of (at least partially) isolated engine processes on a laboratory scale. This level is most important, and in fact, this is where the most fruitful experimental-numerical collaborations already exist, for example, in the ECN, 13 the TNF workshop 108 or the International Sooting Flame (ISF) workshop. 109 In contrast to previous definitions of the process level, for engines both experiments and simulations (LES and DNS) can serve as a data source.…”
Section: Approach For Systematic Model Evaluation and Development Formentioning
confidence: 99%
See 1 more Smart Citation
“…The process level is split into three main blocks, namely, experiments, highly resolved LES and DNS, respectively, of (at least partially) isolated engine processes on a laboratory scale. This level is most important, and in fact, this is where the most fruitful experimental-numerical collaborations already exist, for example, in the ECN, 13 the TNF workshop 108 or the International Sooting Flame (ISF) workshop. 109 In contrast to previous definitions of the process level, for engines both experiments and simulations (LES and DNS) can serve as a data source.…”
Section: Approach For Systematic Model Evaluation and Development Formentioning
confidence: 99%
“…For engine combustion, the limits between unit problems and process level are continuous; for instance, the DNS of a stratified flame 126 could be attributed to both levels, for example, if the stratification in the DNS is close to a mixture condition identified in step 1. A review of available DNS datasets, mostly at the unit-problem level, can be found in Barlow et al 108 Although the discussion is deliberately kept generic here, it is clear that the approach described above ensures that the process initially starts on the system level (step 1), then consecutively steps down the pyramid (steps 2-6) before it finally returns to the system level (step 7; see Figures 4 and 5).…”
Section: Approach For Systematic Model Evaluation and Development Formentioning
confidence: 99%
“…The Wasserstein metric has been employed to assess different modeling approaches in simulating a turbulent jet flame with inhomogeneous inlets. 31,32 Representative results are illustrated in fig. 5, showing comparisons of the multiscalar Wasserstein metric for QoIs of mixture fraction, temperature, and species mass fractions of CO 2 and CO.…”
Section: How To Assess the Simulation Accuracy?mentioning
confidence: 99%
“…Figure 5: Quantitative evaluation of multiscalar Wasserstein metric, 31 W2(Z, T, YCO 2 , YCO) from six different LEScalculations of the piloted turbulent CH4/air jet flame with inhomogeneous inlets; results presented at the 14th TNF-workshop. 32 The metric decomposition allows to assess contributions from each scalar quantity for all axial location. This quantitative validation analysis enables models to be compared objectively.…”
Section: How To Assess the Simulation Accuracy?mentioning
confidence: 99%
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