The Effects of Pressure and Temperature on Heat Transfer during Flame Quenching

Huang, W.M.; Greif, R.; Vosen, S. R.

doi:10.4271/872106

Cited by 5 publications

(2 citation statements)

References 22 publications

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“…In contrast, the boundary layer is characterised by greatly diminished turbulent mixing, and a narrow distribution of temperatures, both due to the proximity of the wall. It has been demonstrated in both numerical [52] and experimental [53,54] analyses that the zone of influence of the wall can extend to ~1 mm in the normal direction to the wall. This equates to around four per cent of the combustion chamber in the engine considered for the present study.…”

Section: Single-zonal and Multi-zonal Srmmentioning

confidence: 99%

Evaluating Emissions in a Modern Compression Ignition Engine Using Multi-Dimensional PDF-Based Stochastic Simulations and Statistical Surrogate Generation

Lai¹,

Parry²,

Mosbach³

et al. 2018

SAE Technical Paper Series

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Digital engineering workflows, involving physico-chemical simulation and advanced statistical algorithms, offer a robust and cost-effective methodology for model-based internal combustion engine development. In this paper, a modern Tier 4 capable Cat ® C4.4 engine is modelled using a digital workflow that combines the probability density function (PDF)-based Stochastic Reactor Model (SRM) Engine Suite with the statistical Model Development Suite (MoDS). In particular, an advanced multi-zonal approach is developed and applied to simulate fuels, in-cylinder combustion and gas phase as well as particulate emissions characteristics, validated against measurements and benchmarked with respect to the predictive power and computational costs of the baseline model. The multizonal SRM characterises the combustion chamber on the basis of different multi-dimensional PDFs dependent upon the bulk or the thermal boundary layer in contact with the cylinder liner. In the boundary layer, turbulent mixing is significantly weaker and heat transfer to the liner alters the combustion process. The integrated digital workflow is applied to perform parameter estimation based on the in-cylinder pressure profiles and engine-out emissions (i.e. NOx, CO, soot and unburnt hydrocarbons; uHCs) measurements. Four DoE (design-of-experiments) datasets are considered, each comprising measurements at a single load-speed point with various other operating conditions, which are then used to assess the capability of the calibrated models in mimicking the impact of the input variable space on the combustion characteristics and emissions. Both model approaches predict in-cylinder pressure profiles, NOx, and soot emissions satisfactorily well across all four datasets. Capturing the physics of emission formation near the cylinder liner enables the multi-zonal SRM approach to provide improved predictions for intermediates, such as CO and uHCs, particularly at low load operating points. Finally, fast-response surrogates are generated using the High Dimensional Model Representation (HDMR) approach, and the associated global sensitivities of combustion metrics and emissions are also investigated.

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Section: Single-zonal and Multi-zonal Srmmentioning

confidence: 99%

Evaluating Emissions in a Modern Compression Ignition Engine Using Multi-Dimensional PDF-Based Stochastic Simulations and Statistical Surrogate Generation

Lai¹,

Parry²,

Mosbach³

et al. 2018

SAE Technical Paper Series

View full text Add to dashboard Cite

show abstract

“…Especially prominent in this field are the multifarious publications of Woschni [6][7][8][9][10][11][12][13][14][15][16][17][18][19]. Of particular significance to our studies were the contributions of Greif and his associates [20][21][22][23][24][25][26]. The self-similarity theory reported here was developed on their basis, allowing the energy lost by heat transfer to the walls in the course of combustion to be evaluated from a measured pressure record.…”

Section: Introductionmentioning

confidence: 99%