Advanced Turbulence Model for SI Combustion in a Heavy-Duty NG Engine

Riccardi, Marco; Bellis, Vincenzo De; Sforza, Lorenzo; Beatrice, Carlo; Bozza, Fabio; Lucchini, Tommaso; Mirzaeian, Mohsen; Langridge, Simon; Fraioli, Valentina; Golini, Stefano

doi:10.4271/2022-01-0384

Cited by 3 publications

(3 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The 0D prediction appears quite poor during the intake phase, and this is due to its incapability to reproduce multiple and unstructured tumble eddies generated during this phase in the engine under study. 32 The model accuracy drastically improves during the compression stroke, where tumble collapse toward TDC is quite well captured. Figures 9 and 10 also depict the comparisons between the results of the presented K-k-T-S model and the ones of the K-k-T variant.…”

Section: Results and Discussion On Turbulence Modelmentioning

confidence: 95%

Section: Results and Discussion On Turbulence Modelmentioning

confidence: 98%

“…This section presents the predictions of the proposed 0D flow/turbulence model at two operating conditions and compares them to the results obtained via 3D-CFD simulations, widely detailed in Riccardi et al 32 The operating conditions considered are at 1200 and 1900 rpm, whose main engine settings are listed in Table 3. The 3D-CFD simulations of the gas exchange process were performed with Lib-ICE software, which is a code based on the OpenFOAM technology and extensively used for simulating IC engines for both academical and industrial tasks.…”

Section: Results and Discussion On Turbulence Modelmentioning

confidence: 98%

See 2 more Smart Citations

Advanced turbulence and combustion modeling for the study of a swirl-assisted natural gas spark-ignition heavy-duty engine

Riccardi

Bellis

Sforza³

et al. 2023

International Journal of Engine Research

Self Cite

View full text Add to dashboard Cite

Increasing demands on higher performance and lower fuel consumption and emissions have led the path for internal combustion engine development; this race is nowadays directly related to CO2 emissions reduction. To drive engine development and reduce the time-to-market, the employment of numerical analysis is mandatory. This requires a continuous improvement of the simulation models toward real predictive analyses able to reduce the experimental R&D efforts. In this framework, 1D numerical codes are fundamental tools for system design, energy management optimization, and calibration. The present work is focused on the improvement of the phenomenological turbulence model, originally conceived to describe turbulence evolution in tumble-promoting engines. The turbulence model is developed with reference to a SI heavy-duty CNG engine derived from a diesel engine. In this architecture, due to the flat cylinder head, turbulence is also generated by swirl and squish flow motions, in addition to tumble motion. The presented turbulence model is validated against 3D CFD results, demonstrating to properly predict turbulence and swirl/tumble evolution under two different operating conditions, without the need for any case-dependent tuning. The developed turbulence model is coupled to a phenomenological combustion model based on the fractal geometry theory applied to the flame front surface, where the turbulence is assumed to support flame propagation through an enhancement of the flame front area with respect to the laminar counterpart. The combustion model is validated against an extensive experimental dataset, composed of 25 operating points at different engine rotational speeds and loads. The numerical/experimental comparisons of global performance parameters are satisfactory, leading to maximum errors around ±2% for the BSFC, ±2° for the main combustion events, and ±1 bar for the in-cylinder peak pressure. Burn rate profiles are very well captured by the combustion model at changing operating conditions, not requiring any case-dependent tuning. The presented results demonstrate that the turbulence/combustion models could constitute a reliable virtual test facility, contributing to supporting and driving experimental activities.

show abstract

Section: Results and Discussion On Turbulence Modelmentioning

confidence: 95%

Section: Results and Discussion On Turbulence Modelmentioning

confidence: 98%

Section: Results and Discussion On Turbulence Modelmentioning

confidence: 98%

See 1 more Smart Citation

Advanced turbulence and combustion modeling for the study of a swirl-assisted natural gas spark-ignition heavy-duty engine

Riccardi

Bellis

Sforza³

et al. 2023

International Journal of Engine Research

Self Cite

View full text Add to dashboard Cite

show abstract

A Multiphysics Co-Simulation Framework of a Gas Engine and Three-Way Catalyst toward a Complete Vehicle Design Model

Maio¹,

Stramaccioni

Misul

et al. 2022

Machines

View full text Add to dashboard Cite

In view of the increasingly stringent emission regulations, the automotive sector needs considerable support from the development of robust and reliable engine and aftertreatment models. Accurate reproduction of engine-out and tailpipe pollutants plays a crucial role in complying with these legislations. Given the difficulty in characterizing some critical phenomena, frequently caused by strong dynamics and related to experimental uncertainties, communication between several calibrated and reliable models is mandatory. This is certainly valid for powertrains that will be powered with alternative gas fuels such as natural gas, bio-methane and hydrogen in the future. This paper describes a methodology to co-simulate a 1D CNG HD 6-cyl engine model and a 1D quasi-steady three-way catalyst model in a global framework for high-fidelity virtual prototyping of the vehicle system. Through the implementation of a dedicated control logic in MATLAB/Simulink, the modeling architecture allows for the reproduction of the engine performance parameters together with the evaluation of the TWC pollutants’ conversion efficiency. An extensive database of experimental tests was used to assess the model response. The latter was validated in multiple steady-state operating conditions of the engine workplan. Using a semi-predictive combustion model, the validation was carried out over a wide range of different air-to-fuel ratios and during fast rich/lean transitions to evaluate the formation and conversion phenomena of the main chemical species, both engine-out and tailpipe. Subsequently, the complete model was validated in dynamic conditions throughout a WHTC, accurately reproducing the cut-off phases and their sudden accelerations. The numerical–experimental agreement on pollutant reproduction is generally good and globally below 3%. Larger deviations occur in extremely rich conditions and in CH4 emission evaluation due to the lack of information related to the combustion process and chemical mechanisms involving the Pd surface.

show abstract

A Joint Work to Develop a Predictive 1D Modelling Approach for Heavy Duty Gaseous Fueled Engines through Experiments and 3D CFD Simulations

Fraioli,

Di Maio,

Napolitano

et al. 2023

SAE Technical Paper Series

View full text Add to dashboard Cite

<div class="section abstract"><div class="htmlview paragraph">The present paper reports experimental and numerical research activities devoted to deeply characterize the behavior and performance of a Heavy Duty (HD) internal combustion engine fed by compressed natural gas (CNG). Current research interest in HD engines fed by gaseous fuels with low C/H ratios is related to the well-known potential of such fuels in reducing carbon dioxide emissions, combined to extremely low particulate matter emissions too. Moreover, methane, the main CNG component, can be produced through alternative processes relying on renewable sources, or in the next future replaced by methane/H2 blends.</div><div class="htmlview paragraph">The final goal of the presented investigations is the development of a predictive 0D combustion submodel within the framework of a 1D numerical simulation platform. To this aim, an experimental campaign has been carried out on a six-cylinder HD spark ignition engine CNG engine, Euro VI d compliant, typically employed in road vehicle applications, at the test bench, in order to build a comprehensive and extended database. The experimental characterization was necessary not only to have a defined picture of the engine behavior, but also to provide the required initial and boundary conditions and a consistent dataset for 1D and 3D models validation.</div><div class="htmlview paragraph">Then, full-cycle 3D CFD numerical simulations have been carried out, reproducing all the engine phases of a selected cylinder: it has thus been possible to further enrich the set of information regarding main fluid-dynamic features of the investigated geometry and corresponding combustion evolution. At the same time, a 1D model of the full engine layout has been built. At first, it was preliminary calibrated and validated through a non-predictive combustion submodel (Three Pressure Analysis approach). Finally, relying on experimental and predicted data, including global swirl ratio temporal evolution, turbulent intensity and length scale, it has been possible to set up a predictive modelling approach, capable of suitably reproducing pressure profiles and flow rates in various engine operating conditions.</div></div>

show abstract

Advanced Turbulence Model for SI Combustion in a Heavy-Duty NG Engine

Cited by 3 publications

References 18 publications

Advanced turbulence and combustion modeling for the study of a swirl-assisted natural gas spark-ignition heavy-duty engine

Advanced turbulence and combustion modeling for the study of a swirl-assisted natural gas spark-ignition heavy-duty engine

A Multiphysics Co-Simulation Framework of a Gas Engine and Three-Way Catalyst toward a Complete Vehicle Design Model

A Joint Work to Develop a Predictive 1D Modelling Approach for Heavy Duty Gaseous Fueled Engines through Experiments and 3D CFD Simulations

Contact Info

Product

Resources

About