In-cylinder CFD Simulation of a New 2.0L Turbo Charged GDI Engine

Chen, Ming; Wan-ping, Zhang; Zhang, Xiaomao; Ding, Ning

doi:10.4271/2011-01-0826

Cited by 7 publications

(4 citation statements)

References 9 publications

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“…Hence, the use of computational fluid dynamics (CFD) can represent an alternative solution, making it possible to test a significant variety of configurations in a limited amount of time. 10,11 However, simulation of fuel–air mixing in GDI engines involves many interacting phenomena that should be taken into account and still represents a very challenging task for CFD modeling. The complete evolution of the fuel spray, including the liquid film dynamics, should be described.…”

Section: Introductionmentioning

confidence: 99%

Development and application of a computational fluid dynamics methodology to predict fuel–air mixing and sources of soot formation in gasoline direct injection engines

Lucchini

Errico

Onorati

et al. 2013

International Journal of Engine Research

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A detailed understanding of the air–fuel mixing process in gasoline direct injection engines is necessary to avoid soot formation that might result from charge inhomogeneities or liquid fuel impingement on the cylinder walls. Within this context, the use of multidimensional models might be helpful to better understand how spray evolution in cylinder charge motions and combustion chamber design affects the mixture quality at spark-timing. In this work, the authors developed and applied a computational fluid dynamics methodology to simulate gas exchange and air–fuel mixture formation in gasoline direct injection engines. To this end, a suitable set of spray submodels was implemented into an open-source code to properly describe the evolution of gasoline jets emerging from multihole atomizers. Furthermore, the complete liquid film dynamics was also considered. For a proper assessment of the approach, a gasoline direct injection engine running at full load was simulated and effects of spray targeting and engine speed were studied. A detailed postprocessing of the computed data of liquid film mass, homogeneity index and equivalence ratio distributions was performed and correlated with experimental data of particulate emissions. Satisfactory results were achieved, proving the effectiveness of the proposed methodology in predicting the effects of injection system and operating conditions on soot formation.

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Section: Introductionmentioning

confidence: 99%

Development and application of a computational fluid dynamics methodology to predict fuel–air mixing and sources of soot formation in gasoline direct injection engines

Lucchini

Errico

Onorati

et al. 2013

International Journal of Engine Research

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show abstract

“…Liu et al 14 demonstrated a simplified turbulent combustion model on a carbureted 4-cylinder spark ignited engine. Chen et al 15 and Wang et al 16 extend this work to fuel injected SI engines, also with successful results. Yang and Zhu 17 applied these techniques to a two-zone SACI engine model.…”

Section: Introductionmentioning

confidence: 79%

“…Each of the previously described submodels contributes to the final determination of the burn rate. To determine the numerical value for a particular burn duration, a method similar to that chosen by Chen et al 15 is selected. Recognizing the importance of laminar flame speed (turbulence is defined to be constant from operating point to operating point at the same engine speed), an inverse relationship between laminar flame speed and burn duration is established.…”

Section: Physics-based Burn Duration Model Resultsmentioning

confidence: 99%

Evaluation of control-oriented flame propagation models for production control of a spark-assisted compression ignition engine

Robertson

Prucka

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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The drive to improve internal combustion engines has led to efficiency objectives that exceed the capability of conventional combustion strategies. As a result, advanced combustion modes are more attractive for production. These advanced combustion strategies typically add sensors, actuators, and degrees of freedom to the combustion process. Spark-assisted compression ignition (SACI) is an efficient production-viable advanced combustion strategy characterized by spark-ignited flame propagation that triggers autoignition in the remaining unburned gas. Modeling this complex combustion process for control demands a careful selection of model structure to maximize predictive accuracy within computational constraints. This work comprehensively evaluates a physics-based and a data-driven model. The physics-based model produces a burn duration by computing laminar flame speed as a function of test point conditions. The crank-angle domain is intentionally excluded to reduce computational expense. The data-driven model is an artificial neural network (ANN). The candidate models are compared to a one-dimensional engine model validated to experimental SACI engine data. Though both models capture the trends in burn rates, the ANN model has a root-mean square error (RMSE) of 1.4 CAD, significantly lower than the 10.4 CAD RMSE of the physics-based model. The exclusion of the crank-angle domain results in insufficient detail for the physics-based model, while the ANN can tolerate this exclusion.

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“…Three-dimensional (3D) models include computational-fluid-dynamics-based simulation and can incorporate more complex flow effects such as turbulence. 3D models have been used to study in-cylinder processes including fuel injection, spray and mixing, 46 unsteady flow in turbocharger compressors 47 and frictional losses in turbocharger bearings. 48 Moreover, a 3D computational fluid dynamics code representing incylinder processes and flow through the turbomachinery has also been integrated into an engine model, mostly based on 1D modelling.…”

Section: Modelling Approachesmentioning

confidence: 99%

A review of parallel and series turbocharging for the diesel engine

Zhang

Pennycott

Brace

2013

Proceedings of the Institution of Mechanical Engineers, Part D:

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Several turbocharger units can be used for engine boosting in series or parallel arrangements in which they are phased in and out according to the operating conditions of the engine. This technology has the potential to facilitate downsizing of automotive engines in order to yield benefits in terms of their transient performance, the fuel consumption and emissions output. This review investigates the benefits and drawbacks of series and parallel turbocharging arrangements. Since the effectiveness of using the boosting technology crucially depends on the control scheme applied, developments in the modelling and control approaches used in single-stage, series and parallel turbocharging are also examined. In comparison with single-stage turbocharging, using several turbochargers in series or parallel can provide a faster transient response without compromising the fuel consumption, while also having the potential to provide higher boost pressures. Novel non-linear and robust control approaches have demonstrated improvements in performance and robustness over traditional approaches used in commercial engine control relying on separate control loops for the different engine variables.

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In-cylinder CFD Simulation of a New 2.0L Turbo Charged GDI Engine

Cited by 7 publications

References 9 publications

Development and application of a computational fluid dynamics methodology to predict fuel–air mixing and sources of soot formation in gasoline direct injection engines

Development and application of a computational fluid dynamics methodology to predict fuel–air mixing and sources of soot formation in gasoline direct injection engines

Evaluation of control-oriented flame propagation models for production control of a spark-assisted compression ignition engine

A review of parallel and series turbocharging for the diesel engine

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