1D Modeling of Alternative Fuels Spray in a Compression Ignition Engine Using Injection Rate Shaping Strategy

Mancaruso, Ezio; Perozziello, Carmela; Sequino, Luigi

doi:10.4271/2019-24-0132

Cited by 2 publications

(1 citation statement)

References 47 publications

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“…In the event of multiple injections such as pilot or post injections, the model presents no substantial modifications to the described scheme and subsequent sprays are injected on the same numerical domain. This assumption is a simplification compared to experimental studies that show that cones of successive injections are slightly wider, 40 as modeled in Skeen et al 32 and Mancaruso et al 41 However, this simplification is adopted for at least three reasons: (a) changing the numerical domain could result in numerical instabilities in the computation of the multi-zone mass exchanges; (b) the modification of the cone between injections is still a matter of active research, thus it is quantitively still unclear for real-engine applications; (c) the authors observed that even keeping the same spreading angle, the overall effect on combustion is still well captured (as discussed for the ECN Spray A with split injection experiment at the beginning of the results section).…”

Section: Model Descriptionmentioning

confidence: 99%

Detailed prediction of HRR and NOx emissions in CI engines via a novel thermodynamic model with constant equivalence ratio zones

Tamborski

D’Errico

Lucchini

et al. 2022

International Journal of Engine Research

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This paper presents a novel, quasi dimensional-model for the simulation of the combustion process in compression-ignition engines. The model discretizes with a multiple number of zones the in-cylinder air-fuel mass on fixed values of local equivalence ratio, with the charge stratification determined from a 2D reconstruction via a one-dimensional control-volume-based spray approach. Reacting multi-zones are further split into three conceptual sub-zones: liquid, unburnt vapor and burnt vapor, in which chemical reactions proceed according to a tabulated kinetics of ignition (TKI) model. This approach provides a simple methodological framework for the combustion of direct injection of virtually every kind of liquid fuel and relies on a detailed phenomenological chemical/physical link of jet’s reacting phenomena. To account for engine geometry, a spray-wall interaction sub-model has been added to the axial spray. The model has been validated against experimental data and detailed CFD simulation results. First, the direct injection model (as a free jet) has been assessed with respect to ECN sprays A, C, and D experiments. For both the long injection and split injection cases, all the combustion phases are well predicted: premixed peak, mixing-controlled combustion, burn-out are seamlessly described and in good agreement with experimental and detailed CFD data. The wall interaction sub-model was validated with a suitable experiment where a reacting jet impinges on a mock-up wall inside a combustion vessel. Finally, the model has been validated against real heavy-duty engine experimental observations of 151 points of a complete engine map. The tuning of the model consists in two parameters, that are engine-specific, hence constant for the whole map. With these assumptions, the AHRR traces are well described in all simulated conditions. Mean predicted BSFC is only slightly underestimated (−2.3%), as it is the NOx production (−1.6%).

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Section: Model Descriptionmentioning

confidence: 99%

Detailed prediction of HRR and NOx emissions in CI engines via a novel thermodynamic model with constant equivalence ratio zones

Tamborski

D’Errico

Lucchini

et al. 2022

International Journal of Engine Research

View full text Add to dashboard Cite

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Infrared Imaging in Internal Combustion Engines: Advanced Techniques for Vapor Phase Visualization and CO2 Detection

Mancaruso

Sequino

Vaglieco

2020

J. Phys.: Conf. Ser.

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As the technical level of modern engines increases to fulfill the emissions requirements, the techniques used to investigate in-cylinder phenomena need to update and to improve. Optical diagnostics provide precious information about the injection and combustion processes. To visualize the fuel vapor phase, a light source with specific wavelength and energy is needed; multiple optical accesses and additional optical components are required; the techniques are susceptible to the directionality of the light source and to the fuel composition. Recently, Infrared imaging has been used to overcome some of the drawbacks of well-known optical techniques. A peculiarity of infrared imaging is the ability to detect the energy emitted by a body as electromagnetic waves, from 0.76 to 1000 μm wavelength. This work illustrates the application of infrared imaging in a compression ignition engine for the analysis of the injection and combustion processes. The diesel fuel vapor penetration is experimentally measured and then compared to a 1d model of spray injection. Another application of IR can be the evaluation of the CO2 in the cylinder, that is a key species in the combustion process, the wavelength of 4.2 μm, relative to the asymmetric stretch of this molecule, is investigated to follow its distribution within the cylinder for different, conventional and non-conventional combustion modes.

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1D Modeling of Alternative Fuels Spray in a Compression Ignition Engine Using Injection Rate Shaping Strategy

Cited by 2 publications

References 47 publications

Detailed prediction of HRR and NOx emissions in CI engines via a novel thermodynamic model with constant equivalence ratio zones

Detailed prediction of HRR and NOx emissions in CI engines via a novel thermodynamic model with constant equivalence ratio zones

Infrared Imaging in Internal Combustion Engines: Advanced Techniques for Vapor Phase Visualization and CO2 Detection

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