1d Engine Simulation

Advanced 1D engine cycle simulation software used throughout the IC engine industry Library of elements for modeling flow and combustion in engines Intake and exhaust design for noise reduction, engine boosting (turbocharger, supercharger), variable valve timing system design, thermal analysis, combustion, and emissions predictions. Mostly based on 1D adiabatic m ean value engine models for the in. A mathematical model of the engine with a more appropriate intake was made in the engine simulation code in order to.

The paper analyses, by means of a parallel experimental and computational investigation, the performances of a small HSDI turbocharged Diesel engine. As far as the numerical approach is concerned, an in-house ID research code for the simulation of the whole engine system has been enhanced by the introduction of a multi-zone quasi-dimensional combustion model, tailored for multi-jet direct injection Diesel engines. This model takes into account the most relevant issues of the combustion process: the spray development, the in-cylinder air-fuel mixing process, the ignition and formation of the main pollutant species, such as nitrogen oxides and particulate. The prediction of the spray basic patterns requires the previous knowledge of the fuel injection rate. Since the direct measure of this quantity at each operating condition is not a very practical proceeding, an empirical model has been developed in order to provide reasonably accurate injection laws from a few experimental characteristic curves. The results of the simulation at full load are compared to experiments, showing a good agreement on brake performance and emissions. Furthermore, the combustion model tuned at full load has been applied without any change to the analysis of some operating conditions at partial load. Still, the numerical simulation provided results which qualitatively agree with experiments.

2020-09-15
In the recent years, the interest in heavy-duty engines fueled with Compressed Natural Gas (CNG) is increasing due to the necessity to comply with the stringent CO2 limitation imposed by national and international regulations. Indeed, the reduced number of carbon atoms of the NG molecule allows to reduce the CO2 emissions compared to a conventional fuel. The possibility to produce synthetic methane from renewable energy sources, or bio-methane from agricultural biomass and/or animal waste, contributes to support the switch from conventional fuel to CNG.
To drive the 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 so on. The present work is focused on the improvement of the combustion model of natural gas spark ignition engines suitable for 1D simulation. To this aim, an extensive experimental campaign of a SI engine, customized for CNG use, is carried out at various speeds and loads, in which global engine performance and cylinder pressure traces are recorded and analyzed. Subsequently, a 1D model of the tested engine is implemented in a commercial tool and integrated with “in-house developed” sub-models for the description of in-cylinder phenomena, such as combustion, turbulence and heat transfer.
1d engine simulation software

1d Engine Simulation

The proposed numerical approach, extensively validated in the past for gasoline fueled engines, shows here the ability to reproduce with good accuracy the performance of a heavy-duty CNG fueled engine, too. In particular, the in-cylinder pressure traces, burn rates and main performance parameters, are well predicted in its whole operating plane, without requiring a case-dependent tuning.
Engine
DOI: https://doi.org/10.4271/2020-01-2079
Citation: Riccardi, M., Tufano, D., Beatrice, C., Bozza, F. et al., 'Toward Predictive Combustion Modeling of CNG SI Engines in 1D Simulation Tools,' SAE Technical Paper 2020-01-2079, 2020, https://doi.org/10.4271/2020-01-2079.
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Author(s): Marco Riccardi, Daniela Tufano, Carlo Beatrice, Fabio Bozza, Vincenzo De Bellis, Pierpaolo Napolitano

1d Engine Simulation Definition

Affiliated: University of Naples/Istituto Motori CNR, University of Naples Federico II
1d engine performance simulation
Event: SAE Powertrains, Fuels & Lubricants Meeting
e-ISSN: 2688-3627
Simulation
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1d Engine Simulation Software

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