Design, Application, Performance and Emissions of Modern Internal Combustion Engine Systems and Components

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ISBN 13 :
Total Pages : 590 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Design, Application, Performance and Emissions of Modern Internal Combustion Engine Systems and Components by : American Society of Mechanical Engineers. Internal Combustion Engine Division. Technical Conference

Download or read book Design, Application, Performance and Emissions of Modern Internal Combustion Engine Systems and Components written by American Society of Mechanical Engineers. Internal Combustion Engine Division. Technical Conference and published by . This book was released on 2002 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Proceedings of the 2000 Fall Technical Conference of the ASME Internal Combustion Engine Division: Large bore engine designs, natural gas engines, and alternative fuels

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Publisher :
ISBN 13 :
Total Pages : 188 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Proceedings of the 2000 Fall Technical Conference of the ASME Internal Combustion Engine Division: Large bore engine designs, natural gas engines, and alternative fuels by : American Society of Mechanical Engineers. Internal Combustion Engine Division. Technical Conference

Download or read book Proceedings of the 2000 Fall Technical Conference of the ASME Internal Combustion Engine Division: Large bore engine designs, natural gas engines, and alternative fuels written by American Society of Mechanical Engineers. Internal Combustion Engine Division. Technical Conference and published by . This book was released on 2000 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Modelling Diesel Combustion

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Publisher : Springer Science & Business Media
ISBN 13 : 904813885X
Total Pages : 313 pages
Book Rating : 4.0/5 (481 download)

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Book Synopsis Modelling Diesel Combustion by : P. A. Lakshminarayanan

Download or read book Modelling Diesel Combustion written by P. A. Lakshminarayanan and published by Springer Science & Business Media. This book was released on 2010-03-03 with total page 313 pages. Available in PDF, EPUB and Kindle. Book excerpt: Phenomenology of Diesel Combustion and Modeling Diesel is the most efficient combustion engine today and it plays an important role in transport of goods and passengers on land and on high seas. The emissions must be controlled as stipulated by the society without sacrificing the legendary fuel economy of the diesel engines. These important drivers caused innovations in diesel engineering like re-entrant combustion chambers in the piston, lower swirl support and high pressure injection, in turn reducing the ignition delay and hence the nitric oxides. The limits on emissions are being continually reduced. The- fore, the required accuracy of the models to predict the emissions and efficiency of the engines is high. The phenomenological combustion models based on physical and chemical description of the processes in the engine are practical to describe diesel engine combustion and to carry out parametric studies. This is because the injection process, which can be relatively well predicted, has the dominant effect on mixture formation and subsequent course of combustion. The need for improving these models by incorporating new developments in engine designs is explained in Chapter 2. With “model based control programs” used in the Electronic Control Units of the engines, phenomenological models are assuming more importance now because the detailed CFD based models are too slow to be handled by the Electronic Control Units. Experimental work is necessary to develop the basic understanding of the pr- esses.

Simulation of the Diesel Engine Combustion Process Using the Stochastic Reactor Model

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Publisher : Logos Verlag Berlin
ISBN 13 : 9783832543105
Total Pages : 160 pages
Book Rating : 4.5/5 (431 download)

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Book Synopsis Simulation of the Diesel Engine Combustion Process Using the Stochastic Reactor Model by : Michal Pasternak

Download or read book Simulation of the Diesel Engine Combustion Process Using the Stochastic Reactor Model written by Michal Pasternak and published by Logos Verlag Berlin. This book was released on 2016 with total page 160 pages. Available in PDF, EPUB and Kindle. Book excerpt: The present work is concerned with the simulation of combustion, emission formation and fuel effects in Diesel engines. The simulation process is built around a zero-dimensional (0D) direct injection stochastic reactor model (DI-SRM), which is based on a probability density function (PDF) approach. An emphasis is put on the modelling of mixing time to improve the representation of turbulence-chemistry interactions in the 0D DI-SRM. The mixing time model describes the intensity of mixing in the gas-phase for scalars such as enthalpy and species mass fraction. On a crank angle basis, it governs the composition of the gas mixture that is described by PDF distributions for the scalars. The derivation of the mixing time is based on an extended heat release analysis that has been fully automated using a genetic algorithm. The predictive nature of simulations is achieved through the parametrisation of the mixing time model with known engine operating parameters such as speed, load and fuel injection strategy. It is shown that crank angle dependency of the mixing time improves the modelling of local inhomogeneity in the gas-phase for species mass fraction and temperature. In combination with an exact treatment of the non-linearity of reaction kinetics, it enables an accurate prediction of the rate of heat release, in-cylinder pressure and exhaust emissions, such as nitrogen oxides, unburned hydrocarbons and soot, from differently composed fuels. The method developed is particularly tailored for computationally efficient applications that focus on the details of reaction kinetics and the locality of combustion and emission formation in Diesel engines.

A Quasi-dimensional Charge Motion and Turbulence Model for Combustion and Emissions Prediction in Diesel Engines with a Fully Variable Valve Train

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Publisher :
ISBN 13 : 9783658357757
Total Pages : 0 pages
Book Rating : 4.3/5 (577 download)

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Book Synopsis A Quasi-dimensional Charge Motion and Turbulence Model for Combustion and Emissions Prediction in Diesel Engines with a Fully Variable Valve Train by : Qirui Yang

Download or read book A Quasi-dimensional Charge Motion and Turbulence Model for Combustion and Emissions Prediction in Diesel Engines with a Fully Variable Valve Train written by Qirui Yang and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Qirui Yang develops a model chain for the simulation of combustion and emissions of diesel engine with fully variable valve train (VVT) based on extensive 3D-CFD simulations, and experimental measurements on the engine test bench. The focus of the work is the development of a quasi-dimensional (QDM) flow model, which sets up a series of sub-models to describe phenomenologically the swirl, squish and axial charge motions as well as the shear-related turbulence production and dissipation. The QDM flow model is coupled with a QDM combustion model and a nitrogen oxides (NOx) / soot emission model. With the established model chain, VVT operating strategies of diesel engine can be developed and optimized as part of the simulation for specific engine performance parameters and the lowest NOx and soot emissions. Contents Fundamentals and state of the art Quasi-dimensional charge motion and turbulence model Coupling with a combustion model and an emission model Target Groups Researchers and students of mechanical engineering, especially automotive powertrains Research and development engineers in the fields of virtual engine development The Author Qirui Yang did his PhD project in the field of 0D/1D simulation of automotive powertrain at the Institute of Automotive Engineering (IFS) at University of Stuttgart. He works as a research engineer for simulation, project management and software development at the Research Institute FKFS in the field of Simulation and Artificial Intelligence of the Automotive Powertrain department.

Optimization Methods for the Mixture Formation and Combustion Process in Diesel Engines

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Publisher : Cuvillier Verlag
ISBN 13 : 373692724X
Total Pages : 266 pages
Book Rating : 4.7/5 (369 download)

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Book Synopsis Optimization Methods for the Mixture Formation and Combustion Process in Diesel Engines by : Jost Weber

Download or read book Optimization Methods for the Mixture Formation and Combustion Process in Diesel Engines written by Jost Weber and published by Cuvillier Verlag. This book was released on 2008-09-02 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: The optimization of the combustion and mixture formation process in Diesel engines by CFD simulations requires a reliable model approach as a pre-requisite in order to predict combustion and emissions. A general and commonly used model for the liquid spray is the discrete droplet model. Sub-models for droplet breakup, collision and coalescence, and evaporation are available in the CFD code. With regard to combustion, the flamelet model approach is interactively coupled with the CFD code, known as RIF model. It benefits from a one-dimensional description of the thin reaction zone in the flame. By this approach, a detailed reaction mechanism for the model fuel can be used. Sub-mechanisms for NOx formation and a soot model are included. The reaction mechanism has been modified in this work to account for a correct ignition delay and heat-release at low-temperature conditions e.g. in the PCCI combustion. The modeling of the mixture formation in a spray contains uncertainties in the model constants and initial conditions. Spray data is required to calibrate the spray model. At least, the spray penetration has to be measured under engine like conditions as performed in a spray chamber. The spray penetration is interpreted as a criterion for the mass and momentum exchange between the spray and the surrounding gas on a macroscopic level. Finding a good agreement for the spray penetration between simulation and experiment defines an optimization problem. That agreement is expressed in an Euclidean norm as a merit function. The objective is to minimize this merit function. The search for an appropriate set of spray model parameters and initial conditions is denoted here as calibration of the spray model. Six parameters have been identified, spanning a six dimensional parameter space. A manual search is not feasible anymore but the implemented Genetic Algorithm is suitable to find a global optimum where a good agreement between measured and simulated spray penetration is obtained. If the same spray parameters are applied to a virtual engine case, a similar good agreement is achieved although the mesh resolution is much finer and the mesh topology is different than for the spray chamber simulation. From this result, spray data for engine simulations should be provided and be used for sake of calibration before the engine simulation is conducted. Additionally data is obtained by PDA measurements at discrete points in the spray. That measurement technique is, however, limited to less dense areas. Nevertheless, it shows that also local data is in agreement with the simulation data. Agreement with spray penetration is thus a relatively good choice and accounts also for the physics on a local or microscopic level. That hypothesis is well supported by the data from the ethanol spray calibration. The excellent agreement with regard to the global spray penetration is reflected by the 2D comparison of liquid and vapor fuel concentrations and temperature, respectively. Furthermore, a similar good agreement in spray penetration is obtained if the breakup and collision model is not used. In that case, the spray penetration is only controlled by the evaporation process. The Genetic Algorithm finds a point in the parameter space with an initial SMR that is of the order of size of the outcome of the secondary droplet breakup. However in engine simulations, spray data is not always available. In that case the spray parameters have to be adjusted. That adjustment is carried out following a methodology that is presented in this work. Mainly, SOI and EGR variations have to be used to calibrated the spray and combustion model. That approach has been investigated for three different engine data sets for conventional and PCCI combustion mode. On the Cummins QSX engine, a conventional combustion has been studied. Spray parameters are subject of adjustment. On the Duramax 6600 Diesel engine, a conventional and PCCI combustion mode are investigated. For the PCCI combustion mode, the reaction mechanism is modified in order to account for a correct ignition delay in the low temperature combustion regime. The comparison between engine data and results from the simulation indicates a good agreement for the combustion and engineout emissions. On the Duramax full load case, most uncertainties are addressed to the spray-wall interaction. Uncertainties from physical not well based models will always occur in the engine simulation. Therefore, calibration of these models is a mean to quantify its influence and minimize the discrepancies.