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A Phenomenological Knock Model for the Development of Future Engine Concepts / by Alexander Fandakov.

By: Fandakov, Alexander., autor
Contributor(s): SpringerLink (Online service)
Series: (Engineering (Springer-11647)); (Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart, 2567-0042).Publisher: Wiesbaden : Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg, 2019Description: 1 recurso en línea (XXXIX, 233 páginas) : 1 ilustraciones.ISBN: 9783658248758.Subject: Automóviles -- MotoresOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Experimental Investigations and Thermodynamic Analysis -- Unburnt Mixture Auto-Ignition Prediction -- Knock Occurrence Criterion -- Knock Model Validation.
Abstract: The majority of 0D/1D knock models available today are known for their poor accuracy and the great effort needed for their calibration. Alexander Fandakov presents a novel, extensively validated phenomenological knock model for the development of future engine concepts within a 0D/1D simulation environment that has one engine-specific calibration parameter. Benchmarks against the models commonly used in the automotive industry reveal the huge gain in knock boundary prediction accuracy achieved with the approach proposed in this work. Thus, the new knock model contributes substantially to the efficient design of spark ignition engines employing technologies such as full-load exhaust gas recirculation, water injection, variable compression ratio or lean combustion. Contents Experimental Investigations and Thermodynamic Analysis Unburnt Mixture Auto-Ignition Prediction Knock Occurrence Criterion Knock Model Validation Target Groups Researchers and students in the field of automotive engineering, especially internal combustion engine simulation and modeling Automotive powertrain developers and automotive engineers in general About the Author Alexander Fandakov holds a PhD in automotive powertrain engineering from the Institute of Internal Combustion Engines and Automotive Engineering (IVK) at the University of Stuttgart, Germany. Currently, he is working as an advanced powertrain development engineer in the automotive industry.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería TL210 2019 EB (Browse shelf(Opens below)) Acceso electrónico eBooks24062683
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Experimental Investigations and Thermodynamic Analysis -- Unburnt Mixture Auto-Ignition Prediction -- Knock Occurrence Criterion -- Knock Model Validation.

The majority of 0D/1D knock models available today are known for their poor accuracy and the great effort needed for their calibration. Alexander Fandakov presents a novel, extensively validated phenomenological knock model for the development of future engine concepts within a 0D/1D simulation environment that has one engine-specific calibration parameter. Benchmarks against the models commonly used in the automotive industry reveal the huge gain in knock boundary prediction accuracy achieved with the approach proposed in this work. Thus, the new knock model contributes substantially to the efficient design of spark ignition engines employing technologies such as full-load exhaust gas recirculation, water injection, variable compression ratio or lean combustion. Contents Experimental Investigations and Thermodynamic Analysis Unburnt Mixture Auto-Ignition Prediction Knock Occurrence Criterion Knock Model Validation Target Groups Researchers and students in the field of automotive engineering, especially internal combustion engine simulation and modeling Automotive powertrain developers and automotive engineers in general About the Author Alexander Fandakov holds a PhD in automotive powertrain engineering from the Institute of Internal Combustion Engines and Automotive Engineering (IVK) at the University of Stuttgart, Germany. Currently, he is working as an advanced powertrain development engineer in the automotive industry.

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