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A phenomenological knock model for t...
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Fandakov, Alexander.
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A phenomenological knock model for the development of future engine concepts
Record Type:
Electronic resources : Monograph/item
Title/Author:
A phenomenological knock model for the development of future engine concepts/ by Alexander Fandakov.
Author:
Fandakov, Alexander.
Published:
Wiesbaden :Springer Fachmedien Wiesbaden : : 2019.,
Description:
xxxix, 233 p. :ill., digital ;24 cm.
[NT 15003449]:
Experimental Investigations and Thermodynamic Analysis -- Unburnt Mixture Auto-Ignition Prediction -- Knock Occurrence Criterion -- Knock Model Validation.
Contained By:
Springer eBooks
Subject:
Automobiles - Motors -
Online resource:
https://doi.org/10.1007/978-3-658-24875-8
ISBN:
9783658248758
A phenomenological knock model for the development of future engine concepts
Fandakov, Alexander.
A phenomenological knock model for the development of future engine concepts
[electronic resource] /by Alexander Fandakov. - Wiesbaden :Springer Fachmedien Wiesbaden :2019. - xxxix, 233 p. :ill., digital ;24 cm. - Wissenschaftliche reihe fahrzeugtechnik universitat stuttgart,2567-0042. - Wissenschaftliche reihe fahrzeugtechnik universitat stuttgart..
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.
ISBN: 9783658248758
Standard No.: 10.1007/978-3-658-24875-8doiSubjects--Topical Terms:
3383186
Automobiles
--Motors
LC Class. No.: TL210 / .F363 2019
Dewey Class. No.: 629.25
A phenomenological knock model for the development of future engine concepts
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Wissenschaftliche reihe fahrzeugtechnik universitat stuttgart,
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Experimental Investigations and Thermodynamic Analysis -- Unburnt Mixture Auto-Ignition Prediction -- Knock Occurrence Criterion -- Knock Model Validation.
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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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Engineering (Springer-11647)
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EB TL210 .F363 2019
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