Overview
- A substantial contribution to the predictive quasi-dimensional spark ignition engine simulation
Part of the book series: Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart (WRFUS)
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Table of contents (8 chapters)
Keywords
About this book
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.
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.
Authors and Affiliations
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.
Bibliographic Information
Book Title: A Phenomenological Knock Model for the Development of Future Engine Concepts
Authors: Alexander Fandakov
Series Title: Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart
DOI: https://doi.org/10.1007/978-3-658-24875-8
Publisher: Springer Vieweg Wiesbaden
eBook Packages: Engineering, Engineering (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wiesbaden GmbH, part of Springer Nature 2019
Softcover ISBN: 978-3-658-24874-1Published: 08 January 2019
eBook ISBN: 978-3-658-24875-8Published: 28 December 2018
Series ISSN: 2567-0042
Series E-ISSN: 2567-0352
Edition Number: 1
Number of Pages: XXXIX, 233
Number of Illustrations: 1 b/w illustrations
Topics: Automotive Engineering, Engine Technology, Simulation and Modeling
Industry Sectors: Aerospace, Automotive, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Engineering, IT & Software, Law, Materials & Steel, Oil, Gas & Geosciences, Telecommunications