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A Phenomenological Knock Model for the Development of Future Engine Concepts (Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart) by Alexander Fandakov is a nonfiction available to read on EtoBox.
What is A Phenomenological Knock Model for the Development of Future Engine Concepts (Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart) about?
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
Who reads A Phenomenological Knock Model for the Development of Future Engine Concepts (Wissenschaftliche Reihe Fahrzeugtechnik Universität Stuttgart)?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Alexander Fandakov
- Publisher
- Springer Fachmedien Wiesbaden : Imprint: Springer Vieweg
- Published
- 2019
- Language
- EN
- ISBN
- 9783658248758
- Category
- nonfiction
- Subjects
- Engineering, Technology, Computer Science
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