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Turbulent Combustion Modeling

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Cover of 'Turbulent Combustion Modeling'

Table of Contents

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    Book Overview
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    Chapter 1 The Role of Combustion Technology in the 21st Century
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    Chapter 2 Turbulent Combustion: Concepts, Governing Equations and Modeling Strategies
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    Chapter 3 The Flamelet Model for Non-Premixed Combustion
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    Chapter 4 RANS and LES Modelling of Premixed Turbulent Combustion
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    Chapter 5 The Conditional Moment Closure Model
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    Chapter 6 Transported Probability Density Function Methods for Reynolds-Averaged and Large-Eddy Simulations
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    Chapter 7 Multiple Mapping Conditioning: A New Modelling Framework for Turbulent Combustion
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    Chapter 8 The Emerging Role of Multiscale Methods in Turbulent Combustion
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    Chapter 9 Model Reduction for Combustion Chemistry
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    Chapter 10 The Linear-Eddy Model
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    Chapter 11 The One-Dimensional-Turbulence Model
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    Chapter 12 Unsteady Flame Embedding
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    Chapter 13 Adaptive Methods for Simulation of Turbulent Combustion
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    Chapter 14 Turbulent Combustion Modeling
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    Chapter 15 Design of Experiments for Gaining Insights and Validating Modeling of Turbulent Combustion
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    Chapter 16 Uncertainty Quantification in Fluid Flow
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    Chapter 17 Computational Frameworks for Advanced Combustion Simulations
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    Chapter 18 The Heterogeneous Multiscale Methods with Application to Combustion
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    Chapter 19 Lattice Boltzmann Methods for Reactive and Other Flows
Attention for Chapter 3: The Flamelet Model for Non-Premixed Combustion
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Chapter title
The Flamelet Model for Non-Premixed Combustion
Chapter number 3
Book title
Turbulent Combustion Modeling
Published by
Springer, Dordrecht, January 2011
DOI 10.1007/978-94-007-0412-1_3
Book ISBNs
978-9-40-070411-4, 978-9-40-070412-1
Authors

Bénédicte Cuenot, Cuenot, Bénédicte

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Korea, Republic of 1 6%
Unknown 16 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 7 41%
Student > Bachelor 3 18%
Student > Master 3 18%
Researcher 2 12%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 1 6%
Readers by discipline Count As %
Engineering 11 65%
Chemical Engineering 2 12%
Physics and Astronomy 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Unknown 2 12%