Numerical Modeling of Turbulent Combustion

Erscheinungsjahr 2025
ISBN: 978-0-443-29158-6
Verlag: Elsevier Science

Buch, Englisch, 572 Seiten, Format (B × H): 152 mm x 221 mm, Gewicht: 907 g

Numerical Modeling of Turbulent Combustion provides readers with a comprehensive understanding of the specificities involved in numerical simulation of gaseous turbulent reactive flows and flames, including their most current applications. This title is intended for individuals with a background in fluid mechanics who are seeking to delve into the fundamentals of turbulent combustion modeling. It offers methodologies to simulate flames while taking into account their multi-physics character. Moreover, the text addresses emerging numerical technologies within this field and highlights the relevance of new sustainable fuels. The structure of the book is carefully organised to cover various aspects. It begins with an exploration of the fundamentals of aerothermochemistry, presenting key quantities and their corresponding balance equations that require numerical solutions. The book then delves into the essential concepts and tools necessary to handle the strongly non-linear nature of turbulent flames, with a specific focus on the interplay between turbulence and chemistry. Furthermore, readers will gain insights into the numerical modeling of flames within the context of sustainable combustion. This includes the introduction of novel fuels, such as hydrogen and solid metals, which have become increasingly relevant in recent times. The book also takes into account cutting-edge techniques, like the systematic integration of machine learning in numerical simulations of complex systems and the lattice Boltzmann approach. These innovations open new possibilities for tackling challenges in numerical turbulent combustion research. Both the fundamental methods and modeling tools are presented in detail, along with best practice guidelines for their practical application in simulations. This ensures that readers not only grasp the underlying theories but also gain valuable insights into how to implement these techniques effectively. Overall, Numerical Turbulent Combustion serves as a valuable resource for researchers and practitioners alike, offering a comprehensive and up-to-date understanding of numerical simulations in the field of turbulent combustion.

Autoren/Hrsg.

Vervisch, Luc

Domingo, Pascale

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde Strömungslehre
• Technische Wissenschaften Technik Allgemein Modellierung & Simulation
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Numerische Mathematik
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle

Inhaltsverzeichnis

1. Aerothermochemistry and scalars dynamics in turbulent flame modeling
2. Fundamental and tools for turbulent combustion modeling
3. Solid fuel combustion modeling
4. Soot modeling and Flame synthesis of nanostructured materials
5. Radiation and heat transfer modeling in combustion
6. Flame front capturing and flame surface density
7. Modeling needs for MILD combustion
8. Flamelet modeling and presumed PDF
9. Conditional Moment Closure
10. PDF transport
11. LBM method for combustion
12. Machine learning for combustion modeling

Über Autor(innen)

Domingo, Pascale
Pascale Domingo?is a combustion?physicist and?aero-thermochemist?who uses direct and?large eddy simulation?to study flames and reactive flows in?turbulent?fuel-air mixtures. She is a director of research for the?French National Centre for Scientific Research?(CNRS) and is affiliated with the CNRS CORIA laboratory. Pascale Domingo completed a Ph.D. in the modeling of plasma flow physics in 1991 at the?University of Rouen Normandy, followed by a postdoctoral position in the Aeronautics and Astronautics department of?Stanford University. Domingo was elected to the 2019 class of Fellows of The Combustion Institute, "for excellent contributions to the numerical simulation of flames including hybrid combustion regimes predicting major and minor chemical species".