Introduction to Computational Fluid Dynamics Introduction to Computational Fluid Dynamics
essentials

Introduction to Computational Fluid Dynamics

    • 9,99 €
    • 9,99 €

Publisher Description

The properties and effects of flows are important in many areas of science and engineering - their prediction can be achieved through analytical, experimental and computational fluid mechanics. In this essential, Karim Ghaib introduces computational fluid dynamics. After an overview of mathematical principles, the author formulates the conservation equations of fluid mechanics and explains turbulence models. He describes the most important numerical methods and then gives types and evaluation criteria of computational meshes. This essential book is thus recommended to both the beginner and the user in the field of computational fluid dynamics.

 The content
Mathematical basicsConservation equationsTurbulent flowsDiscretization of the conservation equationsComputer network
The target groups
Lecturers and students of chemical engineering, process engineering and mechanical engineering Practitioners who want to use computational fluid dynamics
The author

Karim Ghaib studied chemical engineering with a focus on process engineering at Münster University of Applied Sciences. He currently works for one of the market leaders in the field of catalysis research and development.

This book is a translation of an original German edition. The translation was done with the help of artificial intelligence (machine translation by the service DeepL.com). A subsequent human revision was done primarily in terms of content, so that the book will read stylistically differently from a conventional translation.

GENRE
Science & Nature
RELEASED
2022
9 September
LANGUAGE
EN
English
LENGTH
100
Pages
PUBLISHER
Springer Fachmedien Wiesbaden
SIZE
3.7
MB

More Books by Karim Ghaib

Heat Capacity of Pure Fluids Heat Capacity of Pure Fluids
2021
Density of Pure Fluids Density of Pure Fluids
2021
Einführung in die numerische Strömungsmechanik Einführung in die numerische Strömungsmechanik
2019
Das Power-to-Methane-Konzept Das Power-to-Methane-Konzept
2017

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