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ME833 Computational Fluid Dynamics II

Campus

College of E&ME

Programs

PG

Session

Spring Semester 2017

Course Title

Computational Fluid Dynamics II

Course Code

ME833

Credit Hours

30

PreRequisutes

Computational Fluid Dynamics I

Course Objectives

This course on Computational Fluid Dynamics aims to introduce the students to the techniques on understanding the flow physics and numerical solution techniques for unsteady turbulent flows. Initial part of this course covers the fundamental aspect related to the nature and different types of turbulent flows. In the later part, the numerical techniques to simulate turbulent flows are discussed which include DNS, LES and turbulent modeling (RANS). Finally, a brief introduction to different statistical properties of turbulent flows are discussed which are used to characterize turbulence in different flows.

Detail Content

 Introduction to Turbulence, Laminar to Turbulent transition.
 Characteristics of turbulence in fullydeveloped channel flow.
 Advanced solution techniques for solving unsteady turbulent flows (DNS,LES) : Basic concepts, governing equations, different models and limitations.
 Turbulence Modeling: turbulent viscosity hypothesis; closure problem, overview and governing equations of different turbulence models.
 Turbulent Statistics: Introduction to different statistical properties to characterize turbulence

Text/Ref Books

 S. B. Pope, “Turbulent Flows”, Cambridge University Press, 2003.
 H. Tennekes and J. L. Lumley, “A First Course in Turbulence”, MIT, 1972.
 J. Versteeg H. K. and Malalasekera W., “Linear Control System, Analysis and Design”, An Introduction to Computational Fluid Dynamics: The Finite Volume Method, Second Edition.
 U. Frisch, “Turbulence”, Cambridge University Press, 1995.
 D. C. Wilcox, “Turbulence Modeling for CFD”, 1st edition, DCW Industries Inc., La Canada CA, 1993.

Time Schedule

Spring Semester 2017

Faculty/Resource Person

Tariq Talha, PhD
PhD (University of Warwick) UK
Discipline: Mechanical Engineering
Specialization: Computational Fluid Dynamics, Turbulence, Flow Control.

