 # JNTUH B.TECH R18 4-1 Syllabus For computational fluid dynamics PDF 2022

### Get Complete Lecture Notes for computational fluid dynamics on Cynohub APP  You will be able to find information about computational fluid dynamics along with its Course Objectives and Course outcomes and also a list of textbook and reference books in this blog.You will get to learn a lot of new stuff and resolve a lot of questions you may have regarding computational fluid dynamics after reading this blog. computational fluid dynamics has 5 units altogether and you will be able to find notes for every unit on the CynoHub app. computational fluid dynamics can be learnt easily as long as you have a well planned study schedule and practice all the previous question papers, which are also available on the CynoHub app.

All of the Topic and subtopics related to computational fluid dynamics are mentioned below in detail. If you are having a hard time understanding computational fluid dynamics or any other Engineering Subject of any semester or year then please watch the video lectures on the official CynoHub app as it has detailed explanations of each and every topic making your engineering experience easy and fun.

### computational fluid dynamics Unit One

#### UNIT – I:

Basic Aspects of the Governing Equations – Physical Boundary Conditions – Methods of solutions of Physical Problems – Need for Computational Fluid Dynamics – Different numerical/CFD techniques – FDM, FEM, FVM etc., – Main working principle – CFD as a research and design tool – Applications in various branches of Engineering
Mathematical behavior of Partial Differential Equations (Governing Equations): Classification of linear/ quasi linear PDE – Examples – Physical Processes: Wave Equations and Equations of Heat Transfer and Fluid Flow – Mathematical Behavior – General characteristics – Its significance in understanding the physical and numerical aspects of the PDE – One way and Two Way variables – Well posed problems – Initial and Boundary Conditions
Solution of Simultaneous Algebraic Equations: Direct Method – Gauss Elimination – LU Decomposition
Pivoting – Treatment of Banded Matrices – Thomas Algorithm Iterative Method: Gauss Seidel and Jordan Methods – Stability Criterion

### computational fluid dynamics Unit Two

#### UNIT – II:

Finite Difference Method: Basic aspects of Discretization – Finite Difference formulae for first order and second order terms – Solution of physical problems with Elliptic type of Governing Equations for different boundary conditions – Numerical treatment of 1D and 2D problems in heat conduction, beams etc., – Solutions –Treatment of Curvelinear coordinates – Singularities – Finite Difference Discretization
Solution of 1D heat conduction problems in Heat conduction in curve linear coordinates

UNIT – III:

### Get Complete Lecture Notes for computational fluid dynamics on Cynohub APP  ### computational fluid dynamics Unit Three

#### UNIT – III:

FDM: Solution of physical problems with Parabolic type of Governing Equations – Initial Condition – Explicit, implicit and semi implicit methods – Types of errors – Stability and Consistency – Von Neumann Stability criterion– Solution of simple physical problems in 1D and 2D – Transient Heat conduction problems- ADI scheme – Simple Hyperbolic type PDE – First order and Second order wave equations – Discretization using Explicit method – Stability criterion – Courant Number – CFL Condition – Its significance – Treatment of simple problems

### computational fluid dynamics Unit Four

#### UNIT – IV:

Finite Difference Solution of Unsteady Inviscid Flows: Lax – Wendroff Technique – Disadvantages – Maccormack’s Technique
Fluid Flow Equations – Finite Difference Solutions of 2D Viscous Incompressible flow problems – Vorticity and Stream Function Formulation – Finite Difference treatment of Lid Driven Cavity Problem – Application to Cylindrical Coordinates with example of flow over infinitely long cylinder and sphere – Obtaining Elliptic Equations

### computational fluid dynamics Unit Five

#### UNIT – IV:

Finite Difference Applications in Fluid flow problems: Fundamentals of fluid Flow modeling using Burger’s Equation – Discretization using FTCS method with respect to Upwind Scheme and Transport Property – Upwind Scheme and Artificial Viscosity
Solutions of Navier Stokes Equations for Incompressible Fluid Flows: Staggered Grid – Marker and Cell (MAC) Formulation – Numerical Stability Considerations – Pressure correction method – SIMPLE Algorithm

### computational fluid dynamics Course Objectives

To apply the principles of Heat Transfer and Fluid Mechanics to formulate governing equations for physical problems and to solve those using different numerical techniques

### computational fluid dynamics Course Outcomes

At the end of the course, the student should be able to:
Differentiate between different types of Partial Differential Equations and to know and understand appropriate numerical techniques.
Solve the simple heat transfer and fluid flow problems using different numerical techniques, viz., FDM.
Understand and to appreciate the need for validation of numerical solution.

### computational fluid dynamics Text Books

Computational Fluid Dynamics: The basics with applications/ John D Anderson/McGraw Hill Publications
Numerical Heat Transfer and Fluid Flow/ S.V. Patankar/ Mc Graw Hill

### computational fluid dynamics Reference Books

Computational Fluid Flow and Heat Transfer / K Muralidharan and T Sudarajan/ Narosa Publishers.
Computational Methods for Fluid Dynamics / Firziger & Peric/ Springer

### Scoring Marks in computational fluid dynamics

Information about JNTUH B.Tech R18 computational fluid dynamics was provided in detail in this article. To know more about the syllabus of other Engineering Subjects of JNTUH check out the official CynoHub application. Click below to download the CynoHub application.

### Get Complete Lecture Notes for computational fluid dynamics on Cynohub APP  ## Comment (1)

1. ###### Akhil

Where I find the computational fluid dynamics lecture notes

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