B.E. Mechanical Engineering:Computational Fluid Dynamics

Thapar University
In Patiala

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Important information

  • Bachelor
  • Patiala
  • Duration:
    4 Years
Description

Important information
Venues

Where and when

Starts Location
On request
Patiala
Thapar University P.O Box 32, 147004, Punjab, India
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Course programme

First Year: Semester I

Mathematics I
Engineering graphics
Computer Programming
Physics
Solid Mechanics
Communication Skills


First Year: Semester-II

Mathematics II
Manufacturing Process
Chemistry
Electrical and Electronic Science
Thermodynamics
Organizational Behavior


Second Year- Semester - I


Numerical and Statistical Methods
Fluid Mechanics
Material Science and Engineering
Kinematics of Machines
Machine Drawing
Mechanics of Deformable Bodies
Environmental Studies


Second Year- Semester – II

Optimization Techniques
Measurement Science and Techniques
Power Generation and Economics
Machine Design – I
Dynamics of Machines
Computer Aided Design
Human Values, Ethics and IPR
Measurement and Metrology Lab


Third Year- Semester – I

Manufacturing Technology
Applied Thermodynamics
Industrial Metallurgy and Materials
Machine Design – II
Industrial Engineering
Total Quality Management
Summer Training(6 Weeks during summer vacations after 2nd year)


Third Year- Semester – II

Project Semester
Project
Industrial Training (6 Weeks )


Fourth Year- Semester – I

Machining Science
Heat and Mass Transfer
Automobile Engineering
Computer Aided Manufacturing
Production Planning and Control
Mechanical Vibrations and Condition Monitoring


Fourth Year- Semester – II

Engineering Economics
Turbomachines
Refrigeration and Air Conditioning
Mechatronics

Computational Fluid Dynamics

Introduction: Motivation and role of computational fluid dynamics; concept of modeling and simulation.

Governing Equations of Fluid Dynamics: Continuity equation; momentum equation; energy equation; various simplifications; dimensionless equations and parameters; convective and conservation forms; incompressible invicid flows Basic flows; source panel method; vortex panel method.

Nature of Equations: Classification of PDE, general behavior of parabolic, elliptic and hyperbolic equations; boundary and initial conditions.

Finite Difference Method: Discretization; various methods of finite differencing; stability; method of solutions.

Incompressible Viscous Flows: Stream function-vorficity formulation; primitive variable formulation; solution for pressure; applications to internal flows and boundary layer flows.

Finite Element Method: Introduction; variational and weighted residual formulations; different types of elements; shape functions; local and global formulations; applications to single flow problems.


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