The document presents a seminar on computational fluid dynamics (CFD) and its applications. CFD is introduced as the science of predicting fluid flow, heat transfer, chemical reactions, and related phenomena by numerically solving governing equations. The seminar covers the introduction and purpose of CFD, how it works by discretizing equations, its advantages like low cost and speed, disadvantages like reliance on models and potential errors, and applications in fields like aerospace, automotive, and biomedical.
Model Call Girl in Tilak Nagar Delhi reach out to us at 🔝9953056974🔝
CFD Seminar on Applications
1. A
SEMINAR ON
Topic: Computational Fluid Dynamics & Its Application
Presented By:
Hariom Jaiswal (2101200566005)
M. Pharm (Pharmaceutics)
1st Year / 2st Sem
(2021-22)
INSTTITUTE OF TECHNOLOGY OF MANAGEMENT
GIDA, GORAKHAPUR, U.P
2. CONTENT:
Introduction of CFD
Why Use CFD ?
Purpose and Aim
How to Work CFD ?
Advantage
Disadvantage
Application
References
3. Introduction of Computational Fluid Dynamics:
Computational fluid dynamics (CFD) is the science of
predicting flow, heat transfer, chemical reactions, and related
phenomena by solving the mathematical equations which
govern these processes using a numerical process.
The governing equations are based on conservation of mass,
momentum ,energy chemical species etc.
The result of CFD analysis is relevant engineering data used
in:
Conceptual studies of new designs
Detailed product development
Redesign
4. Why Use CFD ?
CFD is alternative to experiment that are expensive, time
consuming, difficult dangerous or impossible and also to
theoretical methods which can tackle only simplied cases.
CFD complements experiment and theory.
CFD is used design & development, for research and in
educations.
The use of CFD has steadily increased in design: currently
upto 40%
5. Purpose and Aim:
Analysis and Design
Simulation- based design instead of “build and test”
-More cost effectively and more rapidly than with experiment.
-CFD solution provides high-fidelity database for interrogation
of flow field.
Simulation of physical Fluid phenomena that are difficult to be
measured by experiment
-Scale simulation (e.g.., full scale ships airplanes)
-hazards (e.g.., explosions, radiation, pollution)
6. How it Work of CFD ?
Analysis begins with a mathematical model of a physical
problem.
Conservation of matter, momentum , and energy must be
satisfied throughout the region of interest ( Continuity,
Momentum equation and energy equation).
Fluid properties are modeled empirically.
Simplifying assumptions are made in order to make the
problem tractable (e.g., steady-state incompressible, inviscid,
two- dimensional etc.)
7. Appropriate initial and boundary conditions are provided for
the problem.
CFD applies numerical method called discretization to
develop approximations of governing equation of fluid
mechanics in the fluid region of interest.
The solution is post- processed to extract quantities of interest
(e.g., lift, drug torque, heat transfer, separation, pressure loss
etc.)
8. Advantage of CFD:
Relatively low cost: CFD simulations are relatively
inexpensive , and costs are likely to decrease as computers
become more powerful.
Speed: CFD simulations can be executed in a short period of
time.
Ability to simulate real conditions: CFD provides the ability
to theoretically simulate any physical condition.
Comprehensive information: CFD allow the analyst to
examine a large number of locations in the region of interest,
and yield a comprehensive set of flow parameters of
examination.
9. Disadvantage of CFD:
Physical models: The CFD solutions can only be as accurate as
the physical models on which they are based.
Numerical errors: Solving equations on a computer invariably
introduces numerical errors.
Boundary conditions: As with physical models, the accuracy
of the CFD solution is only as good as the initial/ boundary
conditions provided to the numerical model
10. Applications of CFD:
Aerospace
Automotive
Biomedical
Chemical Processing
HVAC
Hydraulics
Marine
Oil & Gas
Power Generation
Sports