Computational Fluid Dynamics & Its Application.pptx

Computational Fluid Dynamics & Its Application

1. A SEMINAR ON Topic: Computational Fluid Dynamics & Its Application Presented By: Hariom Jaiswal (2101200566005) M. Pharm (Pharmaceutics) 1 st Year / 2 st 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

11. References: www.google.com Fluent Inc.: http://www.fluent.com https://www.slideshare.net/taani46853/computational-fluid-dynamics-cfd https://www.slideshare.net/BhavanakanwarRao/computational-fluid-dynamics-cfd-138911083 https://www.slideshare.net/hashimhasnainhadi /introduction-to-computational-fluid-dynamics-cfd-73955156 www .wikepida.com