Introduction to CFD & HT
Computational Fluid Dynamics (CFD) leverages numerical methods and algorithms to analyze fluid flows and heat transfer, emphasizing the importance of conservation laws. The chapter covers the core steps in CFD analysis, including defining the physical domain, discretization, and post-processing, while also discussing various boundary conditions that ensure simulation accuracy. Numerous applications of CFD in diverse fields such as thermal machines, fluid machines, and environmental engineering are highlighted, illustrating its critical role in optimizing performance and safety across industries.
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What we have learnt
- CFD employs numerical methods based on conservation laws to analyze fluid flow and heat transfer.
- Defining the physical domain, discretization, and boundary condition setup are critical steps in CFD analysis.
- CFD is applicable in various engineering domains, including thermal and fluid machines, enhancing design efficiency and safety.
Key Concepts
- -- Computational Fluid Dynamics (CFD)
- A field that utilizes numerical methods and algorithms to simulate fluid flow and heat transfer.
- -- Governing Equations
- Conservation laws of physics that CFD simulations are built upon, including mass, momentum, and energy equations.
- -- Discretization
- The process of dividing the physical domain into small elements or cells to facilitate numerical analysis of the governing equations.
- -- Boundary Conditions
- Conditions defined at the edges of the computational domain that dictate fluid properties and behavior, affecting simulation accuracy.
Additional Learning Materials
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