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CFD is the acronym for ‘computational fluid dynamics‘ and, as the name suggests, is the branch of fluid mechanics that makes use of computers to analyze the behavior of fluids and physical systems. CFD modeling and analysis became a popular online simulation solution as the difficulty grew in applying the laws of physics directly to real-life scenarios in order to make analytical predictions. This fact became especially prevalent for fluid flow and heat transfer engineering problems.
Fluid mechanics is the science that studies the physical behavior of fluids: liquids, gases, and plasmas. As such, it relates the forces acting on a fluid body and the consequent changes in internal fields such as velocities, pressure, density, and temperature. These relations are mathematically stated through differential equations, the Navier-Stokes equations being the corollary of the known laws for the behavior of viscous fluids.
On the other hand, heat transfer is the study of how thermal energy gets generated, stored, transported, and transformed. The main mechanisms it analyzes are:
Laws of physics for fluid flow and heat transfer are expressed in terms of differential equations, most of the time with many related variables. It happens to be that some of the equations for both fields are similar; for example, the diffusion of a scalar through a flow field and the diffusion of temperature.
CFD simulation of convective heat transfer in a light bulb. Source: SimScale.
The most general of these laws for the flow of fluids is the set of Navier-Stokes equations. Yet due to their complexity, solving these equations for exact solutions can only be achieved for the simplest of cases.
This is where numerical analysis and computers come in to play; online simulation. By using numerical approximations, CFD turns the full differential equations into systems of linear equations, which are then solved to obtain field values such as velocities, pressures, and temperatures on a finite (but often large) number of points in the domain of the problem.
Although numerical methods for obtaining approximate solutions to differential equations have existed for many centuries, the ability of computers to store large amounts of numerical data and perform fast operations on them is what has turned technology into the most practical tool for physicists and engineers. At the same time, this means that one often finds that the application of CFD to practical problems is limited by the computational power available.
Simulation of incompressible airflow through a wind turbine
FD analysis allows for the modeling of fluid because of its versatility in numerically solving equations of state and physical behavior, expressed in differential or explicit form. Also, CFD modeling analyses as heat transfer problems are of paramount practical relevance, any competent simulation tool includes modules to calculate temperature distributions alongside pressure and velocities. Also, some applications can also include analysis of solids for elastic deformation or chemical reactions, among other non-fluid applications.
Typical workflow for a CFD simulation
There are many CFD software offerings in the market, some of them of general-purpose with many capabilities and some tailored for specific applications. Companies even develop their own in-house codes for specific engineering tasks. Here is a list of the most used, general-purpose suites in the industry:
A very good alternative to traditional, desktop workstation-based suites is the online simulation platform SimScale. It is built upon established solvers including OpenFOAM, providing an easy workflow, a modern user interface ran from the web browser with computations run from remote servers and relieving your local machines from intensive and lengthy tasks.
by Simscale
If you wish to learn more about CFD modeling, CFD online simulation, and CFD and start leveraging its advantages for your projects, I recommend you to:
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