When an engineer is tasked with designing a new product, e.g. a winning race car for the next season, aerodynamics play an important role in the engineering process. However, aerodynamic processes are not easily quantifiable during the concept phase. Usually the only way for the engineer to optimize his designs is to conduct physical tests on product prototypes. With the rise of computers and ever-growing computational power (thanks to Moore’s law!), the field of Computational Fluid Dynamics became a commonly applied tool for generating solutions for fluid flows with or without solid interaction. In a CFD analysis, the examination of fluid flow in accordance with its physical properties such as velocity, pressure, temperature, density and viscosity is conducted. To virtually generate a solution for a physical phenomenon associated with fluid flow, without compromise on accuracy, those properties have to be considered simultaneously. A mathematical model of the physical case and a numerical method are used in a software tool to analyze the fluid flow. For instance, the Navier-Stokes equations are specified as the mathematical model of the physical case. This describes changes on all those physical properties for both fluid flow and heat transfer. The mathematical model varies in accordance with the content of the problem such as heat transfer, mass transfer, phase change, chemical reaction, etc. Moreover, the reliability of a CFD analysis highly depends on the whole structure of the process. The verification of the mathematical model is extremely important to create an accurate case for solving the problem. Besides, the determination of proper numerical methods to generate a path through the solution is as important as a mathematical model. The software, which the analysis is conducted with is one of the key elements in generating a sustainable product development process, as the amount of physical prototypes can be reduced drastically.
CFD is a simulation tool used to model fluid flow simulations which involves the use of powerful computers and applied mathematics for predicting heat and mass transfer in various processes. In recent years it has been applied in food processing equipment design.
Computational Fluid Dynamics (CFD) plays an important role in modelling and design of positive displacement screw machines. It is used mainly to identify and quantify effects of internal flows which cannot be modelled by use of other methods.
Computational Fluid Dynamics (CFD) is the analysis of fluid flows using numerical solution methods. Using CFD, you are able to analyze complex problems involving fluid-fluid, fluid-solid or fluid-gas interaction. ... Fluid dynamics is involved with physical laws in the form of partial differential equations.
ANSYS computational fluid dynamics (CFD) simulation software is a comprehensive suite of products that allows you to predict, with confidence, the impact of fluid flows on your product — throughout design and manufacturing as well as during end use.
Fluent also offers highly scalable, high-performance computing (HPC) to help solve complex, large-model computational fluid dynamics (CFD) simulations quickly and cost-effectively. Fluent set a world supercomputing record by scaling to 172,000 cores
Join CFD Institute in Bhopal at ITDP.