CFD | Computational Fluid Dynamics

   A. Increase Performance, Dependability, and Ensure Product Uniformity

Empiricism and correlations of overall parameters for non-ideal or non-equilibrium situations play a significant role in the design, scaling up, and operation of equipment in many sectors. Design correlations typically do not account for local influences. Empirically predicting nonidealities brought about by scaling up bench-top or pilot-scale equipment is typically challenging, if not impossible. Contrarily, CFD enables a thorough examination of the fluid mechanics, fluid meshing, and local impacts in a variety of processing equipment types. As a result of CFD analysis, we can easily increase performance, dependability, scale-up confidence, product uniformity, and even productivity.

 

   B. Faster Development, Shorter Design Cycles, Enhanced ROI

In contrast to traditional laboratory studies, CFD is an analysis tool that may provide enhanced visualization and rich information regarding flow-related phenomena in many various types of processing equipment. Shorter design cycles and a shorter period between the conceptual stage and field execution will result in better and faster development. This will undoubtedly be helpful in analyzing retrofit designs, diagnosing, and troubleshooting existing equipment, and reducing downtime. Above all, process improvement will result in significant time and money savings.

 

   C. Operational Efficiency and Equipment Maximization

Over the years, SimuTech Group CFD Consultants has accumulated extensive experience in the improvement of designs and operational efficacy in equipment related to oil and gas, aerospace, HVAC, automotive, and several other industries. While alternate businesses have their own CFD capabilities, SimuTech Group occasionally offers CFD simulations for them. We can help clients make the most of their valuable time by helping them analyze the CFD results, optimize fluid meshing, and assist with mentorships to create improvements.

   A. CFD Software Analyses

CFD software analyses and accompanying studies simulate fluid flow in relation to its physical characteristics, including velocity, pressure, temperature, density, and viscosity. These features must be taken into account simultaneously in order to digitally develop an accurate solution for a physical phenomenon connected to fluid flow.

 

   B. New Product Creation via CFD Software

In contrast to traditional laboratory studies, CFD is an analysis tool that may provide enhanced visualization and rich information regarding flow-related phenomena in many various types of processing equipment. Shorter design cycles and a shorter period between the conceptual stage and field execution will result in better and faster development. This will undoubtedly be helpful in analyzing retrofit designs, diagnosing, and troubleshooting existing equipment, and reducing downtime. Above all, process improvement will result in significant time and money savings.

 

   C. CFD Software & Mathematical Modeling

In a CFD software tool, the fluid flow is analyzed using a numerical method and a mathematical model of the physical scenario. For instance, the mathematical representation of the physical case is the Navier-Stokes (N-S) equations.

This explains how the physical characteristics that affect heat transmission and fluid flow change. The type of problem—heat transmission, mass transfer, phase change, chemical reaction, etc.—variates the mathematical model used to solve it. Additionally, the process’s overall structure has a significant impact on how reliable a CFD study is.

To build a solid case for fixing the problem, it is crucial to validate the mathematical model. In addition, choosing the appropriate numerical techniques is essential for producing a trustworthy solution.

 

CFD & Implications on Physical Prototypes

A sustainable product development process must include the CFD analysis since it allows for a significant reduction in the number of physical prototypes.

…To speed up analysis, scientists and engineers needed to develop a technique that would let them combine a mathematical model and a numerical method with a computer.

The following summarizes the history of computational fluid dynamics:

 Pre-20th Century: The fundamental mathematics for modeling fluid dynamics were devised in the 19th century, spawning from the Navier-Stokes Equations.  These equations describe how the velocity, pressure, temperature, and density of a moving fluid are related. In fact, the final equation was derived from two independent equations via G.G. Stokes, in England, and M. Navier, in France, in the early 1800’s.

• 1910–1935: Combining models and techniques to get numerical answers based on computations done by hand.
• 1935–1950: Early computers’ transition to computer-based computations (ENIAC). In 1953, Mitutosi Kawaguti’s uses a mechanical desk calculator to solve the problem of flow around a cylinder.
• 1950–1965: Los Alamos National Lab in the US conducted initial research utilizing computers to simulate fluid flow based on the Navier–Stokes equations.  Vorticity assessment using the stream function approach 4. The world’s first application of 2D, transient, incompressible flow.
• 1965–1975: Hess and Smith released their first scientific publication on the computational study of three-dimensional bodies in 1967 under the title “Calculation of Potential Flow About Arbitrary Bodies.”
• 1975–1985: Several yields, including submarines, surface ships, cars, helicopters, and aircraft, have been revealed and put into use thanks to codes produced by Boeing, NASA, and others.
• 1985–1995: Anthony Jameson improved the precision of their transonic flow solutions in three-dimensional planes. Both academics and industry have begun to implement commercial codes.
• 1995–Present: Profound advancements in informatics; practically every industry uses CFD globally.