These flows are characterized by velocity fluctuations in all directions with infinite number of scales. Exact analytical solution of Navier-Stokes equations for turbulent flows is not currently possible since these equations are elliptic, non‐linear, and coupled. Furthermore, direct numerical simulation (DNS) of turbulent flows is not currently practical due to significant computational resources required. So far, DNS approach has only been applied for a limited class of simple low Reynolds number applications.|
Presently, turbulence modeling based on Reynolds-Averaged Navier Stokes (RANS) equations is the most common and practical approach for turbulence simulation. RANS are time-averaged modification of Navier-Stokes equations and turbulence models are semi-empirical mathematical relations that are used to predict the general effect of turbulence. The objective of turbulence modeling is to develop equations that will predict the time-averaged velocity, pressure, and temperature fields without calculating the complete turbulent flow pattern as a function of time. Unfortunately, there is no single universally accepted turbulence model that works for all flows and all regimes. Therefore, users have to use engineering judgment to choose from a number of different alternatives sine the accuracy and effectiveness of each model varies depending on the application.
Course Process and Details
This course is completely code independent. No software is required.
E-learning courses are great alternatives and complements for continued education as they offer convenience and eliminate the need to travel. Successful application of turbulence modeling requires engineering judgment depending on physics of the flow, accuracy, project requirements, turnaround time, and computational resources available. This course offers the attendees the practical knowledge for using turbulence modeling for complex engineering applications. Through a simple and moderately technical approach, this course describes why we need turbulence modeling and how these models represent turbulent flows. Various approaches and number of popular turbulence models will be discussed along with advantages and disadvantages of these models. Many of the governing and transport equations will be presented for illustration purposes and may not be dealt in depth in this course. Strong effort is made for the course to be software neutral. However, examples from some of the more well known and popular simulation cases and software will be used throughout the session. Full notes are provided for the attendees.
Students will join the audio portion of the meetings by utilizing the VoIP (i.e. headset connected to the computer via headphone and microphone jacks) or by calling into a standard toll line. If you are interested in additional pricing to call-in using a toll-free line, please send an email to: firstname.lastname@example.org .
Who Should Attend?
This course will be valuable to all engineers aiming to use CFD as a reliable predictive tool for complex flow problems. The target audience for this course is practicing engineers who wish to learn more about how to choose and apply effective turbulence modeling in their CFD analysis. Ideally, the participant should have some knowledge of CFD analysis, but this is not essential. The material that is presented is independent of any particular software package, making it ideally suited to current and potential users of all commercial and non-commercial CFD software systems.
E-learning classes are ideal for companies with a group of engineers requiring training. E-learning classes can be provided to suit your needs and timescale. Contact us to discuss your requirements.
Kamran Fouladi, Ph.D., PE. is currently the president of InfoMec, a Computational Fluid Dynamics (CFD) consulting and training firm. Kamran has over twenty years of experience in mechanical and aerospace engineering.
He is a researcher and practitioner of CFD and he has been teaching CFD and other fluid mechanic courses at Villanova University since 2001 both at undergraduate and graduate level. Kamran is a licensed Professional Engineer (PE) in Pennsylvania
Kamranís career began in aerospace arena working at NASA Langley and United Technologiesí Pratt and Whitney (P&W) prior to establishing InfoMec CFD Consulting in year 2000. With InfoMec, Kamran has provided engineering and CFD support to projects of national importance (NASA Crew Exploration Vehicle, NASA Orionís Launch Abort Vehicle, NASA Orbital Space plane, and NASA supersonic transport and business jet aircraft) using in-house, public domain, and commercial CFD software.
He is currently focused on using CFD in the area of thermal management of complex and mission critical facilities.