A 3 month course which explains everything you need to know about modelling turbulence in CFD simulations
"Turbulence and RANS modeling” is designed to provide a basic understanding of the physics and modeling of Fluid Turbulence. Fluid Turbulence is an omnipresent phenomenon and hence becomes important from a fundamental understanding and engineering perspective.
An overview of fluid turbulence and related difficulties is presented in this course. The course then focuses on the industrial CFD application area, i.e., explains different turbulence models (RANS: k-epsilon, k-omega, etc) used in commercial packages, their strengths, and weaknesses. The knowledge and skills acquired would aid the students to choose the best models for a given flow problem.
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Project 1
Highlights
Consider the 2D Couette-Poiseuille flow which was a part of a challenge in the course.
We are now going to add two functionalities:
Choose a suitable distribution (exponential, geometric etc.). Do not exceed 200 grid points. Try different wall resolutions for a mesh independence study (stay in log-layer).
The flow solver will now have to use iterations over “pseudo time” to converge the equations with the model. In the code, the declaration of Arrays a,b,c,d and the TDMA solver all go inside the said iterative process. You might have to use a convergence criteria, such as, stop the loop if consecutive solutions do not change by more that 1e-5. Further, consider using under-relaxation if you encounter solver instability as:
u = r*u + (1-r)*u_old where r varies from 0 to 1 and “mixes” new and old iteration of velocity
The task is to compare velocity profiles with Cases 1-15 from the given reference.
Project 2
Highlights
The present project is related to simulating turbulent flow through pipes that are bent by 180 degrees (also known as U-bend pipes).
Background: One of the prominent applications of U-bend pipes is for the internal cooling of turbine blades that work at high temperatures. The U-bend pipes are used as “internal cooling channels” where colder air is circulated that takes the heat away from the blade. Usually, one objective is to estimate (and optimize) the pressure loss associated to the flow turning. It involves recognising the main flow features in the blade (separation, 3D flows etc.).
Task: In a short* report, compare the flow field obtained from two different turbulence models on the same mesh. Use (i) one of the k-epsilon variants and (ii) the RST model. Note that the kinematic viscosity has to be 1.725e-05 m^2/s. You can use any CFD solver but, follow the specific steps below:
Python is an interpreted high-level general-purpose programming language. It is used for data processing purposes in this course. Scientific packages have been used.
Ansys FLUENT software contains the broad physical modeling capabilities needed to model flow, turbulence, heat transfer, and reactions for industrial applications. In this course, we use it for a fundamental and advanced aerodynamics case.
Better understanding of fluid mechanics, turbulence, modeling, basic scientific coding and commercial CFD software experience. In simple words, you would be able to make informed decisions in your CFD process as compared to someone who just “tests and tries”. This might help you save (critical) time and effort in your professional life. The student will be able to understand what experts are saying/discussing on the subject.
Typical industry sectors using CFD (that involves turbulence knowledge) include Automotive, Aerospace, Chemical, Energy and CFD software development companies themselves. To be specific some of the Indian companies are Tata R&D, Mercedes Benz, Rolls Royce, Siemens, GE India, Ansys etc. Major parts of the Engineering design process may be influenced by the CFD simulations, starting from proof of concept to optimization of the product. Python (or alike techniques) are used almost universally for the tasks listed in 5a above.
Fresh (under)graduates may lack (or need a brush up) in concepts on fluid physics, basic coding and/or numerics. This course helps to fill the gap between a typical undergrad knowledge level and high requirements of good Master/PhD programmes. Also, the course might help in grasping the subject swiftly during the MS/PhD programmes. An additional specialized course is always an attraction point for the admissions teams.
At the end of the course, the student will be able to demonstrate a good level of technical aptitude in the subject. A practical orientation in the course is ensured to meet the industry skill demands. The student will be one step closer to being an expert in the applications of turbulence models in CFD. More generally, the student will be able to devise flow-component designs on the basis of physical understanding, refine and optimize them using the CFD.
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