Iranian AI Training Aerospace Academy

#AI #CFD

Artificial intelligence is beautifully changing the way to solve complex problems. Using machine learning and deep learning, systems can predict and make decisions based on data.

For example, in the world of CFD, you don’t need to take 200 runs to get the result. By having a dataset and training your artificial intelligence model, you can, for example, calculate the flow field and any other variables you consider for the desired geometry with a much smaller number of runs. Predict with that model of your artificial intelligence.

This is what you learn in our Deep Learning in CFD courses. 
Preliminary course information

AEROSPACE ENGINEERING ACADEMY

Applied deep learning in aerodynamics and fluid mechanics

Objective of the course:

Deep learning has found many applications in the field of fluid mechanics due to the advances in computer hardware and having access to a huge amount of generated data. For example, the aerodynamic coefficients of any desired airfoil can be obtained with very high accuracy in less than one second. In addition, in the field of computational fluid dynamics, deep learning has helped to develop solvers that can calculate the flow field around any desired object in time. much less than the common CFD solvers. In this course, in addition to reviewing the general topics of deep learning, its application in the field of CFD and aerodynamics, which has become very popular in the world of engineering, will be dealt with in a specialized way.

At the end of the season:

e Estimation of aerodynamic coefficients with the help of deep learning e Application of deep learning in Super resolution program (writing reduced rank models with the help of deep learning theory and programming to solve PDE equations with the help of deep learning theory and programming e flow control with the help of deep learning theory and programming

Sensor data

ROM

High dimensional

Reduced state (a)

Limited snsor data

Course duration: 24 hours

AERO_ENG

C AEROSPACE._ACADEMY

09904971575

Advanced course information

AEROSPACE ENGINEERING ACADEMY

& Deep Learning in CFD Aerodynamics (Advanced)

Objective of the course:

The “Deep Learning in CFD & Aerodynamics” course academy is one of the practical and innovative aerospace courses for those who are interested in coupling the two worlds of CFD and artificial intelligence in an advanced form, considering the current trend and the focus of the world in their field of expertise. The course joins the club of advanced artificial intelligence in the field of CFD Accelerate by completing the topics of the introductory course but at a professional level and by simulating up-to-date scholarly articles.

Machine Learning

Improve Physical Understanding

Simulations Improve Scaling

Reduced-Order Models

Turbulence Modeling LES and RANS)

Direct Numerical

At the end of the season:

. Chapter 1: Advanced topics in Super-resolution

. The second chapter of advanced topics in Reduced-Order Modeling and predicting the future with recurrent networks. The third chapter of advanced techniques in solving the Couple problem by optimizing meta-heuristic algorithms such as (PSO)

The challenge of disorganized networks

Course duration: 16 hours

AERO_ENG

C AEROSPACE._ACADEMY

09904971575

Aerospace Engineering Academy

Online and offline training course

“Applied deep learning in aerodynamicsand fluids” course 28 hours
September 1402
1400 thousand tomans
Teacher: Mr. Dr. Biki
(Doctorate in Aerospace, Aerodynamics)

Aerospace Engineering Academy
Aerospace_Course

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Advanced Course

آنلاین and #آفلاین training course

“Applied deep learning in CFD and aerodynamics (advanced)” course

24 hours
September 1402
1400 thousand tomans
Teacher: Mr. Dr. Biki