Udemyintermediateen

Computational Fluid Dynamics (CFD) for Professionals

Boost your CFD simulations! Learn practical techniques to enhance accuracy and reliability of your computational fluid dynamics results. Improve your modeling skills today.

4.5(424)
2,780students
4h 25m
Certificate
Dr Aidan Wimshurst
Dr Aidan WimshurstSenior Computational Fluid Dynamics (CFD) Engineer

Course Content

Computational Fluid Dynamics (CFD) for Professionals is an intermediate-level Udemy course taught by Dr Aidan Wimshurst. It runs 4h 25m, is taught in English, and includes a certificate of completion. Learners rate it 4.5 out of 5 from 424 reviews, with 2,780 students enrolled. It is a paid course, last updated October 2021.

Unlock Advanced CFD Skills: Master Mesh Sensitivity & Turbulence Modeling

Elevate your CFD capabilities and stand out from the crowd with this comprehensive course. Learn the techniques used by leading Computational Fluid Dynamics (CFD) engineers to achieve superior results.

  • Master Mesh Sensitivity Studies: Discover the power of Richardson Extrapolation for accurate and reliable mesh refinement. This advanced technique, recommended by the Journal of Fluids Engineering, is often overlooked in traditional engineering curricula.
  • Turbulence Model Selection: Gain expertise in choosing the optimal RANS turbulence model for your simulations. We cover both k-epsilon and k-omega SST models, enabling you to select the best fit for your specific flow physics.
  • Data Visualization: Transform your CFD data into compelling visuals. Learn to effectively interpret and utilize contour plots and line graphs to extract meaningful insights.
  • Produce Professional-Quality Reports: Develop the skills to create high-impact journal papers, conference presentations, PhD theses, Masters theses, and technical reports that surpass the quality of your peers.
  • Practical Application: Benefit from worked examples throughout the course, complete with readily usable Python code, MATLAB code, and Excel spreadsheets. The Python and MATLAB code are identical, offering flexibility for your preferred programming environment.
  • CFD Code Agnostic: These skills are universally applicable. Apply the techniques learned to any CFD code, including Fluent, CFX, OpenFOAM, and more.

By the end of this course, you'll possess the confidence and practical skills to significantly enhance your CFD calculations and produce results that impress.

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