
What Is Computational Fluid Dynamics?
A clear introduction to CFD: what it solves, how the equations are discretised, and when a simulation can be trusted.

Independent technology publication
Explore practical tutorials, technical articles, visual summaries and mind maps covering artificial intelligence, machine learning, CFD simulations, programming, engineering and 3D printing.
Explore
Six pillar areas, each with structured tutorials, in-depth articles and visual summaries.
Generative AI, large language models, computer vision and responsible AI explained for practitioners.
Browse topicsFrom supervised learning to MLOps and reduced-order models, with worked engineering examples.
Browse topicsCFD fundamentals, ANSYS Fluent, CFX, OpenFOAM, FDS, turbulence, meshing and validation.
Browse topicsPython, scientific computing, automation, Linux, Git and software practice for engineers.
Browse topicsChemical, mechanical and process engineering fundamentals, safety and digital twins.
Browse topicsCAD modelling, STL preparation, slicing, materials and functional engineering parts.
Browse topicsEditor's picks
In-depth technical explanations, reviewed by practising engineers before publication.

A clear introduction to CFD: what it solves, how the equations are discretised, and when a simulation can be trusted.

How engineers can apply supervised learning to real measurement and simulation data without a computer science degree.

A balanced comparison of licensing, solver capability, meshing, scripting and support for industrial and academic work.

Forward pass, loss, backpropagation and gradient descent explained step by step with a minimal worked example.

From CAD model to finished part: printers, materials, slicing settings and the checks that prevent failed prints.

Automate repetitive engineering work: batch post-processing, report generation and reproducible calculation scripts.
Hands-on
Step-by-step workflows with objectives, prerequisites, checklists and troubleshooting.
Set up, mesh, run and post-process a laminar pipe flow case from the command line.
45 min
Build, evaluate and interpret a regression model on a small engineering dataset.
35 min
Batch-read solver monitors, compute averaged quantities and generate a comparison report.
50 min
Export, repair and slice an STL so the printed part matches the design intent.
30 min
Define geometry, burners, ventilation and output devices for a compartment fire study.
90 min
Version simulation scripts and calculation notebooks without losing work or overwriting colleagues.
40 min
Visual knowledge
Explore mind maps, cheat sheets and structured summaries designed to make complex technical subjects easier to understand and remember.
The full simulation process from problem definition to validated result on one page.
Choose between k-epsilon, k-omega SST, LES and hybrid models by flow type.
MAE, RMSE, R2, precision, recall and F1 with when-to-use guidance.
A staged learning path from syntax to automated engineering pipelines.
Conduction, convection and radiation relations with dimensionless groups.
Symptom-to-cause diagram for the most common print defects.

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Practical tutorials, visual summaries and technical insights for people building the future.