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🧠 “The great aim of education is not knowledge but action.” – Herbert Spencer
🎙️GPU-Accelerated Fluid Dynamics - Petr Kodl
🏎️ Ferrari Aerodynamics – For CFD Enthusiasts
💻 MIT FE Procedures for Solids and Structures (Nonlinear Analysis)
🎨 Scientific Visualization: Python + Matplotlib
This book is organized into 4 parts. The first part considers the fundamental principles of the Matplotlib library. This includes reviewing the different parts that constitute a figure, the different coordinate systems, the available scales and projections, and the authors also introduce a few concepts related to typography and colors.
The authors then explore the different types of plot available and see how a figure can be ornamented with different elements. The third part is dedicated to more advanced concepts, namely 3D figures, optimization, animation and toolkits.
💻 Launching ToffeeX – The latest in generative design
ToffeeX is a leap in generative design with an array of new features to design for any manufacturing process: AM, CNC, Milling, you name it!
You will gain insights into how ToffeeX can accelerate your design process, improve product performance, and unlock new possibilities.
🚀 The Finite Element Method (FEM) – A Beginner's Guide
A simple introduction to the Finite Element Method (FEM), how a Finite Element Analysis (FEA) workflow looks like and how it is used in the industry.
💻 Engineering Tool of the Week – CaNS (Canonical Navier-Stokes)
CaNS (Canonical Navier-Stokes) is a code for massively-parallel numerical simulations of fluid flows. It aims at solving any fluid flow of an incompressible, Newtonian fluid that can benefit from a FFT-based solver for the second-order finite-difference Poisson equation in a 3D Cartesian grid.
📚Book of the Week
Turbulence: The Legacy of A. N. Kolmogorov
This textbook presents a modern account of turbulence, one of the greatest challenges in physics. The state-of-the-art is put into historical perspective five centuries after the first studies of Leonardo and half a century after the first attempt by A. N. Kolmogorov to predict the properties of flow at very high Reynolds numbers. Such 'fully developed turbulence' is ubiquitous in both cosmical and natural environments, in engineering applications and in everyday life. The intended readership for the book ranges from first-year graduate students in mathematics, physics, astrophysics, geosciences and engineering, to professional scientists and engineers. Elementary presentations of dynamical systems ideas, of probabilistic methods (including the theory of large deviations) and of fractal geometry make this a self-contained textbook.
🙃 Meme of the Week
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Keep engineering your mind! 🧠
Jousef