Two-LinkForceLab is a Python project that simulates axial force in a planar two-link mechanism across 25 geometry-motion cases, with gravity on/off comparisons and visual engineering outputs.
Two-LinkForceLab: Simulating Axial Force in a Planar Two-Link Mechanism Read More »
Learn how to install OpenFOAM on Windows using WSL, run your first simulation, and visualize the results with ParaView. This beginner-friendly guide walks you through every step—from enabling WSL and setting up Ubuntu, to executing the bubbleColumn tutorial and viewing your CFD results. Perfect for students, engineers, and anyone starting with CFD on Windows.
From Zero → CFD: Installing OpenFOAM 12 on Windows (WSL) & Visualising with ParaView Read More »
Learn how to convert a CT-scanned porous rock image into a CFD-ready mesh using Blender, SVG tools, and OpenFOAM 12. This step-by-step guide is perfect for simulating flow through real-world porous media like rocks or biological tissues.
How to Create a CFD Mesh from a CT-Scanned Rock Image (JPG to OpenFOAM Workflow) Read More »
OpenFOAM 12 continues to redefine what’s possible in CFD by offering cleaner interfaces and robust scalability, particularly for non-Newtonian fluids and specialized boundary conditions. Through custom development and careful code customization, researchers and engineers can incorporate advanced solvers, enhance scalar transport modeling, and optimize performance on HPC clusters. Check out the tutorials, experiment with the GitHub example cases, and take your computational fluid dynamics projects to the next level.
Introduction to Programming in OpenFOAM 12 Read More »
This tutorial demonstrates how to add a scalar transport equation to a custom OpenFOAM 12 solver, guiding you through code modifications, compiling the solver, and running a test case to visualize the scalar’s evolution. It’s a practical approach for enhancing your CFD simulations with passive scalar fields.
Adding a Scalar Transport Equation to a Custom Solver in OpenFOAM 12 Read More »
In my latest research update, we delve into the intriguing role of surfactants in liquid-liquid phase separation. Our study reveals how these molecules accumulate at fluid interfaces, preventing droplet coalescence and stabilizing emulsions. We also explore the modeling of surfactant effects using adsorption isotherms and population balances. This approach allows us to predict the surface area available for surfactant adsorption and quantify its impact on phase separation.
In this insightful exploration, we delve into the intricate world of oil/water emulsion separation through sedimentation-based models. Drawing from foundational work like Stoke’s law to contemporary experimental research, we uncover how mixing conditions, dispersion height, and settler diameter influence separation.
Modeling Oil/Water Emulsion Separation in Batch Systems Read More »
In this blog post, we dive into simulating the von Karman vortex street using OpenFOAM 11. This classic fluid dynamics phenomenon, characterized by swirling vortices, is replicated by placing a cylinder in a channel and analyzing the resulting drag and lift forces. With detailed steps, boundary conditions, and configuration files available for download, this post is a comprehensive guide for anyone looking to explore CFD simulations. Check out our accompanying video for a visual understanding of the velocity field around the cylinder.
Understanding the von Karman Vortex Street with OpenFOAM 11 Read More »
When studying the diffusivity of non-electrolyte solutes in liquid solutions, especially at a very dilute level, two main correlations are typically used: the Wilke-Chang correlation, the Hayduk-Laudie correlation. Also, Taylor-Duss suggest an expansion to the mentioned correlations. Wilke-Chang Correlation This method helps to estimate the binary diffusivity of a solute (A) in a solvent (B).
Estimating Liquid Binary Diffusivity Coefficients: Simplified Approaches Read More »
Dive into the fascinating world of Computational Fluid Dynamics (CFD) with our latest exploration into Enhanced Oil Recovery (EOR) techniques using OpenFOAM’s multiphaseInterFoam solver. In this insightful post, we simulate a micromodel fully saturated with oil and subject it to two different EOR strategies: water and air injection. Discover how these fluids interact with the oil, their impact on recovery efficiency, and the complex fluid dynamics at play. Whether you’re a CFD enthusiast or just curious about the science behind oil recovery, join us as we inject a dose of science into this intriguing subject. Ready to see science in action? Let’s get flowing!
