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Computational Fluid Dynamics (CFD) Blog-Beiträge

Modeling and Simulation of Multiphase Flow in COMSOL®: Part 1

March 26, 2020

Multiphase flow can be modeled on scales ranging from fractions of microns to tens of meters. Get an overview of the dispersed and separated multiphase flow models for different types of flow.

Thermal Equilibrium and Nonequilibrium Heat Transfer in Porous Media

March 3, 2020

Heat transfer in porous media can occur under thermal equilibrium, such as a rock consisting of different minerals or trapped fluids, or nonequilibrium, like a thermal energy storage (TES) unit.

Modeling Darcian and Non-Darcian Flow in Porous Media

February 24, 2020

Get an introduction to the theory behind modeling flow in porous media, including the Kozeny–Carman, Forchheimer, Ergun, Burke–Plummer, and Navier–Stokes equations.

How to Simulate Control Systems Using the PID Controller Add-In

January 9, 2020

A PID controller can be used in a variety of industries. This blog post demonstrates how a PID controller add-in can be easily incorporated in two simulation examples.

Finding the Best Way to Make Crêpes with Fluid Dynamics Research

November 6, 2019

The recipe for the perfect crêpe calls for flour, eggs, milk, sugar, butter, and…simulation? Fluid dynamicists used simulation to solve the optimal coverage problem for crêpe making.

Building a Magnetohydrodynamic Multiphysics Model in COMSOL®

June 19, 2019

Magnetohydrodynamic models call for fluid dynamics and electromagnetics couplings. To do so, you can set up bidirectional couplings between all physics equations or building a simplified model.

Introduction to Modeling Acoustic-Structure Interactions in COMSOL®

June 12, 2019

To model an ASI problem, you need to account for the behavior of elastic waves in solids, pressure waves in fluids, and their interaction. The COMSOL® software includes interfaces for doing so.

Optimizing PID Controller Performance with COMSOL Multiphysics®

June 11, 2019

PID controllers involve three components that must work together simultaneously, and it can be challenging to get each of them just right. That’s where process control simulation comes in.


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